This document discusses various design notations that can be used at different levels of software design, including:
- Data flow diagrams, structure charts, HIPO diagrams, pseudo code, and structured flowcharts, which can be used for external, architectural, and detailed design specifications.
- Data flow diagrams use nodes and arcs to represent processing activities and data flow. Structure charts show hierarchical structure and interconnections. HIPO diagrams use a tree structure.
- Other notations discussed include procedure templates for interface specifications, pseudo code for algorithms and logic, and decision tables for complex decision logic.
This document discusses several software cost estimation techniques:
1. Top-down and bottom-up approaches - Top-down estimates system-level costs while bottom-up estimates costs of each module and combines them.
2. Expert judgment - Widely used technique where experts estimate costs based on past similar projects. It utilizes experience but can be biased.
3. Delphi estimation - Estimators anonymously provide estimates in rounds to reach consensus without group dynamics influencing individuals.
4. Work breakdown structure - Hierarchical breakdown of either the product components or work activities to aid bottom-up estimation.
This document discusses several software design techniques: stepwise refinement, levels of abstraction, structured design, integrated top-down development, and Jackson structured programming. Stepwise refinement is a top-down technique that decomposes a system into more elementary levels. Levels of abstraction designs systems as layers with each level performing services for the next higher level. Structured design converts data flow diagrams into structure charts using design heuristics. Integrated top-down development integrates design, implementation, and testing with a hierarchical structure. Jackson structured programming maps a problem's input/output structures and operations into a program structure to solve the problem.
This document discusses criteria for modularization in software design. It defines modules as named entities that contain instructions, logic, and data structures. Good modularization aims to decompose a system into functional units with minimal coupling between modules. Modules should be designed for high cohesion (related elements) and low coupling (dependencies). The types of coupling from strongest to weakest are content, common, control, stamp, and data coupling. The document also discusses different types of cohesion within modules from weakest to strongest. The goal is functional cohesion with minimal coupling between modules.
This document discusses major factors that influence software cost estimation. It identifies programmer ability, product complexity, product size, available time, required reliability, and level of technology as key factors. It provides details on how each factor affects software cost, including equations to estimate programming time and effort based on variables like source lines of code and developer months. Program complexity is broken into three levels: application, utility, and system software. The document also discusses how underestimating code size and inability to compress development schedules can impact cost estimates.
Language and Processors for Requirements Specificationkirupasuchi1996
This document discusses several languages and processors that have been developed for requirements specification in software development. It describes Problem Statement Language (PSL) and its processor, the Problem Statement Analyzer (PSA), which were developed to allow concise statement and automated analysis of requirements. It also discusses the Requirements Statement Language (RSL) and Requirements Engineering Validation System (REVS). Finally, it provides a brief overview of Structured Analysis and Design Technique (SADT), including its data and activity diagram components.
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
The waterfall model segments the software development process into sequential phases: planning, requirements definition, design, implementation, system testing, and maintenance. Each phase has defined inputs, processes, and outputs. The planning phase involves understanding the problem, feasibility studies, and developing a solution. Requirements definition produces a specification describing the required software functions and constraints. Design identifies software components and their relationships. Implementation translates the design into code. System testing integrates and accepts the software. Maintenance modifies the software after release. While the phases are linear, the development process is not always perfectly sequential.
This document discusses various design notations that can be used at different levels of software design, including:
- Data flow diagrams, structure charts, HIPO diagrams, pseudo code, and structured flowcharts, which can be used for external, architectural, and detailed design specifications.
- Data flow diagrams use nodes and arcs to represent processing activities and data flow. Structure charts show hierarchical structure and interconnections. HIPO diagrams use a tree structure.
- Other notations discussed include procedure templates for interface specifications, pseudo code for algorithms and logic, and decision tables for complex decision logic.
This document discusses several software cost estimation techniques:
1. Top-down and bottom-up approaches - Top-down estimates system-level costs while bottom-up estimates costs of each module and combines them.
2. Expert judgment - Widely used technique where experts estimate costs based on past similar projects. It utilizes experience but can be biased.
3. Delphi estimation - Estimators anonymously provide estimates in rounds to reach consensus without group dynamics influencing individuals.
4. Work breakdown structure - Hierarchical breakdown of either the product components or work activities to aid bottom-up estimation.
This document discusses several software design techniques: stepwise refinement, levels of abstraction, structured design, integrated top-down development, and Jackson structured programming. Stepwise refinement is a top-down technique that decomposes a system into more elementary levels. Levels of abstraction designs systems as layers with each level performing services for the next higher level. Structured design converts data flow diagrams into structure charts using design heuristics. Integrated top-down development integrates design, implementation, and testing with a hierarchical structure. Jackson structured programming maps a problem's input/output structures and operations into a program structure to solve the problem.
This document discusses criteria for modularization in software design. It defines modules as named entities that contain instructions, logic, and data structures. Good modularization aims to decompose a system into functional units with minimal coupling between modules. Modules should be designed for high cohesion (related elements) and low coupling (dependencies). The types of coupling from strongest to weakest are content, common, control, stamp, and data coupling. The document also discusses different types of cohesion within modules from weakest to strongest. The goal is functional cohesion with minimal coupling between modules.
This document discusses major factors that influence software cost estimation. It identifies programmer ability, product complexity, product size, available time, required reliability, and level of technology as key factors. It provides details on how each factor affects software cost, including equations to estimate programming time and effort based on variables like source lines of code and developer months. Program complexity is broken into three levels: application, utility, and system software. The document also discusses how underestimating code size and inability to compress development schedules can impact cost estimates.
Language and Processors for Requirements Specificationkirupasuchi1996
This document discusses several languages and processors that have been developed for requirements specification in software development. It describes Problem Statement Language (PSL) and its processor, the Problem Statement Analyzer (PSA), which were developed to allow concise statement and automated analysis of requirements. It also discusses the Requirements Statement Language (RSL) and Requirements Engineering Validation System (REVS). Finally, it provides a brief overview of Structured Analysis and Design Technique (SADT), including its data and activity diagram components.
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
The waterfall model segments the software development process into sequential phases: planning, requirements definition, design, implementation, system testing, and maintenance. Each phase has defined inputs, processes, and outputs. The planning phase involves understanding the problem, feasibility studies, and developing a solution. Requirements definition produces a specification describing the required software functions and constraints. Design identifies software components and their relationships. Implementation translates the design into code. System testing integrates and accepts the software. Maintenance modifies the software after release. While the phases are linear, the development process is not always perfectly sequential.
This document outlines the typical sections and contents of a software requirements specification (SRS). It discusses 12 common sections of an SRS, including an overview, development environments, external interfaces, functional requirements, performance requirements, exception handling, implementation priorities, foreseeable changes, acceptance criteria, design guidance, a cross-reference index, and a glossary. Key sections describe functional requirements using relational or state-oriented notation, performance characteristics like response times, and exception handling categories. The SRS should have properties like being correct, complete, consistent, unambiguous, functional, and verifiable.
This document discusses 15 factors that influence quality and productivity in software development processes: individual ability, team communication, product complexity, appropriate notations, systematic approaches, change control, level of technology, level of reliability, problem understanding, available time, required skills, facilities and resources, adequacy of training, management skills, and appropriate goals. Each factor is described in 1-3 paragraphs on how it can impact quality and productivity.
Defining the Problem - Goals and requirementsStephennancy
This document discusses goals and requirements in software engineering projects. It makes the following key points:
- Goals define targets for both the development process and final work products, and can be qualitative or quantitative. Examples of each type are given.
- Requirements specify the capabilities needed to solve the problem, and include functional, performance, and interface requirements. They provide standards for the project and product.
- Both goals and requirements should be specified quantitatively when possible to avoid later misunderstandings, though this can be difficult in the planning phase. Methods for verification should also be defined.
- High-level goals can be translated into specific requirements related to quality attributes like reliability. Milestones can quantify goals
The document discusses staffing level estimation over the course of a software development project. It describes how the number of personnel needed varies at different stages: a small group is needed for planning and analysis, a larger group for architectural design, and the largest number for implementation and system testing. It also references models like the Rayleigh curve and Putnam's interpretation that estimate personnel levels over time. Tables show estimates for the distribution of effort, schedule, and personnel across activities for different project sizes. The key idea is that staffing requirements fluctuate throughout the software life cycle, with peaks during implementation and testing phases.
The document discusses different structures for programming teams:
- Democratic structure where all members participate in decisions and leadership rotates.
- Chief programmer structure with one lead programmer who designs work and manages others.
- Hierarchical structure that combines aspects of the democratic and chief programmer models with levels like project leader, senior programmers, and junior programmers.
The structures vary in things like communication paths, decision making, and suitability for different types and sizes of projects.
The document discusses several software development life cycle models:
- The phased model segments development into phases like analysis, design, implementation, testing and maintenance.
- The cost model views the life cycle in terms of costs incurred in each phase and modifying previous work.
- Prototyping involves building initial versions to explore technical issues and illustrate requirements for the customer.
- Successive versions refines an initial product skeleton through multiple iterations.
Planning the development process involves choosing a life cycle model and defining documents, milestones and reviews. This provides structure and visibility needed for control and quality.
Software maintenance typically requires 40-60% of the total lifecycle effort for a software product, with some cases requiring as much as 90%. A widely used rule of thumb is that maintenance activities are distributed as 60% for enhancements, 20% for adaptations, and 20% for corrections. Studies show the typical level of effort devoted to software maintenance is around 50% of the total lifecycle effort. Boehm suggests measuring maintenance effort using an activity ratio that considers the number of instructions added or modified over the total instructions. The effort required can then be estimated using programmer months based on the activity ratio and an effort adjustment factor. Emphasis on reliability during development can reduce future maintenance effort.
source code metrics and other maintenance tools and techniquesSiva Priya
The document discusses two source code metrics: Halstead's effort equation and McCabe's cyclomatic complexity measure. Halstead's metrics are based on counts of operators, operands, unique operators, and unique operands in source code. McCabe's measure defines the complexity of a program's control flow graph based on the number of edges, nodes, and connected components. The document also mentions that software maintenance involves a range of activities from code modification to tracking complexity metrics over time.
This document discusses various techniques for estimating software costs:
1. Expert judgment relies on experienced people's assessments but can be unreliable due to biases. The Delphi technique improves expert judgment by anonymously aggregating estimates over multiple rounds.
2. Work breakdown structures break projects down into components to estimate costs bottom-up. The COCOMO model also estimates bottom-up using algorithmic formulas adjusted by multipliers for attributes.
3. COCOMO is demonstrated through an example estimating effort of 191 person-months and a 13 month schedule for a 30,000 line embedded software project with high reliability requirements.
This Presentation contains all the topics in design concept of software engineering. This is much more helpful in designing new product. You have to consider some of the design concepts that are given in the ppt
The document discusses various aspects of planning and managing the software development process, including:
1) Developing a solution strategy and selecting a software life cycle model to provide a framework for the project.
2) Common software life cycle activities like planning, development, testing, and maintenance.
3) Using milestones, documents, and reviews to improve project visibility and management.
4) Organizing development tasks and teams using different structures like project, functional, and matrix formats.
The document discusses the software design process. It begins by explaining that software design is an iterative process that translates requirements into a blueprint for constructing the software. It then describes the main steps and outputs of the design process, which include transforming specifications into design models, reviewing designs for quality, and producing a design document. The document also covers key concepts in software design like abstraction, architecture, patterns, modularity, and information hiding.
The document discusses software development lifecycles and strategies. It describes:
1) Common lifecycle activities like planning, development, testing and maintenance. Different models can be used depending on the product.
2) Solution strategies are developed to determine the nature of possible solutions and provide a framework for design and implementation. The best strategies are developed by trained groups using techniques like brainstorming.
3) The phased lifecycle model involves a series of defined activities with inputs, processes, and outputs at each phase. Resources are required to complete each defined phase.
Real Time Systems,Issues of real time system,Notations, state oriented Petrinets,Milestones, Walkthroughs, Inspections, Test plans,Functional test,Performance test,Stress test,Structural test
Software maintenance involves modifying software after delivery to correct faults, improve performance, or adapt to changes. It aims to enhance understandability and modifiability. Key activities that improve maintainability are establishing standards, high-quality design and documentation, and configuration management to track changes. Successful maintenance requires managerial processes like change control boards to review requests and quality assurance to validate changes.
Architecture design in software engineeringPreeti Mishra
The document discusses software architectural design. It defines architecture as the structure of a system's components, their relationships, and properties. An architectural design model is transferable across different systems. The architecture enables analysis of design requirements and consideration of alternatives early in development. It represents the system in an intellectually graspable way. Common architectural styles structure systems and their components in different ways, such as data-centered, data flow, and call-and-return styles.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
Software Engineering Layered Technology Software Process FrameworkJAINAM KAPADIYA
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
Formal Specification in Software Engineering SE9koolkampus
This document discusses formal specification techniques for software. It describes algebraic techniques for specifying interfaces as abstract data types and model-based techniques for specifying system behavior. Algebraic specifications define operations and their relationships, while model-based specifications represent the system state using mathematical constructs like sets and sequences. Formal specification finds errors earlier and reduces rework, though it requires more upfront effort. The document also provides an example of formally specifying an air traffic control system and insulin pump.
The document discusses criteria for modularization in software design. It defines modules as named entities that can contain instructions, processing logic, and data structures. Modularization aims to minimize coupling between modules and maximize cohesion within modules. Strong coupling like content coupling is undesirable, while data and stamp coupling are more desirable. Cohesion within a module is best when elements are functionally related to a single function. Additional criteria for modularization include hiding design decisions and isolating machine dependencies.
The document discusses several key concepts in software design engineering including abstraction, architecture, modularity, functional independence, hiding, refinement, and refactoring. Abstraction involves separating conceptual aspects from implementation details. Architecture defines the overall software structure and components. Modularity compartmentalizes data and functions. Refinement elaborates design details through stepwise decomposition. Refactoring reorganizes design to simplify it without changing external behavior.
This document outlines the typical sections and contents of a software requirements specification (SRS). It discusses 12 common sections of an SRS, including an overview, development environments, external interfaces, functional requirements, performance requirements, exception handling, implementation priorities, foreseeable changes, acceptance criteria, design guidance, a cross-reference index, and a glossary. Key sections describe functional requirements using relational or state-oriented notation, performance characteristics like response times, and exception handling categories. The SRS should have properties like being correct, complete, consistent, unambiguous, functional, and verifiable.
This document discusses 15 factors that influence quality and productivity in software development processes: individual ability, team communication, product complexity, appropriate notations, systematic approaches, change control, level of technology, level of reliability, problem understanding, available time, required skills, facilities and resources, adequacy of training, management skills, and appropriate goals. Each factor is described in 1-3 paragraphs on how it can impact quality and productivity.
Defining the Problem - Goals and requirementsStephennancy
This document discusses goals and requirements in software engineering projects. It makes the following key points:
- Goals define targets for both the development process and final work products, and can be qualitative or quantitative. Examples of each type are given.
- Requirements specify the capabilities needed to solve the problem, and include functional, performance, and interface requirements. They provide standards for the project and product.
- Both goals and requirements should be specified quantitatively when possible to avoid later misunderstandings, though this can be difficult in the planning phase. Methods for verification should also be defined.
- High-level goals can be translated into specific requirements related to quality attributes like reliability. Milestones can quantify goals
The document discusses staffing level estimation over the course of a software development project. It describes how the number of personnel needed varies at different stages: a small group is needed for planning and analysis, a larger group for architectural design, and the largest number for implementation and system testing. It also references models like the Rayleigh curve and Putnam's interpretation that estimate personnel levels over time. Tables show estimates for the distribution of effort, schedule, and personnel across activities for different project sizes. The key idea is that staffing requirements fluctuate throughout the software life cycle, with peaks during implementation and testing phases.
The document discusses different structures for programming teams:
- Democratic structure where all members participate in decisions and leadership rotates.
- Chief programmer structure with one lead programmer who designs work and manages others.
- Hierarchical structure that combines aspects of the democratic and chief programmer models with levels like project leader, senior programmers, and junior programmers.
The structures vary in things like communication paths, decision making, and suitability for different types and sizes of projects.
The document discusses several software development life cycle models:
- The phased model segments development into phases like analysis, design, implementation, testing and maintenance.
- The cost model views the life cycle in terms of costs incurred in each phase and modifying previous work.
- Prototyping involves building initial versions to explore technical issues and illustrate requirements for the customer.
- Successive versions refines an initial product skeleton through multiple iterations.
Planning the development process involves choosing a life cycle model and defining documents, milestones and reviews. This provides structure and visibility needed for control and quality.
Software maintenance typically requires 40-60% of the total lifecycle effort for a software product, with some cases requiring as much as 90%. A widely used rule of thumb is that maintenance activities are distributed as 60% for enhancements, 20% for adaptations, and 20% for corrections. Studies show the typical level of effort devoted to software maintenance is around 50% of the total lifecycle effort. Boehm suggests measuring maintenance effort using an activity ratio that considers the number of instructions added or modified over the total instructions. The effort required can then be estimated using programmer months based on the activity ratio and an effort adjustment factor. Emphasis on reliability during development can reduce future maintenance effort.
source code metrics and other maintenance tools and techniquesSiva Priya
The document discusses two source code metrics: Halstead's effort equation and McCabe's cyclomatic complexity measure. Halstead's metrics are based on counts of operators, operands, unique operators, and unique operands in source code. McCabe's measure defines the complexity of a program's control flow graph based on the number of edges, nodes, and connected components. The document also mentions that software maintenance involves a range of activities from code modification to tracking complexity metrics over time.
This document discusses various techniques for estimating software costs:
1. Expert judgment relies on experienced people's assessments but can be unreliable due to biases. The Delphi technique improves expert judgment by anonymously aggregating estimates over multiple rounds.
2. Work breakdown structures break projects down into components to estimate costs bottom-up. The COCOMO model also estimates bottom-up using algorithmic formulas adjusted by multipliers for attributes.
3. COCOMO is demonstrated through an example estimating effort of 191 person-months and a 13 month schedule for a 30,000 line embedded software project with high reliability requirements.
This Presentation contains all the topics in design concept of software engineering. This is much more helpful in designing new product. You have to consider some of the design concepts that are given in the ppt
The document discusses various aspects of planning and managing the software development process, including:
1) Developing a solution strategy and selecting a software life cycle model to provide a framework for the project.
2) Common software life cycle activities like planning, development, testing, and maintenance.
3) Using milestones, documents, and reviews to improve project visibility and management.
4) Organizing development tasks and teams using different structures like project, functional, and matrix formats.
The document discusses the software design process. It begins by explaining that software design is an iterative process that translates requirements into a blueprint for constructing the software. It then describes the main steps and outputs of the design process, which include transforming specifications into design models, reviewing designs for quality, and producing a design document. The document also covers key concepts in software design like abstraction, architecture, patterns, modularity, and information hiding.
The document discusses software development lifecycles and strategies. It describes:
1) Common lifecycle activities like planning, development, testing and maintenance. Different models can be used depending on the product.
2) Solution strategies are developed to determine the nature of possible solutions and provide a framework for design and implementation. The best strategies are developed by trained groups using techniques like brainstorming.
3) The phased lifecycle model involves a series of defined activities with inputs, processes, and outputs at each phase. Resources are required to complete each defined phase.
Real Time Systems,Issues of real time system,Notations, state oriented Petrinets,Milestones, Walkthroughs, Inspections, Test plans,Functional test,Performance test,Stress test,Structural test
Software maintenance involves modifying software after delivery to correct faults, improve performance, or adapt to changes. It aims to enhance understandability and modifiability. Key activities that improve maintainability are establishing standards, high-quality design and documentation, and configuration management to track changes. Successful maintenance requires managerial processes like change control boards to review requests and quality assurance to validate changes.
Architecture design in software engineeringPreeti Mishra
The document discusses software architectural design. It defines architecture as the structure of a system's components, their relationships, and properties. An architectural design model is transferable across different systems. The architecture enables analysis of design requirements and consideration of alternatives early in development. It represents the system in an intellectually graspable way. Common architectural styles structure systems and their components in different ways, such as data-centered, data flow, and call-and-return styles.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
Software Engineering Layered Technology Software Process FrameworkJAINAM KAPADIYA
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
Formal Specification in Software Engineering SE9koolkampus
This document discusses formal specification techniques for software. It describes algebraic techniques for specifying interfaces as abstract data types and model-based techniques for specifying system behavior. Algebraic specifications define operations and their relationships, while model-based specifications represent the system state using mathematical constructs like sets and sequences. Formal specification finds errors earlier and reduces rework, though it requires more upfront effort. The document also provides an example of formally specifying an air traffic control system and insulin pump.
The document discusses criteria for modularization in software design. It defines modules as named entities that can contain instructions, processing logic, and data structures. Modularization aims to minimize coupling between modules and maximize cohesion within modules. Strong coupling like content coupling is undesirable, while data and stamp coupling are more desirable. Cohesion within a module is best when elements are functionally related to a single function. Additional criteria for modularization include hiding design decisions and isolating machine dependencies.
The document discusses several key concepts in software design engineering including abstraction, architecture, modularity, functional independence, hiding, refinement, and refactoring. Abstraction involves separating conceptual aspects from implementation details. Architecture defines the overall software structure and components. Modularity compartmentalizes data and functions. Refinement elaborates design details through stepwise decomposition. Refactoring reorganizes design to simplify it without changing external behavior.
Function-oriented design views a system as modules with clearly defined behaviors that interact to meet requirements. It discusses various design methodologies including structured design methodology which involves identifying inputs/outputs and transformations, and factoring modules into submodules. Design quality can be evaluated using metrics related to cohesion, coupling, complexity, and information flow.
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, information hiding, and functional independence. It explains that software design is an iterative process that transforms requirements into a blueprint for constructing the software through design models, data structures, system architecture, interfaces, and components. Good software design exhibits qualities like being bug-free, suitable for its intended purpose, and a pleasurable user experience.
UNIT 3-DEMONSTRATING A COMPREHENSIVE UNDERSTANDING OF SOFTWARE DESIGN.pptxLeahRachael
This document outlines key concepts in software design, including:
- The three types of design activities are external, architectural, and detailed design.
- Fundamental design concepts include abstraction, information hiding, structure, modularity, concurrency, verification, and aesthetics.
- Modules should have loose coupling and high cohesion. Design notations include data flow diagrams and structure charts.
The document discusses key concepts in software design such as abstraction, stepwise refinement, modularity, coupling, and cohesion. It explains that design is an iterative process that translates requirements into software components. Good design aims for loosely coupled modules with high cohesion, meaning interdependence between modules is minimized and elements within a module are tightly related. The document also outlines different types of coupling (data, content, common) and cohesion (coincidental, logical, temporal, etc.) and notes that tools like structure charts and structured flowcharts are used to design system structure.
The document discusses key concepts in software architecture and design such as control hierarchy, structural partitioning, data structures, software procedures, information hiding, cohesion, and coupling. It provides examples and definitions for each concept. Structural partitioning can be horizontal, dividing a system into input, processing, and output, or vertical, distributing control and work top-down. Information hiding and cohesion aim to decompose a solution into well-defined modules that each perform a single task. Coupling measures the interconnections between modules.
The document describes key components of software design including data design, architectural design, interface design, and procedural design. It discusses the goals of the design process which are to implement requirements, create an understandable guide for code generation and testing, and address implementation from data, functional, and behavioral perspectives. The document also covers concepts like abstraction, refinement, modularity, program structure, data structures, software procedures, information hiding, and cohesion and coupling.
The document discusses requirements engineering and software design processes. It describes the four phases of requirements engineering as feasibility study, requirements elicitation and analysis, requirements specification, and requirements validation. It also outlines the key phases of software design as architectural design, abstract specification, interface design, component design, data structure design, and algorithm design. Finally, it defines coupling and cohesion measures for evaluating relationships between modules, including different types of module coupling and cohesion.
Coupling refers to the interdependence between software modules. There are several types of coupling from loose to tight, with the tightest being content coupling where one module relies on the internal workings of another. Cohesion measures how strongly related the functionality within a module is, ranging from coincidental to functional cohesion which is the strongest. Tight coupling and low cohesion can make software harder to maintain and reuse modules.
The document discusses key concepts in software design including:
- Software design is an iterative process that translates requirements into a blueprint for constructing the software. Models are created to describe data structures, architecture, interfaces, and components.
- Design patterns, modularity, information hiding, and functional independence are fundamental concepts in software design. Architectural, interface, procedural, and data designs are created.
- Refinement is a top-down design strategy where procedural details are elaborated. Refactoring improves internal structure without changing external behavior.
When a software program is modularized, there are measures by which the quality of a design of modules and their interaction among them can be measured. These measures are called coupling and cohesion.
This document provides an overview of object oriented analysis and design using the Unified Modeling Language (UML). It discusses key concepts in object oriented programming like classes, objects, encapsulation, inheritance and polymorphism. It also outlines the software development lifecycle and phases like requirements analysis, design, coding, testing and maintenance. Finally, it introduces UML and explains how use case diagrams can be used to model the user view of a system by defining actors and use cases.
Software design is the process of transforming user requirements into a suitable form for programmers to use for coding and implementation. It is the first step in the software development life cycle and moves the focus from understanding user needs to determining technical solutions. The output of software design can be directly used for programming. Software design yields three levels of results - architectural design, high-level design, and detailed design - which break the system down into more specific components and their interactions. Modularization, concurrency, coupling, and cohesion are important concepts in software design. Verification of the software design output is important before implementation to detect any issues early.
The document discusses key aspects of software design, including:
1. The design phase transforms requirements into an implementable form using design documents and by designing module structure, control relationships, interfaces, and algorithms.
2. Good design has high cohesion and low coupling between modules, is easily understandable through consistent naming and a clean modular structure, and maintains a neat control hierarchy.
3. There are two main approaches - function-oriented design breaks the system into functions, while object-oriented design models real-world entities as objects that communicate through messages.
The document discusses key concepts in software design including:
- The goals of software design are to transform customer requirements into a suitable implementation while meeting constraints like budget and quality.
- Design involves iterations through high-level, detailed, and architectural design phases to identify modules, interfaces, data structures, and algorithms.
- Good design principles include correctness, simplicity, adaptability, and maintainability. This involves modular and hierarchical decomposition.
- Techniques like top-down and bottom-up design, as well as object-oriented design, are used to arrive at a solution through abstraction layers.
The document summarizes key aspects of architectural design for software systems. It defines software architecture as the structure of system components and relationships between them. Architecture is important for analyzing design effectiveness, considering alternatives, and managing risks. Key architectural styles described include data-centered, data flow, call and return, object-oriented, and layered. The document also discusses defining architectural context diagrams, archetypes, and components to design system architecture.
The document discusses various design concepts and elements of the design model in software engineering. It covers 12 key design concepts including abstraction, architecture, patterns, separation of concerns, modularity, and information hiding. It also discusses design classes, refinement, aspects, and refactoring. Additionally, it outlines elements of the design model including data design, architectural design, interface design, component-level design, and deployment-level design. The goal of design is to create a model of software that will correctly implement requirements and provide joy to users.
The document discusses key concepts in software design including:
1. The design phase transforms requirements into an implementable form using design documents and activities.
2. Design involves determining module structure, control flows, interfaces, and data structures.
3. Good design is understandable, efficient, correct, and maintainable. Understandability is critical for ease of maintenance.
4. Design approaches include functional and object-oriented. Functional breaks a system into functions while object-oriented uses real-world entities as abstractions.
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.
How to Create User Notification in Odoo 17Celine George
This slide will represent how to create user notification in Odoo 17. Odoo allows us to create and send custom notifications on some events or actions. We have different types of notification such as sticky notification, rainbow man effect, alert and raise exception warning or validation.
Cross-Cultural Leadership and CommunicationMattVassar1
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220711130088 Sumi Basak Virtual University EPC 3.pptx
Fundamental design concepts
1. Submitted By,
M. Lavanya, M.Sc.(CS&IT),
P. Nithya, M.Sc.(CS&IT),
N. Pandimeena, M.Sc.(CS&IT),
Nadar Saraswathi College of Arts & Science, Theni.
FUNDAMENTAL DESIGN CONCEPTS
2. Fundamental concepts of software design
includes the following techniques,
1. Abstraction
2. Structure
3. Information Hiding
4. Modularity
5. Concurrency
6. Verification
7. Design Aesthetics
3. Abstraction is the intellectual tool that allows us to deal
with concepts apart from particular instances of those
concepts.
Three widely used abstraction mechanisms in software
design are,
1. Functional Abstraction
2. Data Abstraction
3. Control Abstraction
These mechanisms allow us to control the complexity
of the design process by systematically proceeding from the
abstract to the concrete.
ABSTRACTION
4. Information hiding is a fundamental design concept for
software. Each module in the system hides the internal details
of its processing activities and modules communicate only
through well-defined interfaces.
Other candidates for information hiding include:
1. A data structure and its internal linkage
2. The format of control blocks such as those for
queues in an operating system
3. Character codes
4.Shifting, masking and other machine
dependent details
INFORMATION HIDING
5. Structure is a fundamental characteristic of computer
software.
The use of structuring permits decomposition of a large
system into smaller, more manageable units with well-defined
relationships to the other units in the system.
The most general form of system structure is the network.
Software System Structure
Network
STRUCTURE
Link
Node
6. Node
The nodes can represent processing elements that
transform data and the arcs can be used to represent data links
between nodes.
Alternatively, the nodes can represent data stores and
the arcs data transformation.
Environment group templates
Shared objects
Processes
7. Process
Each process, one might find functional abstraction
groups, data abstraction groups, and control abstraction groups.
Template group
Processing groups
Utility group
8. Group
Each group might consist of a visible specification part
and a hidden body.
The visible portion would provide attributes such as
procedure interfaces, data types, and data objects available for
use by other groups.
Visible part
Static area
Hidden part
9. The term of “module” a module is FORTRAN sub routine
module ada package "to” module is a work of individual
programmer
Modular system is collection of abstraction
• Data abstraction
• Function abstraction
• Control abstraction
The abstraction to handle problem to solved
Modularity enhance design clarity
• Implementation
• Debugging
• Testing
• Document
• Maintenance
MODULARITY
10. Modular system include:
i) Well defined sub system
ii) Each abstraction single
iii) More than one major structure
iv) Function share global data
v) Function abstract data type
11. Software system can be categorized as
Sequential
Concurrency
Sequence system can activate at any time.
Concurrency system can process simutanuously using
multiprocess available.
The implementation of time sharing, multiprocessor, real
time system and Concurrency system include:
Deadlock
Mutual exclusion
Synchronization
CONCURRENCY
12. DEADLOCK
When process in computer system are waiting are other
process executed
MUTUAL EXCLUSION
Mutual exclusion multi process do not attempt ,same
component at share process at a time
SYNCHRONIZATION
Concurrent process at different execution speed
CONCURRENCY PRINCIPLE
Fundamental of software design
13. Verification is a fundamental concept in
software design.
The verification technique has two steps:
i) verification is software requirement
definition satisfied customer need
ii) verification is the design satisfied
requirement definition
VERIFICATION
14. Aesthetics is fundamental to design, whether in art
or technology.
• Simplicity,
• Clarity,
• Elegance
• Quality of product
The mathematical elegance or structure beauty the
properties of satisfaction of requirements
AESTHETICS
16. CHARACTERISTICS
A software module to be a named entity
having the following characteristics:
Modules contain instructions, processing logic, and
data structures.
Modules can be separately compiled and stored in a
library.
Modules can be included in a program.
Module segments can be used by invoking a name
and some parameters.
Modules can use other modules.
17. EXAMPLES
Examples of modules include procedures,
subroutines, and functions; functional groups of
related procedures, subroutines, and functions;
data abstraction groups; utility groups and
concurrent processes.
Modularization allows the designer to
decompose a system into functional units, to
impose hierarchical ordering on function usage,
to implement data abstractions, and to develop
independently useful subsystems.
18. COUPLING AND COHESION
Coupling:
The strength of coupling between two modules is
influenced by the complexity of the interface, the type of
connection, and the type of communication.
Coupling between modules can be ranked on a scale of
strongest(least desirable) to weakest(most desirable) as
follows:
Content coupling
Common coupling
Control coupling
Stamp coupling
Data coupling
19. Content Coupling:
Content coupling occurs when one module
modifies local data values or instructions in
another module.
Common Coupling:
Modules are bound together by global data
structures.
Control Coupling:
Control coupling involves passing control
flags(as parameters or globals) between modules
so that one module controls the sequence of
processing steps in another module.
20. Stamp Coupling:
Stamp coupling is similar to common
coupling, except that global data items are shared
selectively among routines that require the data.
Data Coupling:
Data coupling involves the use of parameter
lists to pass data items between routines.
The most desirable form of coupling between
modules is a combination of stamp and data
coupling.
21. Cohesion:
The internal cohesion of a module is measured in
terms of the strength of binding of elements within the
module.
Cohesion of elements occurs on the scale of
weakest(least desirable) to strongest(most desirable) in
the following order:
Coincidental cohesion
Logical cohesion
Temporal cohesion
Communication cohesion
Sequential cohesion
Functional cohesion
Informational cohesion
22. Coincidental Cohesion:
Coincidental cohesion occurs when the
elements within a module have no apparent
relationship to one another.
Logical Cohesion:
Logical cohesion implies some relationship
among the elements of the module.
Ex: In a module that performs all input and
output operations, or in a module that edits all data.
23. Temporal Cohesion:
Modules with temporal cohesion exhibit
many of the same disadvantages as logically
bound modules.
A typical example of temporal cohesion is a
module that performs program initialization.
Communication Cohesion:
The elements of a module possessing
communicational cohesion refer to the same set of
input and/or output data.
Ex: “Print and Punch the Output File” is
communicationally bound.
24. Sequential Cohesion:
Sequential cohesion of elements occurs when the
output of one element is the input for the next element.
Functional Cohesion:
Functional cohesion is a strong, and hence
desirable, type of binding of elements in a module
because all elements are related to the performance of
a single function.
Informational Cohesion:
Informational cohesion of elements in a module
occurs when the module contains a complex data
structure and several routines to manipulate the data
structure.
25. OTHER MODULARIZATION
CRITERIA
Additional criteria for deciding which functions
to place in which modules of a software system
include:
Hiding difficult and changeable design decisions
Limiting the physical size of modules
Structuring the system to improve observability and
testability
Isolating machine dependencies to a few routines
Easing likely changes
Providing general purpose utility functions
Reducing the call return overhead of excessive subroutine
calls.