Information systems analysis and design involves developing and maintaining computer-based information systems through a system development life cycle (SDLC) with phases like planning, analysis, design, implementation, and maintenance. Analysis involves breaking down a system to understand its components and functionality, while design creates a blueprint for how the system will be developed based on requirements. Key concepts in analysis and design include requirement analysis, abstraction, refinement, modularity, and tools like data flow diagrams and data dictionaries.
Unit 1
Introduction to software engineering, the software as product and a process
software process models – waterfall model, incremental development, reuse
oriented software engineering, introduction to agile.
Systems approach vs engineering approach,
case studies to explain 1) the importance of information systems, 2) availability
and reliability of information systems, 3) flexibility of information systems.
Unit 2
A. Software Development process : SDLC
B. Requirements Engineering – characteristics of requirement, requirement
elicitation and analysis, validation and verification
C. Identification of attributes.
D. Feasibility Analysis : technical and economic
Unit 3
3.1Data Flow Diagrams : Symbols, describing a good system with DFD
3.2DFD : leveling of DFD, logical and physical DFD
3.3Process Specification, Decision Tables.
3.4Introduction to ER Diagrams and Data Dictionary.
Unit 4
4.1Data Input Methods : Data input, coding techniques.
4.2Designing outputs : objectives of output design, design of output reports.
4.3Software development – introduction to project and modules, coupling
and cohesion
4.4 Case studies on DFD, ERD
Unit 5.
5.1Introduction and importance of software testing
5.2Software Security concept and software maintenance
5.3Control of information system
5.4Audit of information system
Unit 6
6.1Introduction to software development and deployment environment
6.2Introduction to component based software engineering
6.3Introduction to distributed software engineering
6.4Introduction to service oriented architecture
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
Unit 1
Introduction to software engineering, the software as product and a process
software process models – waterfall model, incremental development, reuse
oriented software engineering, introduction to agile.
Systems approach vs engineering approach,
case studies to explain 1) the importance of information systems, 2) availability
and reliability of information systems, 3) flexibility of information systems.
Unit 2
A. Software Development process : SDLC
B. Requirements Engineering – characteristics of requirement, requirement
elicitation and analysis, validation and verification
C. Identification of attributes.
D. Feasibility Analysis : technical and economic
Unit 3
3.1Data Flow Diagrams : Symbols, describing a good system with DFD
3.2DFD : leveling of DFD, logical and physical DFD
3.3Process Specification, Decision Tables.
3.4Introduction to ER Diagrams and Data Dictionary.
Unit 4
4.1Data Input Methods : Data input, coding techniques.
4.2Designing outputs : objectives of output design, design of output reports.
4.3Software development – introduction to project and modules, coupling
and cohesion
4.4 Case studies on DFD, ERD
Unit 5.
5.1Introduction and importance of software testing
5.2Software Security concept and software maintenance
5.3Control of information system
5.4Audit of information system
Unit 6
6.1Introduction to software development and deployment environment
6.2Introduction to component based software engineering
6.3Introduction to distributed software engineering
6.4Introduction to service oriented architecture
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
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
System Analysis and Design Project documentationMAHERMOHAMED27
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Here we uploaded E workshop system design with complete details. This details helpful for students who are freshers. Even software developers can refer this document. For project source code visit www.studentprojectguide.com
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2. introduction Information Systems Analysis and Design Complex organizational process whereby computer-based information systems are developed and maintained
3. System development life cycle Traditional methodology for developing, maintaining, and replacing information systems Phases in SDLC: Planning Analysis Design Implementation Maintenance
6. introduction ANALYSIS Analysis as ‘the breaking up of any whole so as to find out their nature, function etc. Analysis gives the conceptual understanding of a system from the logical point of view by detailing its functionality.
8. design Design as ’to make preliminary sketches of; to sketch a pattern or outline for; to plan and carry out especially by artistic arrangement or in a skilful way.’ Designing gives us the blueprint on the basis of which the actual system is developed
9. Analysis concepts and principles Requirement analysis Requirement analysis is a formal process of interacting with a client to understand and then put in a formal document the requirement of the client. While initiating the process of requirement elicitation and analysis, some key issues must be understood so that analysis is easier, they are: The key people driving the request. This will help them to focus their information gathering activity.
10. Conti…. The key people who will use the system. The financial benefit. What accounting to user is a good solution? What is the problem that system will address?
11. Analysis Principles The domain of information in which the problem operates has to be appreciated. The key functions of the system have to be defined. System must be modular. This is required to help create the system in a faster way. System has to be defined in abstract term. This helps reduce complexity. The ambiguity in the system must be reduced to enable designer to focus on the outcome clearly.
12. System requirement specification Information description : where the detailed information description is given. Functional description : where the functionality required from the system is given. Validation description : this is the data validation and business rule description required in the system.
13. Design principle It should have an overall macro view of the system rather than a tunnel view The design process should be logical. The design should reinvent the wheel. The design should be a very close abstraction of the problem. The design should be uniform and integrated The design should be structured The design should be reviewed on a real-time basis to minimize errors.
14. Design concept Abstraction Procedural abstraction Data abstraction Control abstraction Refinement Modularity
15. abstraction Abstraction is the conceptualization of an issue or problem or entity in terms of some level of generalization without regarding to irrelevant low-level details. Procedural abstraction : it is a named collection of several sequential procedural steps. Data abstraction : this is name of a set of data that defines of an object. Control abstraction : this is a named control mechanism, which has several steps.
16. refinement Refinement helps the designer in elaborating the system and bringing-out lower-level details as the design progress. This is a top- down design strategy in which design is refined after each successive step.
17. modularity It helps the designer to compartmentalize the design into functional compartments as the entire system can be conceived to be composed of a set of modules, each having its own special feature and functionality rather than a monolithic entity. Modularity helps the designer to comprehend the system better. Effective modular design in general reduces the complexity of the system by dividing system into easily understandable modules.
20. It can be two types – Logical data flow diagram and Physical data flow diagramLogical data flow diagram deals with the functional views of the system.
21. Entity is represented. Curve like represents information flow from one entity (or) process (or) data store to another Two parallel lines represent data store. a process is represented by a circle.
22. SDLC Design Phase Logical design: functional features described independently of computer platform Convert recommended solution to system specifications Physical design: logical specifications transformed to technology-specific details
