Dar Es Salaam High School has recently formed by merging several smaller schools. The head teacher wants to implement a new ICT system to manage staff and student records. A systems analyst has been hired to analyze the existing systems and recommend an improved one. The new system must produce many reports quickly and allow individual records to be found rapidly. The analyst will design the new system based on evaluating the current systems, then produce documentation for users and technical details.
The systems analyst will analyze the existing systems at Dar Es Salaam High School and recommend a new system to administer staff and student records. The analyst will design the new system based on examining current documentation, distributing questionnaires to users, and interviewing users. Once developed, the analyst will produce user and technical documentation for the new system, including test plans to evaluate the system's performance.
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced for the new system, including an overview, test plans, designs, and program details. Test results would be recorded in a table comparing expected and actual outputs to evaluate the new system.
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced for the new system, including an overview, test plans, designs, and program details. Test results would be recorded in a table comparing expected and actual outputs to evaluate the new system's performance.
The systems analyst will research the current systems at Dar Es Salaam High School through questionnaires, interviews, and examining documents. The analyst will then design a new integrated ICT system, producing documentation on the system design and technical details. After development, the system will be evaluated using test results recorded in a table comparing expected and actual results. This will help evaluate the system and identify any needed refinements.
The systems analyst will analyze the current systems at Dar Es Salaam High School and design a new ICT system. As part of the analysis, the analyst will research the current systems through methods like questionnaires, interviews, and examining documents. The analyst will then design the new system and produce documentation for both users and technical staff. This will include systems documentation outlining the overall design and program documentation for individual software components. Test results from evaluating the new system will be recorded in a table and used to refine any issues found before full implementation.
The systems analyst will research the current systems at Dar Es Salaam High School through distributing questionnaires, interviewing users, and examining documents. At the design stage, the analyst will need to consider items like hardware/software requirements, data collection formats, and report layouts. The factors influencing these designs include user requirements, data types, and output needs. Technical documentation produced after system development will include both user documentation describing how to use the system and program documentation explaining the code. Test results will be recorded in a table and compared to expected outcomes to evaluate the system.
This document discusses the development of a new ICT system for Dar Es Salaam High School by a systems analyst. It provides examiners' reports on questions related to researching the current systems, designing elements of the new system, and producing technical documentation. The reports note that while candidates were often able to list items correctly, they sometimes provided vague or general answers without specifically relating to the scenario of the high school.
The document discusses the process of developing a new ICT system for Dar Es Salaam High School, which was formed by combining six smaller schools. A systems analyst has been hired to analyze the existing systems and design a new one. The new system will need to produce hundreds of reports quickly and find individual records efficiently. The analyst will use methods like questionnaires and interviews to research the current systems. In designing the new system, the analyst will consider items like hardware/software requirements, data collection forms, and validation routines. Technical and user documentation will then be created to support the new system, including systems documentation providing an overview and program documentation describing the code. The system will be evaluated by recording test results in a table and comparing actual
The systems analyst will analyze the existing systems at Dar Es Salaam High School and recommend a new system to administer staff and student records. The analyst will design the new system based on examining current documentation, distributing questionnaires to users, and interviewing users. Once developed, the analyst will produce user and technical documentation for the new system, including test plans to evaluate the system's performance.
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced for the new system, including an overview, test plans, designs, and program details. Test results would be recorded in a table comparing expected and actual outputs to evaluate the new system.
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced for the new system, including an overview, test plans, designs, and program details. Test results would be recorded in a table comparing expected and actual outputs to evaluate the new system's performance.
The systems analyst will research the current systems at Dar Es Salaam High School through questionnaires, interviews, and examining documents. The analyst will then design a new integrated ICT system, producing documentation on the system design and technical details. After development, the system will be evaluated using test results recorded in a table comparing expected and actual results. This will help evaluate the system and identify any needed refinements.
The systems analyst will analyze the current systems at Dar Es Salaam High School and design a new ICT system. As part of the analysis, the analyst will research the current systems through methods like questionnaires, interviews, and examining documents. The analyst will then design the new system and produce documentation for both users and technical staff. This will include systems documentation outlining the overall design and program documentation for individual software components. Test results from evaluating the new system will be recorded in a table and used to refine any issues found before full implementation.
The systems analyst will research the current systems at Dar Es Salaam High School through distributing questionnaires, interviewing users, and examining documents. At the design stage, the analyst will need to consider items like hardware/software requirements, data collection formats, and report layouts. The factors influencing these designs include user requirements, data types, and output needs. Technical documentation produced after system development will include both user documentation describing how to use the system and program documentation explaining the code. Test results will be recorded in a table and compared to expected outcomes to evaluate the system.
This document discusses the development of a new ICT system for Dar Es Salaam High School by a systems analyst. It provides examiners' reports on questions related to researching the current systems, designing elements of the new system, and producing technical documentation. The reports note that while candidates were often able to list items correctly, they sometimes provided vague or general answers without specifically relating to the scenario of the high school.
The document discusses the process of developing a new ICT system for Dar Es Salaam High School, which was formed by combining six smaller schools. A systems analyst has been hired to analyze the existing systems and design a new one. The new system will need to produce hundreds of reports quickly and find individual records efficiently. The analyst will use methods like questionnaires and interviews to research the current systems. In designing the new system, the analyst will consider items like hardware/software requirements, data collection forms, and validation routines. Technical and user documentation will then be created to support the new system, including systems documentation providing an overview and program documentation describing the code. The system will be evaluated by recording test results in a table and comparing actual
The document describes a proposed FAQ-O-Matic system for universities to maintain a database of frequently asked questions (FAQs) by subject for students. The system would have three modules - a super user to control the data and administrators, administrators for each department to answer student questions, and students to post questions. It outlines the system analysis process, issues with the current manual system, how the new system would work and be an improvement, module descriptions, required software and hardware.
The document discusses modeling and simulation. It begins with introducing modeling as representing a system and simulation as operating a model over time. The history of simulation from 1940s to 1990s is then outlined. Developing simulation models involves identifying the problem, designing the model, validating it, and performing experiments. Simulation analysis includes choosing variables, developing flowcharts, verifying models, and applying results. Advantages include understanding complex systems without affecting the real system, while disadvantages are difficulty predicting results and the time-consuming nature. Application areas span military, engineering, business and biological systems.
Feasibility of Study for a Jute Mill in Software and Information EngineeringSuman Mia
This report summarizes a feasibility study conducted for The Crescent Jute Mills Co Ltd to analyze implementing a new software system. The current manual system requires many accountants, has high costs and risks of data loss and corruption. Implementing a computerized system with one computer per unit and a centralized database is found to be technically, operationally and economically feasible. It would save the company over 1.2 million rupees per year in staff costs after an initial equipment investment of 2.74 lakhs. In conclusion, using the new software system is recommended to benefit the company through reduced costs and increased efficiency, accountability and transparency.
This document discusses the system development life cycle (SDLC), which is a framework for analyzing, designing, and testing a system. It involves investigating the current system, identifying limitations, evaluating automation options, designing potential system structures, testing individual modules, integrating modules, and accepting the system if requirements are met. The SDLC phases include analysis, design, and testing.
The document outlines the various stages of a systems life cycle for implementing a new computer system for a business. The stages include analysis to identify problems and requirements, design to meet requirements specifications, testing to ensure requirements are met, implementation by installing the system for staff, and documentation and evaluation to provide instructions and assess if requirements were achieved.
Tanish Infotech Solutions India Pvt specializes in providing a wide variety of softwares for various purposes. One of them is Pathology Management System Software which is designed in userfriendly way and to ease the work.
This document discusses three aspects of software evaluation: fit for purpose, use of computational constructs, and robustness. It evaluates whether the software meets client requirements and specifications, makes efficient use of constructs like loops and arrays, and can handle unexpected or incorrect input through testing a wide range of normal, exceptional, and extreme data values.
Machine learning is a form of artificial intelligence that allows systems to learn and improve automatically through experience without being explicitly programmed. There are several types of machine learning, including supervised learning (using labeled examples to predict outcomes), unsupervised learning (discovering hidden patterns in unlabeled data), and reinforcement learning (where an agent learns through trial-and-error interactions with an environment). Machine learning enables the analysis of massive amounts of data to identify opportunities or risks, though proper training is needed to ensure accurate and effective results.
This document discusses information technology and database concepts. It covers relational, hierarchical, and network database models. It also discusses two-tier and three-tier architecture. The document then discusses system analysis and design, including defining a system, the software development life cycle, and the different phases of system analysis, design, coding, testing, implementation, and maintenance.
There are three main elements used to determine estimates for black box testing using Test Point Analysis (TPA): size, test strategy, and productivity. Size is mainly defined by the number of function points, but complexity, interfacing, and uniformity must also be considered. Test strategy depends on requirement importance and user usage/importance ratings. Productivity is affected by many factors and depends on the team. Together these three elements are used to calculate the estimated effort for black box testing on a project.
Using Machine Learning in Anti Money Laundering - Part 1Naveen Grover
In my desire to learn and understand machine learning, I decided to use an AML use case to see how machine learning can be applied to a real business scenario. These articles would cover various machine learning algorithms like classification, clustering and regression
This document describes the role and responsibilities of an Information Systems Analyst for the State Courts. The analyst assists with determining requirements for new applications, meets with users to assess needs, designs and tests applications, provides technical support and training. They are responsible for debugging applications and preparing documentation. A bachelor's degree in computer science, management information systems, or a related field plus one year of systems analysis experience is required. Knowledge of programming languages, computer capabilities, and the State Courts system is also needed.
The document discusses testing methods for Enterprise Resource Planning (ERP) systems. It outlines that testing is important to validate system functionalities, configuration, and performance to ensure high proficiency for end users. The document proposes testing an ERP system through various methods, including functional testing, integration testing, load testing, simulation, and performance testing using a web application stress tool. The testing would be done on the local network environment to identify any issues early and improve the ERP system.
Genetic fuzzy process metric measurement system for an operating systemijcseit
Operating system (Os) is the most essential software of the computer system,deprived ofit, the computer
system is totally useless. It is the frontier for assessing relevant computer resources. It performance greatly
enhances user overall objective across the system. Related literatures have try in different methods and
techniques to measure the process matric performance of the operating system but none has incorporated
the use of genetic algorithm and fuzzy logic in their varied techniques which indeed is a novel approach.
Extending the work of Michalis, this research focuses on measuring the process matrix performance of an
operating system utilizing set of operating system criteria’s while fusing fuzzy logic to handle
impreciseness and genetic for process optimization.
08 Domain KnowledgeWiki for Requirements ElicitationWalid Maalej
This document summarizes a system called a Domain Knowledge Wiki that was created to help software engineers elicit requirements by accumulating domain knowledge. The wiki uses a semi-structured template to allow engineers to easily describe domain knowledge. It provides 26 problem domain categories identified by analyzing specification change records. Examples of domain knowledge are provided to illustrate how the template is used. An initial user study found that the wiki was being used to store knowledge gained from project reports and reflection meetings.
Using machine learning in anti money laundering part 2Naveen Grover
In my desire to learn and understand machine learning, I decided to use an AML use case to see how machine learning can be applied to a real business scenario. These articles would cover various machine learning algorithms like classification, clustering and regression
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es' Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation for users and technical staff. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced after a new system is designed, implemented, and tested, such as providing overviews, test plans, and recording actual results against expected outcomes for evaluation.
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es' Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation for users and technical staff. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced after a new system is designed, implemented, and tested, such as providing overviews, test plans, and recording actual results against expected outcomes for evaluation.
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es' Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation for users and technical staff. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced after a new system is designed, implemented, and tested, such as providing overviews, test plans, and recording actual results against expected outcomes for evaluation.
The document describes a scenario where a systems analyst has been hired to design a new ICT system for Dar Es Salaam High School after several smaller schools merged. The current systems need to be analyzed and a new system designed that can produce hundreds of reports quickly and find individual records efficiently. As part of the design process, the analyst will need to include key items and factors that influence their choice. Technical and program documentation will also need to be created to support the new system design.
The systems analyst will analyze Dar Es Salaam High School's existing systems and recommend a new system to administer staff and student records. The new system will need to produce hundreds of reports quickly and find individual records fast. After designing the new system, the analyst will produce user and technical documentation.
The document discusses system engineering and requirements engineering for software systems. It covers topics such as:
1) The hierarchy of system elements including software, hardware, people, databases, documentation and procedures.
2) The requirements engineering process including inception, elicitation, elaboration, negotiation, specification and validation.
3) Techniques for eliciting requirements such as use cases, scenarios, interviews and collaborative requirements gathering meetings.
The document describes a proposed FAQ-O-Matic system for universities to maintain a database of frequently asked questions (FAQs) by subject for students. The system would have three modules - a super user to control the data and administrators, administrators for each department to answer student questions, and students to post questions. It outlines the system analysis process, issues with the current manual system, how the new system would work and be an improvement, module descriptions, required software and hardware.
The document discusses modeling and simulation. It begins with introducing modeling as representing a system and simulation as operating a model over time. The history of simulation from 1940s to 1990s is then outlined. Developing simulation models involves identifying the problem, designing the model, validating it, and performing experiments. Simulation analysis includes choosing variables, developing flowcharts, verifying models, and applying results. Advantages include understanding complex systems without affecting the real system, while disadvantages are difficulty predicting results and the time-consuming nature. Application areas span military, engineering, business and biological systems.
Feasibility of Study for a Jute Mill in Software and Information EngineeringSuman Mia
This report summarizes a feasibility study conducted for The Crescent Jute Mills Co Ltd to analyze implementing a new software system. The current manual system requires many accountants, has high costs and risks of data loss and corruption. Implementing a computerized system with one computer per unit and a centralized database is found to be technically, operationally and economically feasible. It would save the company over 1.2 million rupees per year in staff costs after an initial equipment investment of 2.74 lakhs. In conclusion, using the new software system is recommended to benefit the company through reduced costs and increased efficiency, accountability and transparency.
This document discusses the system development life cycle (SDLC), which is a framework for analyzing, designing, and testing a system. It involves investigating the current system, identifying limitations, evaluating automation options, designing potential system structures, testing individual modules, integrating modules, and accepting the system if requirements are met. The SDLC phases include analysis, design, and testing.
The document outlines the various stages of a systems life cycle for implementing a new computer system for a business. The stages include analysis to identify problems and requirements, design to meet requirements specifications, testing to ensure requirements are met, implementation by installing the system for staff, and documentation and evaluation to provide instructions and assess if requirements were achieved.
Tanish Infotech Solutions India Pvt specializes in providing a wide variety of softwares for various purposes. One of them is Pathology Management System Software which is designed in userfriendly way and to ease the work.
This document discusses three aspects of software evaluation: fit for purpose, use of computational constructs, and robustness. It evaluates whether the software meets client requirements and specifications, makes efficient use of constructs like loops and arrays, and can handle unexpected or incorrect input through testing a wide range of normal, exceptional, and extreme data values.
Machine learning is a form of artificial intelligence that allows systems to learn and improve automatically through experience without being explicitly programmed. There are several types of machine learning, including supervised learning (using labeled examples to predict outcomes), unsupervised learning (discovering hidden patterns in unlabeled data), and reinforcement learning (where an agent learns through trial-and-error interactions with an environment). Machine learning enables the analysis of massive amounts of data to identify opportunities or risks, though proper training is needed to ensure accurate and effective results.
This document discusses information technology and database concepts. It covers relational, hierarchical, and network database models. It also discusses two-tier and three-tier architecture. The document then discusses system analysis and design, including defining a system, the software development life cycle, and the different phases of system analysis, design, coding, testing, implementation, and maintenance.
There are three main elements used to determine estimates for black box testing using Test Point Analysis (TPA): size, test strategy, and productivity. Size is mainly defined by the number of function points, but complexity, interfacing, and uniformity must also be considered. Test strategy depends on requirement importance and user usage/importance ratings. Productivity is affected by many factors and depends on the team. Together these three elements are used to calculate the estimated effort for black box testing on a project.
Using Machine Learning in Anti Money Laundering - Part 1Naveen Grover
In my desire to learn and understand machine learning, I decided to use an AML use case to see how machine learning can be applied to a real business scenario. These articles would cover various machine learning algorithms like classification, clustering and regression
This document describes the role and responsibilities of an Information Systems Analyst for the State Courts. The analyst assists with determining requirements for new applications, meets with users to assess needs, designs and tests applications, provides technical support and training. They are responsible for debugging applications and preparing documentation. A bachelor's degree in computer science, management information systems, or a related field plus one year of systems analysis experience is required. Knowledge of programming languages, computer capabilities, and the State Courts system is also needed.
The document discusses testing methods for Enterprise Resource Planning (ERP) systems. It outlines that testing is important to validate system functionalities, configuration, and performance to ensure high proficiency for end users. The document proposes testing an ERP system through various methods, including functional testing, integration testing, load testing, simulation, and performance testing using a web application stress tool. The testing would be done on the local network environment to identify any issues early and improve the ERP system.
Genetic fuzzy process metric measurement system for an operating systemijcseit
Operating system (Os) is the most essential software of the computer system,deprived ofit, the computer
system is totally useless. It is the frontier for assessing relevant computer resources. It performance greatly
enhances user overall objective across the system. Related literatures have try in different methods and
techniques to measure the process matric performance of the operating system but none has incorporated
the use of genetic algorithm and fuzzy logic in their varied techniques which indeed is a novel approach.
Extending the work of Michalis, this research focuses on measuring the process matrix performance of an
operating system utilizing set of operating system criteria’s while fusing fuzzy logic to handle
impreciseness and genetic for process optimization.
08 Domain KnowledgeWiki for Requirements ElicitationWalid Maalej
This document summarizes a system called a Domain Knowledge Wiki that was created to help software engineers elicit requirements by accumulating domain knowledge. The wiki uses a semi-structured template to allow engineers to easily describe domain knowledge. It provides 26 problem domain categories identified by analyzing specification change records. Examples of domain knowledge are provided to illustrate how the template is used. An initial user study found that the wiki was being used to store knowledge gained from project reports and reflection meetings.
Using machine learning in anti money laundering part 2Naveen Grover
In my desire to learn and understand machine learning, I decided to use an AML use case to see how machine learning can be applied to a real business scenario. These articles would cover various machine learning algorithms like classification, clustering and regression
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es' Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation for users and technical staff. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced after a new system is designed, implemented, and tested, such as providing overviews, test plans, and recording actual results against expected outcomes for evaluation.
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es' Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation for users and technical staff. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced after a new system is designed, implemented, and tested, such as providing overviews, test plans, and recording actual results against expected outcomes for evaluation.
The document describes a scenario where a systems analyst is hired to analyze and improve the ICT systems at Dar Es' Salaam High School after several smaller schools merged. The analyst will research the current systems, design a new integrated system, and produce documentation for users and technical staff. The questions and answers discuss methods for researching current systems like questionnaires and interviews. They also describe the purpose and contents of technical documentation produced after a new system is designed, implemented, and tested, such as providing overviews, test plans, and recording actual results against expected outcomes for evaluation.
The document describes a scenario where a systems analyst has been hired to design a new ICT system for Dar Es Salaam High School after several smaller schools merged. The current systems need to be analyzed and a new system designed that can produce hundreds of reports quickly and find individual records efficiently. As part of the design process, the analyst will need to include key items and factors that influence their choice. Technical and program documentation will also need to be created to support the new system design.
The systems analyst will analyze Dar Es Salaam High School's existing systems and recommend a new system to administer staff and student records. The new system will need to produce hundreds of reports quickly and find individual records fast. After designing the new system, the analyst will produce user and technical documentation.
The document discusses system engineering and requirements engineering for software systems. It covers topics such as:
1) The hierarchy of system elements including software, hardware, people, databases, documentation and procedures.
2) The requirements engineering process including inception, elicitation, elaboration, negotiation, specification and validation.
3) Techniques for eliciting requirements such as use cases, scenarios, interviews and collaborative requirements gathering meetings.
The document discusses system engineering and requirements engineering processes. It provides details on:
1) The hierarchy of system modeling which defines processes, represents behavior and inputs/outputs, and links components.
2) Business process engineering which focuses on enterprise goals and creates models and process frameworks.
3) Requirements engineering processes like elicitation, analysis, negotiation and validation to understand customer needs and agree on deliverables.
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 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 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 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.
This Is OEMS, Online Exam Management System. OEMS Help to give Exam Online. It's Helpful to Student on Teacher Also. It helps to complete Exam sort time. This Project Submitted By Md. Galib Hossain. Founder BdEngineers.
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 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.
Smart Sim Selector: A Software for Simulation Software SelectionCSCJournals
In a period of continuous change in global business environment, organizations, large and small, are finding it increasingly difficult to deal with, and adjust to the demands for such change. Simulation is a powerful tool for allowing designers imagine new systems and enabling them to both quantify and observe behavior. Currently the market offers a variety of simulation software packages. Some are less expensive than others. Some are generic and can be used in a wide variety of application areas while others are more specific. Some have powerful features for modeling while others provide only basic features. Modeling approaches and strategies are different for different packages. Companies are seeking advice about the desirable features of software for manufacturing simulation, depending on the purpose of its use. Because of this, the importance of an adequate approach to simulation software selection is apparent. Smart Sim Selector is a software developed for the purpose of providing support for users when selecting simulation software. Smart Sim Selector consists of a database which is linked to an interface developed using Visual Basic 6.0. The system queries a database and finds a simulation package suitable to the user, based on requirements which have been specified. This paper provides an insight into the development of Smart Sim Selector, in addition to the reasoning behind the system.
75629 Topic prevention measures for vulneranbilitiesNumber of.docxsleeperharwell
75629 Topic: prevention measures for vulneranbilities
Number of Pages: 2 (Double Spaced)
Number of sources: 1
Writing Style: APA
Type of document: Editing
Academic Level:Undergraduate
Category: Computer Science
Language Style: English (U.S.)
Order Instructions: Attached
After identifying your organizations' vulnerabilities through previous weekly assignments, you now need to develop security measures to protect those vulnerabilities.
Create a spreadsheet of vulnerabilities and prevention measures for your organization.
Categorize by people, process, or technology.
Provide 350- to 700-word paper onnext steps for each prevention measure based on the vulnerability, potential incident, environmental and security controls in SDLC.
Submit your spreadsheet and paper using the Assignment Files tab.
Data Flow Diagram (DFD) Tips
Processes: Verbs
Dataflows: Nouns
Data Stores: Nouns
External Entities: Nouns
1) Process’s input & output are different
2) Each data store should have at least
one data flow in and one data flow out
3) Each process should have at least one
data flow in and one data flow out
4) All inputs and outputs should be
labeled
5) Processes should have an identifier
(Ex., 1.0, 2.0, etc.)
Process Process
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DFD_Rules.vsdxTop Process
Stage 2: Requirements Specification
Before you begin this assignment, be sure you have read the Case Study and all assignments for this class, especially Stage 4: Final System Report. The feedback you received on your Stage 1 assignment should be reviewed and used as you proceed with Stage 2.
Purpose of this Assignment
This assignment gives you the opportunity to specify clear and concise requirements, including the use of data and process models, for a system that enables a productive change in a way the business is conducted. This assignment specifically addresses the following course outcomes to enable you to:
· apply a systematic approach to .
Need for System Analysis
Stages in System Analysis
Structured SAD and tools :
DFD
Context Diagram
Decision Table
Structured Diagram.
System Development Models:
Water Flow
Prototype
Spiral
RAD
Roles and responsibilities of
System Analyst,
Database Administrator
Database Designer
The document outlines the plan for developing an online examination system, including objectives to securely connect educational institutions to the system and allow teachers to create exams, as well as limitations of only supporting multiple choice questions. A team of 6 people is organized with roles including project manager, software designer, programmers, and tester. The system will follow a waterfall model and be developed using ASP.NET and SQL.
1) The document describes a SQL-based paperless examination system that allows for descriptive exams and multiple clients.
2) The system uses a Java-based architecture with a MVC design pattern to separate the presentation from the business logic and data.
3) Key features of the system include administrative functions to schedule exams, teacher functions to create questions and student functions to take exams, all controlled through the examination system interface.
EMI and EMC Testing Laboratory Services in India.pdfURS Labs
A crucial stage in the design and production of electrical devices is EMC and EMI testing lab. The FDA, FCC, and ISO, among other regulating organizations, have established strict limitations on the emissions that are permitted from electronic devices.
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2. Scenario 4 Questions 6 and 7 Dar Es Salaam High School has recently been formed by joining together six smaller schools. The head teacher wants to have a modern ICT system to administer staff and student records. She has decided to employ a systems analyst to look at the existing systems and recommend a new system. The system will need to produce hundreds of reports in one session and should be able to find individual records very quickly. Using the results of the analysis of the current system the analyst will need to design the new system. Once the system has been designed and developed, user and technical documentation will need to be produced.
3. 6 (a) Other than observation, describe the methods that the systems analyst could use toresearch the current systems. Distribute/Hand out written questionnaires to system users (to complete) Interview current system users face to face Examining documents used in the current system
4. The answers provided were generally vague descriptions with little reference to teachers and the school. It is surprising to see that despite teachers being the focal point of this scenario as being the ‘system users’ candidates often referred to ‘workers’ or ‘employees’ thereby implying that everybody would be interviewed or given questionnaires rather than the staff concerned. Some candidates were able to answer the question well. Feedback
5. (b) Describe four different items that the systems analyst will need to include at the design stage. Using the scenario of Dar Es Salaam High School, explain the factors that will influence the choice of each item.
6. Candidates were able to score highly on the part of the question which asked for items of design but, despite being told in the question to refer to the scenario, candidates frequently gave general answers not related specifically to the scenario when explaining the factors. Feedback
7. Two from: Produced specifically for systems analysts/programmers. Helps when the system needs further development/upgrading/improvements. Helpful should any errors occur in the system and system needs amending to get rid of these errors. [2] 7 (a) Explain the purpose of technical documentation.
8. This was the part of the question which most candidates found straightforward with many scoring high marks. Feedback
9. (b) Describe the two types of technical documentation including details of the contents ofeach one. Eight from: Systems documentation.... ....provides a detailed overview of the whole system. Test data/test plans so that systems analyst can see the results of these/test results. Can use this data again to check if errors have been successfully removed. The results of the systems analysis/DFD diagrams. What is expected of the system/purpose of the system. Overall design decisions such as the choice of hardware and software/file, input and output structures. Systems flowcharts. Program documentation....
10. ....produced for program code that has been written. Description of the software/purpose of the software. Reasons for choosing those pieces of existing software that were used… ….. instead of the programmer having to write code. Input and output data formats. Program flowcharts/algorithms. Program listing – this will be a complete copy of the code used… …and annotation explaining what each module of code does. Notes that will help any future programmer to make modifications to the system.
11. This part of the question enabled candidates to score some marks with many getting quite high marks. It was, however, the question which was left unanswered by a substantial number of candidates. Feedback
12. (c) After the system has been developed it will be evaluated.Describe how test results are recorded and explain how they affect this evaluation. Three from: (A table) showing the type of test, test data, expected results, actual results and a comment on the results. (One mark for three column headings, two marks for 5 column headings.) Test results will help the systems analyst to make judgements. Comparison will be made of the actual results with the expected results. If the results are not as expected system will need to refined. Comments in the comparison table contribute to the evaluation.
13. Candidates found this the hardest question on the paper. Many were unable to visualise what a test plan would look like and instead concentrated on answering as if this was a question about types of test data with descriptions of normal/live and abnormal/extreme data. Feedback
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