The document discusses the systems analysis and design process for developing systems like a Management Information System (MIS). It describes the key stages in the systems development life cycle, including problem recognition, feasibility study, systems analysis, design, testing, implementation, and maintenance. It provides details on various techniques and considerations used at each stage, such as classifying problem types during problem recognition, assessing technical, operational, and economic feasibility, gathering requirements, and designing system components. The iterative nature of systems development is also emphasized.
01 isad-information system analysis and design intro by S. A. AHSAN RAJONAHSAN RAJON
This document provides an overview of a course on Information System Analysis and Design (ISAD). It discusses key topics that will be covered, including systems concepts, the system development life cycle, the role of the system analyst, and tools for structured analysis. Students are advised to focus on understanding topics, taking notes on key points, and relating concepts to real-world examples. The course will involve class tests and case studies of various information systems. The goal is to learn how to analyze existing systems and design new systems using a structured approach.
CIS 2303 LO1: Introduction to System Analysis and DesignAhmad Ammari
This document provides an overview of the Systems Analysis and Design course, including describing the evolution of software development methodologies and outlining the learning objectives. It defines key terms like information systems, systems analysis and design, and IT. It also explains the systems development life cycle (SDLC) model and its phases of planning, analysis, design, implementation, and support.
This document discusses systems analysis and design and the systems development life cycle (SDLC). It describes the four phases of the SDLC as planning, analysis, design, and implementation. It also outlines different SDLC models including the waterfall model, prototype model, and spiral model. It notes the pros and cons of each model and the criteria for selecting the appropriate methodology. Finally, it discusses different roles on an information systems team such as business analyst, database administrator, and systems analyst.
The document discusses systems analysis and its various phases. It defines systems analysis as a problem-solving technique that breaks down a system into components to study how well they work and interact. The key phases of systems analysis discussed are: scope definition, problem analysis, requirements analysis, logical design, and decision analysis. Each phase involves various tasks like identifying problems, analyzing requirements, designing logical structures, and selecting solutions. The document provides details on the objectives, techniques, and deliverables involved in each task and phase of the systems analysis methodology.
The document discusses the process of system analysis and design. It describes the main steps as system study, feasibility study, system analysis, system design, coding, testing, implementation, and maintenance. System analysis involves studying the current system and user requirements to specify a new system. System design develops the new system structure based on analysis. The system is then coded, tested, and implemented before ongoing maintenance. The goal is to solve problems through an organized approach to system development.
SYSTEM ANALYSIS AND DESIGN Assignment helpjohn mayer
SYSTEM ANALYSIS AND DESIGN Assignment help services at Globalwebtutors are available 24/ by online SYSTEM ANALYSIS AND DESIGN experts , SYSTEM ANALYSIS AND DESIGN tutors are available for instant SYSTEM ANALYSIS AND DESIGN questions help , SYSTEM ANALYSIS AND DESIGN writers can help you with complex SYSTEM ANALYSIS AND DESIGN dissertation requirements.
This document provides an overview of system analysis and design (SAD) by Yared Yenealem. It begins with biographical information about Yenealem and the objectives of the SAD course. It then covers key topics in SAD including what a system is, the elements and characteristics of systems, different types of information systems, and the importance of project management in SAD. Methods for representing and scheduling projects like Gantt charts and PERT charts are also discussed. The document aims to give students foundational knowledge on concepts and processes in SAD.
This document provides an overview of systems analysis and design. It discusses key concepts including:
1. Systems analysis involves collecting and interpreting facts to identify problems and decompose a system into components. Design focuses on planning how to accomplish system objectives.
2. A system has components, interrelated components, a boundary, purpose, environment, interfaces, constraints, inputs, and outputs. Characteristics are discussed.
3. Models used in analysis include schematic, flow, static, and dynamic models. Important concepts are decomposition, modularity, coupling, and cohesion. Open and closed systems are also covered.
01 isad-information system analysis and design intro by S. A. AHSAN RAJONAHSAN RAJON
This document provides an overview of a course on Information System Analysis and Design (ISAD). It discusses key topics that will be covered, including systems concepts, the system development life cycle, the role of the system analyst, and tools for structured analysis. Students are advised to focus on understanding topics, taking notes on key points, and relating concepts to real-world examples. The course will involve class tests and case studies of various information systems. The goal is to learn how to analyze existing systems and design new systems using a structured approach.
CIS 2303 LO1: Introduction to System Analysis and DesignAhmad Ammari
This document provides an overview of the Systems Analysis and Design course, including describing the evolution of software development methodologies and outlining the learning objectives. It defines key terms like information systems, systems analysis and design, and IT. It also explains the systems development life cycle (SDLC) model and its phases of planning, analysis, design, implementation, and support.
This document discusses systems analysis and design and the systems development life cycle (SDLC). It describes the four phases of the SDLC as planning, analysis, design, and implementation. It also outlines different SDLC models including the waterfall model, prototype model, and spiral model. It notes the pros and cons of each model and the criteria for selecting the appropriate methodology. Finally, it discusses different roles on an information systems team such as business analyst, database administrator, and systems analyst.
The document discusses systems analysis and its various phases. It defines systems analysis as a problem-solving technique that breaks down a system into components to study how well they work and interact. The key phases of systems analysis discussed are: scope definition, problem analysis, requirements analysis, logical design, and decision analysis. Each phase involves various tasks like identifying problems, analyzing requirements, designing logical structures, and selecting solutions. The document provides details on the objectives, techniques, and deliverables involved in each task and phase of the systems analysis methodology.
The document discusses the process of system analysis and design. It describes the main steps as system study, feasibility study, system analysis, system design, coding, testing, implementation, and maintenance. System analysis involves studying the current system and user requirements to specify a new system. System design develops the new system structure based on analysis. The system is then coded, tested, and implemented before ongoing maintenance. The goal is to solve problems through an organized approach to system development.
SYSTEM ANALYSIS AND DESIGN Assignment helpjohn mayer
SYSTEM ANALYSIS AND DESIGN Assignment help services at Globalwebtutors are available 24/ by online SYSTEM ANALYSIS AND DESIGN experts , SYSTEM ANALYSIS AND DESIGN tutors are available for instant SYSTEM ANALYSIS AND DESIGN questions help , SYSTEM ANALYSIS AND DESIGN writers can help you with complex SYSTEM ANALYSIS AND DESIGN dissertation requirements.
This document provides an overview of system analysis and design (SAD) by Yared Yenealem. It begins with biographical information about Yenealem and the objectives of the SAD course. It then covers key topics in SAD including what a system is, the elements and characteristics of systems, different types of information systems, and the importance of project management in SAD. Methods for representing and scheduling projects like Gantt charts and PERT charts are also discussed. The document aims to give students foundational knowledge on concepts and processes in SAD.
This document provides an overview of systems analysis and design. It discusses key concepts including:
1. Systems analysis involves collecting and interpreting facts to identify problems and decompose a system into components. Design focuses on planning how to accomplish system objectives.
2. A system has components, interrelated components, a boundary, purpose, environment, interfaces, constraints, inputs, and outputs. Characteristics are discussed.
3. Models used in analysis include schematic, flow, static, and dynamic models. Important concepts are decomposition, modularity, coupling, and cohesion. Open and closed systems are also covered.
This document provides an overview of a course on system analysis and design (SAD) taught by Yared Yenealem at Debre Tabor University in Ethiopia. It includes information about the instructor, required textbooks, course objectives, and an outline of chapter topics covering system overview, managing information system projects, the system development life cycle, and systems planning and selection. The goal of the course is to help students understand the analysis, design, development and management of computer-based information systems.
The document summarizes the systems development life cycle (SDLC) which includes four phases - planning, analysis, design, and implementation. Each phase consists of steps that produce deliverables and moves the system design forward through refinement. Methodologies like waterfall, RAD, agile help structure the SDLC process. Key factors in selecting a methodology include requirements clarity, technology familiarity, system complexity, reliability needs, and time schedules.
The document provides an overview of systems concepts and the system development life cycle (SDLC). It defines a system and lists its key characteristics as organization, interaction, interdependence, integration, and a central objective. The document also describes the elements of a system including inputs, outputs, processors, controls, boundaries/interfaces, environment, and feedback. It then discusses different types of systems and the phases of the SDLC including planning, analysis, design, implementation, and maintenance.
The document outlines the steps involved in system analysis and design for information systems development. It discusses fact finding to understand the current system, conducting a feasibility study to determine if the proposed new system is technically and economically viable, and the analysis phase where a more detailed review is performed to understand weaknesses and design system flow charts and data flow diagrams. The analysis phase also includes setting detailed objectives, reviewing constraints, updating the cost/benefit analysis, and planning for further system development.
The document discusses planning for systems analysis. It emphasizes the importance of carefully planning the approach to ensure adequate understanding of requirements. The analyst should understand project objectives and constraints. Face-to-face meetings with clients help build rapport and gather key information. Time management is also important, as there are many tasks to complete within limited time. The feasibility study determines if a project is possible and beneficial, considering operational, technical, economic and schedule feasibility.
The document discusses various methods for determining requirements in the system analysis phase of the system development life cycle (SDLC). It describes traditional methods like interviews, observations, and document analysis to gather requirements information. It also discusses modern techniques like joint application design (JAD) sessions and prototyping to structure requirements. JAD involves key stakeholders collaboratively identifying and documenting requirements. Prototyping can be useful when requirements are unclear but has potential drawbacks like becoming too focused on initial user needs or bypassing other SDLC checks. The primary deliverables of requirements determination are the various documents and notes produced to capture what the new system should do.
Software Development Methodologies-HSM, SSADMNana Sarpong
SSADM is a structured methodology for analyzing and designing computer systems. It is a waterfall approach with 5 main stages: 1) Feasibility study, 2) Requirements analysis, 3) Requirements specification, 4) Logical system specification, and 5) Physical system design. Each stage produces specific outputs and further refines the system requirements and design. SSADM provides standards and guidelines for documentation, techniques, and project structure.
The document discusses the planning phase of the systems development lifecycle. It explains that the planning phase involves building a business case, conducting a strategic plan and SWOT analysis. The business case justifies the project, describes the problem it solves, outlines the scope and costs, and identifies risks and benefits. A strategic plan includes a mission statement and identifies goals and stakeholders. SWOT analysis examines a company's strengths, weaknesses, opportunities, and threats to inform the strategic plan. Systems requests are evaluated using a standardized request form to streamline the process.
analysis and design of information systemRenu Sharma
Information systems analysis and design involves developing and maintaining computer-based information systems through a system development life cycle (SDLC) with phases like planning, analysis, design, implementation, and maintenance. Analysis involves breaking down a system to understand its components and functionality, while design creates a blueprint for how the system will be developed based on requirements. Key concepts in analysis and design include requirement analysis, abstraction, refinement, modularity, and tools like data flow diagrams and data dictionaries.
System analysis and design involves developing a complete information system including hardware, software, people, procedures, and data. System analysis is the process of understanding the current system by collecting data, analyzing processes, and identifying problems and improvements. System design develops the new system based on requirements and analysis, proceeding from general design to detailed design. Tools like flowcharts, data flow diagrams, and structured English are used to describe the system design.
Systems analysis involves separating a business system into subsystems and examining the parts in detail. A systems analyst performs tasks grouped into 5 areas as part of analyzing a system. These include planning the approach, gathering information, interpreting the information, specifying requirements, and producing reports. The analysis aims to understand objectives, constraints, potential problems, and information needs to prepare an effective analysis.
This document discusses system analysis methods. It defines system analysis as a problem solving technique that decomposes a system into component pieces to study how well they work and interact. The document outlines the objectives, stages, and phases of system analysis. It describes two main approaches: model-driven analysis which uses models like data flow diagrams; and accelerated system analysis which uses prototypes. Model-driven analysis can be structured analysis, information engineering, or object-oriented analysis. Accelerated approaches emphasize prototypes to rapidly identify requirements.
The document discusses systems analysis and design. It defines a system as a group of integrated parts that work together to achieve a common objective. There are different types of systems such as deterministic, probabilistic, closed, and open systems. A system analyst studies systems to understand how their parts interact and achieve objectives. The analyst then works to improve system efficiency by assessing problems and providing alternative solutions. Control mechanisms are important for systems to self-correct when outputs deviate from standards. The analyst acts as a liaison between users and technology to enhance system performance.
Basic concept on Systems/Software Analysis, Design & Development, how software engineering, large projects are done, collaborated, best practices & standards.
Systems analysis is a technique that breaks down a system into its components to understand how well they work together to achieve their purpose. It involves investigating business processes, determining technical, economic, and operational feasibility, defining requirements, and designing the system. The goal is to design systems and procedures that efficiently meet all business requirements and help organizations achieve their goals.
The document provides an overview of the Structured Systems Analysis and Design Method (SSADM). It describes SSADM as a comprehensive, structured approach to systems development that is considered the true successor to traditional system development lifecycles. The key techniques of SSADM are described as logical data modeling, data flow modeling, and entity event modeling. The stages of the SSADM methodology are then outlined, including feasibility study, investigation of the current environment, business system options, requirements specification, technical system options, logical design, and physical design.
This unit introduces learners to the principles of systems analysis and design. It aims to equip learners with the skills to analyze business requirements and design solutions to meet business needs. Learners will gain an understanding of the stages involved in systems analysis, including investigation, requirements analysis, and design. They will also learn about documentation such as requirements specifications. Learners will carry out a structured analysis of an actual business process and produce a requirements specification and design for a specified system requirement. The unit covers principles, methodologies, and tools for systems analysis as well as the benefits of a structured, formal analysis process.
This document provides an introduction and overview of systems analysis and design (SAD). It discusses SAD as a process for developing IT systems to support business requirements by combining information technology, people, and data. A systems analyst utilizes SAD principles to integrate technology into an organization. Information systems are developed by technically and business-oriented people to handle daily transactions, improve productivity, and help managers make decisions. Options for developing information systems include in-house applications, purchasing software packages, internet-based applications, outsourcing, and custom solutions.
The document discusses various approaches to system analysis including waterfall, prototyping, rapid application development, and agile methods. It describes the typical phases of system analysis as planning, analysis, design, implementation, and support/maintenance. Key aspects of requirements analysis are covered such as information discovery techniques like interviews, questionnaires, and joint application design sessions. The benefits and shortcomings of different system analysis methodologies are also summarized.
The document discusses different approaches to systems building, including the traditional systems lifecycle model consisting of definition, feasibility, design, development, testing, implementation, evaluation and maintenance phases. It also covers prototyping, using application software packages, end-user development, outsourcing, structured methodologies, object-oriented development, computer-aided software engineering and software reengineering.
This document provides an overview of a course on system analysis and design (SAD) taught by Yared Yenealem at Debre Tabor University in Ethiopia. It includes information about the instructor, required textbooks, course objectives, and an outline of chapter topics covering system overview, managing information system projects, the system development life cycle, and systems planning and selection. The goal of the course is to help students understand the analysis, design, development and management of computer-based information systems.
The document summarizes the systems development life cycle (SDLC) which includes four phases - planning, analysis, design, and implementation. Each phase consists of steps that produce deliverables and moves the system design forward through refinement. Methodologies like waterfall, RAD, agile help structure the SDLC process. Key factors in selecting a methodology include requirements clarity, technology familiarity, system complexity, reliability needs, and time schedules.
The document provides an overview of systems concepts and the system development life cycle (SDLC). It defines a system and lists its key characteristics as organization, interaction, interdependence, integration, and a central objective. The document also describes the elements of a system including inputs, outputs, processors, controls, boundaries/interfaces, environment, and feedback. It then discusses different types of systems and the phases of the SDLC including planning, analysis, design, implementation, and maintenance.
The document outlines the steps involved in system analysis and design for information systems development. It discusses fact finding to understand the current system, conducting a feasibility study to determine if the proposed new system is technically and economically viable, and the analysis phase where a more detailed review is performed to understand weaknesses and design system flow charts and data flow diagrams. The analysis phase also includes setting detailed objectives, reviewing constraints, updating the cost/benefit analysis, and planning for further system development.
The document discusses planning for systems analysis. It emphasizes the importance of carefully planning the approach to ensure adequate understanding of requirements. The analyst should understand project objectives and constraints. Face-to-face meetings with clients help build rapport and gather key information. Time management is also important, as there are many tasks to complete within limited time. The feasibility study determines if a project is possible and beneficial, considering operational, technical, economic and schedule feasibility.
The document discusses various methods for determining requirements in the system analysis phase of the system development life cycle (SDLC). It describes traditional methods like interviews, observations, and document analysis to gather requirements information. It also discusses modern techniques like joint application design (JAD) sessions and prototyping to structure requirements. JAD involves key stakeholders collaboratively identifying and documenting requirements. Prototyping can be useful when requirements are unclear but has potential drawbacks like becoming too focused on initial user needs or bypassing other SDLC checks. The primary deliverables of requirements determination are the various documents and notes produced to capture what the new system should do.
Software Development Methodologies-HSM, SSADMNana Sarpong
SSADM is a structured methodology for analyzing and designing computer systems. It is a waterfall approach with 5 main stages: 1) Feasibility study, 2) Requirements analysis, 3) Requirements specification, 4) Logical system specification, and 5) Physical system design. Each stage produces specific outputs and further refines the system requirements and design. SSADM provides standards and guidelines for documentation, techniques, and project structure.
The document discusses the planning phase of the systems development lifecycle. It explains that the planning phase involves building a business case, conducting a strategic plan and SWOT analysis. The business case justifies the project, describes the problem it solves, outlines the scope and costs, and identifies risks and benefits. A strategic plan includes a mission statement and identifies goals and stakeholders. SWOT analysis examines a company's strengths, weaknesses, opportunities, and threats to inform the strategic plan. Systems requests are evaluated using a standardized request form to streamline the process.
analysis and design of information systemRenu Sharma
Information systems analysis and design involves developing and maintaining computer-based information systems through a system development life cycle (SDLC) with phases like planning, analysis, design, implementation, and maintenance. Analysis involves breaking down a system to understand its components and functionality, while design creates a blueprint for how the system will be developed based on requirements. Key concepts in analysis and design include requirement analysis, abstraction, refinement, modularity, and tools like data flow diagrams and data dictionaries.
System analysis and design involves developing a complete information system including hardware, software, people, procedures, and data. System analysis is the process of understanding the current system by collecting data, analyzing processes, and identifying problems and improvements. System design develops the new system based on requirements and analysis, proceeding from general design to detailed design. Tools like flowcharts, data flow diagrams, and structured English are used to describe the system design.
Systems analysis involves separating a business system into subsystems and examining the parts in detail. A systems analyst performs tasks grouped into 5 areas as part of analyzing a system. These include planning the approach, gathering information, interpreting the information, specifying requirements, and producing reports. The analysis aims to understand objectives, constraints, potential problems, and information needs to prepare an effective analysis.
This document discusses system analysis methods. It defines system analysis as a problem solving technique that decomposes a system into component pieces to study how well they work and interact. The document outlines the objectives, stages, and phases of system analysis. It describes two main approaches: model-driven analysis which uses models like data flow diagrams; and accelerated system analysis which uses prototypes. Model-driven analysis can be structured analysis, information engineering, or object-oriented analysis. Accelerated approaches emphasize prototypes to rapidly identify requirements.
The document discusses systems analysis and design. It defines a system as a group of integrated parts that work together to achieve a common objective. There are different types of systems such as deterministic, probabilistic, closed, and open systems. A system analyst studies systems to understand how their parts interact and achieve objectives. The analyst then works to improve system efficiency by assessing problems and providing alternative solutions. Control mechanisms are important for systems to self-correct when outputs deviate from standards. The analyst acts as a liaison between users and technology to enhance system performance.
Basic concept on Systems/Software Analysis, Design & Development, how software engineering, large projects are done, collaborated, best practices & standards.
Systems analysis is a technique that breaks down a system into its components to understand how well they work together to achieve their purpose. It involves investigating business processes, determining technical, economic, and operational feasibility, defining requirements, and designing the system. The goal is to design systems and procedures that efficiently meet all business requirements and help organizations achieve their goals.
The document provides an overview of the Structured Systems Analysis and Design Method (SSADM). It describes SSADM as a comprehensive, structured approach to systems development that is considered the true successor to traditional system development lifecycles. The key techniques of SSADM are described as logical data modeling, data flow modeling, and entity event modeling. The stages of the SSADM methodology are then outlined, including feasibility study, investigation of the current environment, business system options, requirements specification, technical system options, logical design, and physical design.
This unit introduces learners to the principles of systems analysis and design. It aims to equip learners with the skills to analyze business requirements and design solutions to meet business needs. Learners will gain an understanding of the stages involved in systems analysis, including investigation, requirements analysis, and design. They will also learn about documentation such as requirements specifications. Learners will carry out a structured analysis of an actual business process and produce a requirements specification and design for a specified system requirement. The unit covers principles, methodologies, and tools for systems analysis as well as the benefits of a structured, formal analysis process.
This document provides an introduction and overview of systems analysis and design (SAD). It discusses SAD as a process for developing IT systems to support business requirements by combining information technology, people, and data. A systems analyst utilizes SAD principles to integrate technology into an organization. Information systems are developed by technically and business-oriented people to handle daily transactions, improve productivity, and help managers make decisions. Options for developing information systems include in-house applications, purchasing software packages, internet-based applications, outsourcing, and custom solutions.
The document discusses various approaches to system analysis including waterfall, prototyping, rapid application development, and agile methods. It describes the typical phases of system analysis as planning, analysis, design, implementation, and support/maintenance. Key aspects of requirements analysis are covered such as information discovery techniques like interviews, questionnaires, and joint application design sessions. The benefits and shortcomings of different system analysis methodologies are also summarized.
The document discusses different approaches to systems building, including the traditional systems lifecycle model consisting of definition, feasibility, design, development, testing, implementation, evaluation and maintenance phases. It also covers prototyping, using application software packages, end-user development, outsourcing, structured methodologies, object-oriented development, computer-aided software engineering and software reengineering.
The systems development life cycle (SDLC) describes the process for planning, creating, testing, and deploying an information system. It involves preliminary system study, feasibility study, detailed system study, system analysis, system design, coding, testing, implementation, and maintenance. The SDLC follows a structured process to ensure high quality systems while maximizing productivity and providing management controls. It originated in the 1960s to develop large scale business systems.
The system development life cycle is a framework consisting of several stages used to develop information systems and software. It includes requirements analysis, design, implementation, and post-implementation maintenance. The key stages are system analysis and design. The stages include recognition of needs, feasibility study, analysis, design, implementation, and post-implementation maintenance. Each stage addresses important questions and lays the foundation for successful completion of subsequent stages.
The document describes the system development life cycle (SDLC), which is a process used to develop, implement, and retire information systems through several steps: initiation, analysis, design, implementation, and maintenance. It involves analyzing user needs, designing the system, coding, testing, implementation, and maintenance. The waterfall model is presented as a common SDLC approach, consisting of sequential phases from requirements analysis through maintenance. Other SDLC models mentioned include iterative, spiral, object-oriented, rapid application development, and joint application development.
The document provides an overview of system planning and requirements analysis. It discusses identifying a system development project through top-down or bottom-up planning. It also covers planning the system development project, which involves preliminary investigation and fact-finding techniques like interviews. Requirements analysis is then explained as determining user needs through communication with stakeholders. The requirements analysis process, modeling, and an example are described. System planning and requirements analysis are important initial phases in the system development life cycle.
The document describes the six phases of the systems development life cycle: 1) preliminary investigation, 2) systems analysis, 3) systems design, 4) systems development, 5) systems implementation, and 6) systems maintenance. Each phase involves specific activities like gathering requirements, designing system components, developing and acquiring software/hardware, testing, training users, and ongoing maintenance. Traceability matrices are used to map requirements to designs and validate that the life cycle process is followed.
The document discusses the system development life cycle (SDLC), which includes various phases for developing and maintaining systems. The key phases are: system investigation, feasibility study, system analysis, system design, coding, testing, implementation, and maintenance. The feasibility study phase evaluates the technical, operational, economic, motivational, and schedule feasibility of a proposed system. The system analysis phase involves studying user requirements and the current system. System design then specifies how the new system will meet requirements through elements like data design, user interface design, and process design. This produces specifications for the system.
The document discusses system analysis and development models. It describes the need for system analysis from various points of view like system objectives, boundaries, importance, etc. It then explains the key stages in system analysis like system study, feasibility study, system analysis, system design, coding, testing, implementation and maintenance. It also discusses various system analysis tools like data flow diagrams, decision tables, etc.
Project on multiplex ticket bookingn system globsyn2014Md Imran
This document appears to be a project report for a movie ticket booking system developed using ASP.Net. It includes sections like acknowledgements, objectives, feasibility analysis, system requirements, database design, tables used, data flow diagrams, screenshots of the system, code snippets and references. The system allows users to book movie tickets, and has functionality for admins to add movies, theaters and manage the system. Group members who worked on the project are also listed.
The document provides an overview of the Software Development Life Cycle (SDLC), which is a process used to develop software in a logical, structured manner. It consists of six phases - system planning, system analysis, system design, system coding, system testing, and deployment and maintenance. The goal of the SDLC is to produce high-quality software that meets customer expectations with the highest quality, lowest cost, and shortest time. Each phase results in deliverables for the next phase and aims to gradually develop the system from inception of an idea through implementation and delivery.
The document discusses the system analysis and design (SAD) process. It defines a system, explains the key components of a system (input, processing, output). It then outlines the main phases of the system development life cycle including preliminary system study, feasibility study, detailed investigation/analysis, system design, implementation, and maintenance. The goal of SAD is to analyze problems, requirements and design effective software solutions to address organizational needs.
2 System development life cycle has six stages of creating a sys.docxtamicawaysmith
2 System development life cycle has six stages of creating a system. 3 Each step is important as it plays a significant role in a project. The development cycle involves the developing and implementing systems in order to retire the information systems from initiating, analyzing, designing the systems to the implementation and maintenance phases. The process is best used when creating or updating a database system and is most useful when undertaking a large project.
· Planning- Stage where you outline the problem, the main objectives, and all resources which will be required for use. 4 After that, you choose if you will create a new system, make some upgrades to the existing system or just leave the current system as it is.
· System Analysis- Determination of the client’s needs. The client is tangled as they clarify how they need the development to be carried out and in what way it will ensemble their needs. 4 Thus, documents the necessities and gets a sign-off from both the customer and administration to go forward with the system.
· System Design- It is the architectural phase. The members derive the logical plan and construction of flow of information for the system. Concrete coding is not yet underway at this period.
· System Implementation- We begin the actual coding of the system begin. Developing and installing of the system begins here. Maintenance, as well as any other future updates of the system, are carried out in this phase.
4 · System testing and Integration- After coding is comprehensive, the system goes over a severe test to see if it has any excuses and that it is steady. Once it concludes the assessments, the consumer can now use it.
· System maintenance- If a consumer has any inquiry or apprehensions about the system, they can get sustenance from the designers who remain to maintain the system. Operations such as backups and recovery can be performed in this stage as well as issuing of permissions by the system’s administrator.
Methodologies Software methodology is an outline used to assemble, strategize and regulate the development of a system. 4 Agile, RAD and JAD are software procedures, though, vary from each other.
3 Agile methodology is used for taking on software engineering schemes. They try to decrease peril by developing software in repetitions that can take up to 4 weeks. After 4 weeks have gone off each repetition, the members re-evaluate plan significances. It inspires teamwork.
There are several variances between JAD and RAD procedures. While both JAD and RAD employ teams that are contain users, managers, and Information Technology staff, they have quite a few points of dissimilarity. For example, JAD stresses on team-based information-gathering missions, that are only one phase of the growth process. RAD, however, is more of a trampled form of the whole process (Topi & Tucker, 2014). JAD is a prototypical that combines together commercial areas and IT professionals in a highly engrossed workshop. The prime re ...
Online auction system is web based application, in which the seller can sell the goods by sitting in his own house ,so the main advantage of this application is that there is no more system compatibility requirement problem. The main advantage of the online auction system is that the user can have the better choices for their investment and also it is time saving , and through this system user can invest in their own selected firm.
The document discusses the Software Development Life Cycle (SDLC), which is a process used in software engineering to design, develop, and test high-quality software. It describes the main phases of SDLC as planning, defining, designing, building, and testing. Key activities in each phase like feasibility study, requirement analysis, prototyping are explained. Various tools used for system analysis and design such as data flow diagrams, flow charts are also outlined.
The systems development life cycle (SDLC) describes the process of planning, creating, testing, and deploying an information system. It involves several key phases: preliminary analysis, requirements definition, design, development, integration and testing, deployment, maintenance, and disposal. Each phase serves an important purpose in properly analyzing requirements, designing the system, developing and testing code, deploying the final product, and maintaining or replacing the system. Testing occurs at various stages to ensure quality and identify issues. The SDLC process helps information systems meet goals on time and on budget.
This document provides an overview of knowledge-based systems and expert systems, including their development, components, advantages, disadvantages, examples, and historical context. It discusses the prototyping process for developing expert systems, common system components like rules, interfaces, and knowledge bases. Examples are provided of early successful systems like XCON and challenges that led to failures. Neural networks are introduced as a technique to improve system learning over time.
This document provides an introduction to system analysis and design. It discusses key concepts such as:
- The phases of the system development life cycle include preliminary study, feasibility study, analysis, design, coding, testing, implementation, and maintenance.
- System analysis involves studying current business processes, identifying problems, and recommending solutions.
- System design converts the logical design from analysis into a physical design, determining system inputs, outputs, and processing.
The document summarizes the key activities in the systems planning phase of an IT project, which includes project initiation, preliminary investigation, and project planning. It discusses identifying the reasons for an IT project, conducting a feasibility study to assess technical, economic and operational feasibility, and producing a feasibility report with recommendations to determine if full project planning should proceed. The goal is to understand why the system is needed and how to build it in a way that is feasible and of value to the organization.
Neural networks are inspired by biological neural systems. An artificial neural network (ANN) is an information processing paradigm that is modeled after the human brain. ANNs learn by example, through a learning process, like the way synapses strengthen in the human brain. An ANN is composed of interconnected processing nodes that work together to solve problems. It can be trained to perform tasks by considering examples without being explicitly programmed.
This document is the preface to a book on Artificial Intelligence published by Rozy Publishing House. It provides an overview of the book's contents and development process. The book contains 10 chapters that cover topics such as problem representation, structured knowledge, rule-based systems, logic, expert systems, learning techniques, search strategies, and PROLOG programming. It was created over two years by authors and academic experts to provide relevant study material for undergraduate and postgraduate AI courses. Feedback from readers is welcomed so the book can be improved in future publications.
The document discusses software quality assurance plans and methods. It defines quality, describes quality control and assurance activities like inspections, reviews and testing. It explains factors that affect quality like correctness, reliability, maintainability. Methods to assure quality discussed are verification and validation, inspections, reviews, and static analysis. The document also covers project monitoring plans and tools, software design fundamentals, objectives of design, design principles and strategies.
The document discusses software configuration management. It describes SCM as identifying, monitoring, and controlling changes made to software items during maintenance. SCM manages software configuration items (SCIs) which comprise all information produced during software development. As development progresses, SCIs increase rapidly so SCM is needed to manage and control them. SCM identifies changes, ensures proper implementation of changes, and reports on changes made. It aims to maximize productivity by minimizing errors.
The document discusses personnel planning and team structures for software engineering projects. It describes staffing as involving hiring personnel, defining requirements, recruiting, compensating, and developing employees. Personnel planning involves estimating effort and schedules for subsystems and modules to determine staffing needs over the project duration. Different team structures are also outlined, including ego-less teams, chief programmer teams, and controlled decentralized teams. Advantages and disadvantages of each structure are provided.
The document discusses software risk management and project scheduling. It defines risk as potential problems that could threaten a project's success but have not occurred yet. Risk management identifies, addresses, and eliminates these risks proactively. The document also discusses typical software risks, strategies to reduce risks, and tools for project scheduling like PERT charts, timeline charts, and Gantt charts. These tools help compartmentalize tasks, determine dependencies and allocate time to create a project schedule.
The document discusses software cost estimation and planning. It describes several models for software cost estimation including COCOMO and Putnam models. COCOMO uses staff months and lines of code to initially estimate effort which is then adjusted based on cost drivers. Putnam uses a Rayleigh curve staffing model based on volume, difficulty, and time constraints. Thorough planning is important to software projects and factors like life cycle, quality assurance, and risk management should be considered. Historical data and validated models can help produce more accurate cost and schedule estimates.
This document is the preface to a book on software engineering published by Rozy Computech Services. It provides contact information for Rozy Computech Services and acknowledges contributions to revising the book. The preface outlines the book's 9 chapters which cover topics such as software and software engineering, planning software projects, software configuration management, software requirements specifications, design and implementation, reliability, testing, maintenance, and CASE tools. It aims to acquaint students with basic software engineering concepts and current tools and techniques.
This document provides information about arrays in C programming. It defines an array as a linear list of homogeneous elements stored in consecutive memory locations. It notes that arrays always start at index 0 and end at size-1. It describes one-dimensional and multi-dimensional arrays. For one-dimensional arrays, it provides examples of declaration, definition, accessing elements, and several programs for operations like input, output, finding the largest element, and linear search. For multi-dimensional arrays, it describes how they are represented and defined with multiple subscript variables. It also includes a program to add two matrices as an example of a two-dimensional array.
C lecture 4 nested loops and jumping statements slideshareGagan Deep
Nested Loops and Jumping Statements(Loop Control Statements), Goto statement in C, Return Statement in C Exit statement in C, For Loops with Nested Loops, While Loop with Nested Loop, Do-While Loop with Nested Loops, Break Statement, Continue Statement : visit us at : www.rozyph.com
C lecture 3 control statements slideshareGagan Deep
The document discusses different types of loops in programming languages that are used for repetition of tasks. It describes while, do-while and for loops as the three main types of loops. While and do-while loops are conditional loops that check a condition each time before repeating the code block. For loops allow repetition for a set number of times using three expressions for initialization, condition and increment. Some examples are provided to demonstrate the use of these loops to print numbers from 1 to 10.
Fundamentals of ‘C’ including data types, operators and I/O statements
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This document discusses Management Information Systems (MIS). It defines MIS as systems that produce information for management at different levels to support operations, planning, control, and decision making. While computers are not essential for MIS, they have made it possible to handle large data volumes quickly and accurately. The document also discusses the difference between data and information, with information being relevant knowledge produced from processed data. It provides examples of different types of information systems like Transaction Processing Systems, Management Information Systems, and Decision Support Systems that support different management levels.
The document provides an overview of SQL and its characteristics. It discusses that SQL is a standard language for relational database management systems and provides a high-level declarative interface. The document also describes the different components of SQL including data definition language, data manipulation language, and data control language. It provides examples of creating tables and databases, inserting and querying data, and other SQL statements.
Boolean algebra was developed by George Boole and applied to electrical circuits by Claude Shannon. It uses logical operators like AND, OR, and NOT to represent logical statements that are either true or false. Boolean algebra represents the states of electrical components like switches that are either open or closed. Circuits with switches in series represent AND operations, while circuits with switches in parallel represent OR operations. Boolean algebra expresses logical relationships using variables, operators, and equations in sum-of-products or product-of-sums form. It provides a mathematical foundation for analyzing electrical circuits and digital logic.
The document discusses normalization in relational databases. It defines some key concepts like functional dependencies, normal forms, and anomalies like insertion and deletion anomalies. It explains how normalization aims to eliminate anomalies by decomposing relations and placing attributes together that are closely related based on functional dependencies. The goal of normalization is to produce a stable and flexible database design with relations that faithfully represent the enterprise data.
The document discusses normalization and different normal forms. It defines normalization as refining the database design to remove anomalies by segregating data over multiple relations. The key points covered include:
- The need for normalization to improve design, reduce redundancy, and achieve consistency by removing modification anomalies.
- First normal form requires each attribute contain a single value. Issues like deletion, insertion, and update anomalies can still occur in 1NF.
- Second normal form eliminates anomalies caused by non-key attributes depending on part of a composite key.
- Third normal form removes transitive dependencies and anomalies caused by overlapping candidate keys.
PL/SQL is a procedural language extension for SQL and the Oracle relational database. It allows developers to perform transactions in an Oracle database, define and control cursors, handle exceptions, and provide a host language for SQL. PL/SQL code is organized into logical blocks with optional declaration, mandatory executable, and optional exception handling sections. It provides benefits like improved performance, portability, and integration with SQL.
8+8+8 Rule Of Time Management For Better ProductivityRuchiRathor2
This is a great way to be more productive but a few things to
Keep in mind:
- The 8+8+8 rule offers a general guideline. You may need to adjust the schedule depending on your individual needs and commitments.
- Some days may require more work or less sleep, demanding flexibility in your approach.
- The key is to be mindful of your time allocation and strive for a healthy balance across the three categories.
Cross-Cultural Leadership and CommunicationMattVassar1
Business is done in many different ways across the world. How you connect with colleagues and communicate feedback constructively differs tremendously depending on where a person comes from. Drawing on the culture map from the cultural anthropologist, Erin Meyer, this class discusses how best to manage effectively across the invisible lines of culture.
Brand Guideline of Bashundhara A4 Paper - 2024khabri85
It outlines the basic identity elements such as symbol, logotype, colors, and typefaces. It provides examples of applying the identity to materials like letterhead, business cards, reports, folders, and websites.
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Information and Communication Technology in EducationMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 2)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐈𝐂𝐓 𝐢𝐧 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧:
Students will be able to explain the role and impact of Information and Communication Technology (ICT) in education. They will understand how ICT tools, such as computers, the internet, and educational software, enhance learning and teaching processes. By exploring various ICT applications, students will recognize how these technologies facilitate access to information, improve communication, support collaboration, and enable personalized learning experiences.
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭:
-Students will be able to discuss what constitutes reliable sources on the internet. They will learn to identify key characteristics of trustworthy information, such as credibility, accuracy, and authority. By examining different types of online sources, students will develop skills to evaluate the reliability of websites and content, ensuring they can distinguish between reputable information and misinformation.
The Science of Learning: implications for modern teachingDerek Wenmoth
Keynote presentation to the Educational Leaders hui Kōkiritia Marautanga held in Auckland on 26 June 2024. Provides a high level overview of the history and development of the science of learning, and implications for the design of learning in our modern schools and classrooms.
2. To develop a systems, such as Management
Information System (MIS), A General Business
System, we need to carry out a detailed systems
analysis and design activity. For this purpose, we
shall have an overview of various stages in this
process.
System development follows an iterative process
that recycles through each stage and almost all
stages overlap each other. This is also termed as
the System Life Cycle.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
3. SYSTEMS ANALYSIS AND DESIGN PROCESS
The complete process of systems analysis and design
may be considered as consisting of following phases
Recognition of problem (Initial Investigation) :
What is the problem or opportunity?
Feasibility study : What are the user’s needs?
What are the benefits?
How can the problem be redefined?
System analysis : What must be done to solve the
problem?,
What are the facts?
System design : How must the problem be solved?,
What is system flow?
System testing : How ready are programs for test?
Implementation : What is the actual operation?
Maintenance: Should the system be modified?
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
4. RECOGNITION OF PROBLEM
The first stage of any project, sometimes called the
preliminary assessment, is a brief investigation of
the system under consideration to provide to any
project team. The idea of developing a new system
occurs to the user when he recognizes that he has
a problem with the means by which he currently
carries out his business. This awareness marks the
beginning of the recognition of problem phase, as
almost all computer systems replace an existing
system.
A problem is well defined very rarely. It crops out
with a vague feeling such as too much delay in
order processing, or ‘We must reduce inventory
cost by any means’ or ‘the existing calculation
system is highly error prone’.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
5. A system analyst’s first task is to obtain more
crucial information by interviewing and meeting
concerned people. This will clarify how the
problem was felt, how often it occurs, how it
affects the business and which departments are
suffering with this. Analyst does not do detailed
investigation at this stage but he tries to define
the scope of the problem, classifies it and
measures its complexity to ensure that the
problem is important and real enough to require
further investigation.
A proper understanding of the problem and its
classification enables the systems analyst to
separate symptoms from the real causes It also
helps the analyst to consider it as a systems
problem rather than a business problem and there
by increasing the chances of success in proposing
solutions.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
6. Following are the major classification of the problems:
The existing system is slow and cannot respond to
information i.e. problem of responsiveness. In this
case the analyst will look to (i) find out present level
of responsiveness and factors contributing to it and
(ii) consider what changes or additions in existing
procedures or resources, utilization would improve
responsiveness and how such changes affect the
organization.
Originating workload is higher than the volume of
workload handled i.e. problem of throughput. Here
the analyst concentrates on finding the level of
productiveness, its contributing factors, which further
facilitates to improve productivity by better utilization
of resources of by modifications to methods &
resources.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
7. The present services are very expensive i.e.
problem of economy. The management
intentions could be (i) to reduce cost for same
productivity (ii) to increase productivity but at
present cost level of (iii) discontinue
unproductive operations.
Problem of Occurrence/ Reliability : At first, the
analyst checks operations, step by step, to see
when and how errors creep up & how to restrict
these errors by using various clarification
checks. For reliability, the system may have to
be designed without any ambiguity and must be
foolproof, as system failures result in loss of
business.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
8. There is a problem of information, where the
analyst would be concerned with organization of
available information, its accessibility for
decision making. These types of problems have
close relationship with the ways of data storage
and organization.
Problem of efficiency. This problem is
interrelated to all the above problems. The
analyst must create a proper balance between all
the contributing factors like response time,
workload volume, cost of processing, and
information needs etc.
Problem of security of information : Here the
analyst tries to devise controls over accessibility
of information.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
9. FEASIBILITY STUDY
If the Study proposal is accepted by management, it will
lead to an investigation of the existing system or
problem area, conducted in close collaboration with user
management and in sufficient depth to establish in broad
terms the technical, operational and economic feasibility
of proposal. Having recognised the problem areas, the
next step is to carry out an overall analysis of the system
requirements in terms of its :
The Input data Type of processing needed and
The output reports
This needs a detailed feasibility study to be carried out
by the System Analyst.
To carry out the analysis of the existing system the
system analyst may take the help of any of the following
techniques:
Interviews Questionnaires Observation
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
10. This would help him to have an in-depth study
of the existing system and understand its
strengths and weakness and the requirements
of the new proposed system.
Three phases of feasibility study is used are as
follows:
Technical feasibility Operational feasibility
Economic feasibility.
The technical feasibility is concerned with the
available hardware and software resources
whether they meet the given requirements of
the analysed system or not. It may also invoke
the study of new alternatives to solve the given
problem.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
11. The operational feasibility is to take the
operational staff into confidence. The success of
a good system depends upon the willingness of
the operating staff. They should not have any
fears like uncertainty about their jobs or control
over the working which develops a bias in their
minds towards the computerised systems. This
acts as a big barrier in the successful
implementation of any project.
The economic feasibility deals with the study of
cost benefit analysis. All the costs of the new
proposed system are compared with the benefits
which can be obtained for the management
approval. The benefits may be quantitative or
qualitative in nature.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
12. The following steps are used in the complete
feasibility study:
Study the existing system
Define the scope of the proposed system
Study the strengths and weakness of the
existing system
Study various alternatives
Carry out feasibility studies
Get the management approvals
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
13. SYSTEM ANALYSIS
Detailed investigation should be conducted with
personnel closely involved with the area under
investigation, according to the precise terms of
recognisation of problem arising out of the
feasibility study report.
The objectives at this stage are to provide
solutions to stated problems, usually in the form
of a specification to meet the users’
requirements; and to make recommendations
for a new computer-based system.
Analysis is an iterative and progressive process,
examining information flows and evaluating
various alternative design solutions until a
preferred solution emerges.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
14. It involves an in-depth study of the existing
system with to the following :
Organization structure
Sources of data origination
flow of data within the organization
Accuracy and timeliness aspect of the data
handling process.
The process of data storage
The type of data processing
The reports being generated at various stages
The new user requirements
Estimation of resources needed to design the
new system
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
15. SYSTEM DESIGN
System design is a creative as well as a technical activity.
This stage is the most time and resource consuming. It is
the real technical activity which involves the design of the
system around the computer. It includes many steps such
as :
The preparation of system outlines chart
Design of input forms, validation procedures and data
preparation procedures
Design of output reports
Code designing
Detailed file layout and file designing
Selection of system software and selection of
programming languages or database to be used
Computer procedure design
Program development
Testing of the programs
Security and Controls
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
16. SYSTEM TESTING
This phase involves the testing of overall system.
First, it test the parts separately and finally the
system as a whole. Each subsystem or independent
module and program is tested first and then through
the interfaces to other subsystems the complete
system is tested.
This is the most important phase as the system
analyst has to get the user certification for the
accuracy of the system. In other words, it may also be
referred as the acceptance testing by the user.
Such a testing should be carried out by the user, the
users representative, the system analyst, the
standards group, the external systems auditor or any
combination thereof.
The test data is normally prepared by the user to
check for all possible combination of correct data as
well as the wrong data which should be trapped by
the system and reported as an error.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
17. IMPLEMENTATION
Implementation is concerned with those tasks
leading immediately to a fully operational system.
It involves programmers, users and operations
management, but its planning and timing is a prime
function of systems analysis.
After the system has been certified by the user, it
comes to the stage of implementation.
It involves many issues like preparation for the
change over to the new system and then the actual
change over.
Preparation of the site and installation of the
facilities, training of the staff, Preparation of data
files etc. are the various steps involved which might
require the involvement of the system analyst, the
user as well as the operational management.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
18. Changeover : After all the preparations for the system
implementation are completed, comes the stage of
actual changeover. This involves the usage of new
system which has been developed and thoroughly
tested. Some of these changeover approaches are as
given below.
Direct Changeover Parallel Running Pilot
Running
Direct Changeover :In this method, the old system is
scrapped or withdrawn the moment new one is put
into use. For example if it is a Banking System, this
type of changeover would mean that the manual
record keeping is stopped and is directly handled
through the new computerized system. This could
lead to some problems if the new system does not
behave as expected. This may be the result of some
unforeseen situations which had not been taken
care of during the system analysis and design
phase.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
19. Parallel Running : Parallel running is a method of
submitting a new system to a final acceptance
test, in which data is processed using both the
old and new systems simultaneously. The result
of two systems are compared and any
discrepancies examined to see whether the
computer system is at fault.
The main drawback of this method is extra cost
because the user staff will have to work with two
systems i.e. old and new.
Pilot Running : Pilot running is an alternative to
parallel running, and consists of the allocation of
a certain amount of work to be performed by the
computer while the remainder is done by old
method. The amount of work performed on the
computer is gradually increased until the
changeover is complete and the old system is
discontinued.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
20. MAINTENANCE
Once the system has settled down and been running
for some time, the systems analyst may be involved
in amendment procedures to adapt the system to
changing conditions;
in auditing the system to check that the stated
objectives of the system are still valid in the
present environment; and
in evaluating the achievement of those objectives.
This is an ongoing exercise after the system has
been implemented. The real life would is never
static. Its requirements and objectives keep
changing. So shall be the system which have been
designed primarily to meet those objectives.
Thus the system analyst has to keep on carrying out
changes and modification into the system, a stage
called normally as system maintenance.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
21. As shown in figure (next slide), system development
follows an iterative process that recycles through
each stage and almost all stages overlap each other.
This is also termed as the SYSTEM LIFE CYCLE.
It is in the nature of system that they share a
common life cycle pattern. After a system has been
in operation for a number of years, it gradually
decays and becomes less and less effective because
of the changing environment to which it has to
adapt. For a time it is possible to overcome
problems by amendments and minor modifications
to the system but eventually it will be necessary to
acknowledge the need for fundamental changes. At
this stage the systems analyst becomes involved
and investigates the problems and the requirements
have been adequately identified, a new system can
be designed and subsequently implemented.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
23. PRINCIPLES OF SYSTEM DESIGN
There are some of the do’s and dont’s that help in
designing an effective system. Some of these are :
Principle of modular design : The system should be
broken down into smaller parts and then each part shall
be designed as a separate module. this help in paying
equal attention to all parts rather than neglecting one and
over attending another.
Principle of sub system integration : The modules
designed separately need to be integrated in a unified
whole to provide synergetic effect only the proper
integration will lead to effective working of system.
Principle of minimum information : A good system should
be designed in a way that supplies minimum amount of
information required for decision making to the user as
any additional amount of information will burden the
system for resources. However, if any additional
information is required for better decision making, system
should provide for it through query system which supplies
information on demand rather than on routine basis.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
24. Principle of user based design : The system should be
user friendly. It should not be rigid to supply only
fixed information but should be flexible enough to
give information to satisfy users.
Principle of manager-analyst co-operation : Manager
is the user of information. On the other hand Analyst
is the person responsible for the design of MIS. The
two often fail to understand each other’s
requirements and come into conflict. A good design
require the active co-operation of both for which they
might have to for go their biases.
Principle of cost effective design : Cost effectiveness
is the most important criterion for any system, if a
system cost exceeds its benefits, it will be of no use.
For this purpose we will do a cost benefit analysis.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
25. SYSTEMS ANALYSIS TOOLS
The first and obvious purpose of a system
analyst’s work is to establish precisely
What the system is intended to achieve?
What information enters it, leaves it and is held
within it?
Only when he knows to what objectives a system
is directed, and in a position to change or replace
it.
The second purpose is to enable him to
communicate with management at all levels, so
that the findings of his investigations can be
confirmed and possible changes discussed on the
basis of common knowledge.
The third purpose is to design the system i.e.
enter into system design stage.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
26. Now we are discussing a few tools which can be
used to establish these requirements of a
system analyst’s job.
Graphical Tools
Organisation Chart
Fact Finding
Interviews
Questionnaires
Observations
Data Dictionary
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
27. PROS AND CONS OF SYSTEM ANALYSIS TOOLS
Which tool is the best depends on a number of factors:
the number and complexity of the problem, the number
of actions resulting from the decisions, and the ease of
use. In reviewing the benefits and limitations of
each tool, we come to the following conclusions:
The primary strength of the DFD is its ability to
represent data flows. It may be used at high or low
levels of analysis and provides good system
documentation. However, the tool only weakly shows
input and output detail.
The data dictionary helps the analyst simplify the
structure for meeting the data requirements of the
system. If may be used at high or low levels of
analysis, but it does not provide functional details,
and it is not acceptable to many non-technical users.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com
28. Structured English is best used when the
problem requires sequences of actions with
decisions.
Decision trees are used to verify logic and in
problems that invlove a few complex
decisions resulting in a limited number of
actions.
Decision trees and decision tables are best
suited for dealing with complex branching
routines such as calculating discounts or
sales commissions or inventory control
procedures.
A decision table is perhaps the most useful tool
for communicating problem to the user.
Gagan Deep, RCS, 3rd Gate, K.U.K.,
rozygag@yahoo.com