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SDLC: System Development Life Cycle
Dr. Dania Bilal IS 582 Spring 2008
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Systems Analysis & Design
Method used to create and maintain systems that perform specific functions. Examples: processing orders, employee payroll, acquisitions, cataloging, etc. Use of application software designed to help employees to complete these functions
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Application Software Developed internally: in businesses & other organizations Developed externally: by specific companies Off-the-shelf application software may not fit the needs of all organizations
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Components of IS Application
System software Application software Hardware Documentation & training manuals People who use the system Technical personnel People who keep system operating; trouble shooters Controls/security Prevent fraud and theft
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Software Engineering Process
Components Methodologies Techniques Tools
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Methodologies Approaches taken by system developers to develop the information system Qualitative (e.g., interviewing users) Quantitative (e.g., collect data via direct observations of users)
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Techniques Based on methodology chosen
Qualitative vs. quantitative or both Processes or procedures followed to gather data about current and/or potential users Design interviews, observations, focus groups
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IS Tools Computer-aided software engineering (CASE)
Used to develop the software Draw diagrams, models, relationships among tasks, etc.
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System Concepts Decomposition Modularity Coupling Cohesion
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Decomposition Process of breaking down a system into subsystems or smaller components Smaller components may be broken down into small parts
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Modularity A result of decomposition Divides system into modules
Makes system easier to understand, design/redesign, build/rebuild
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Coupling The degree subsystems or modules are dependent on each other in terms of operation (physically separate) Subsystems should be as independent as possible If one module fails, the other modules remain in operation
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Cohesion “The extent to which a system or subsystem performs a single function.” Examples: Check-in Check-out
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Important Concepts Data Information Database Data flow
Processing logic Process-oriented approach to SD Data-oriented approach to SD
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Systems Development Life Cycle
(Valacich, George, & Hoffer, 2006)
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Phase 1: Planning & Selection
Product identification and selection Product initiation and planning Identify potential development projects Classify and rank projects Select projects for development
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Phase 2: Systems Analysis
Determine system requirements Select appropriate methods to elicit system requirements from users of system Interviews, focus groups, surveys, discussions, or other techniques
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Phase 3: Systems Design Structure system requirements
Modeling processes Develop data flow diagrams (DFDs) based on specific rules and guidelines that lead to accurate and well-structured process models. Use DFDs to support analysis of IS
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Phase 3: Systems Design Use modeling and/or other techniques to represent data Process modeling – based on specifications Conceptual data modeling – user oriented Select best alternative design strategy using both qualitative and quantitative methods
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Phase 3: Systems Design Design the human interface
Design the interaction (dialogue) Build a prototype Perform usability testing Design the database
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Phase 4: System Implementation & Operation
Implement system: Design specifications are turned into working computer code Test code for errors and other problems Use a sample data set
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Phase 4: System Implementation & Operation
Install system Prepare documentation Train users of the system Provide support Maintain system on a regular basis
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Class Activity Work in groups Examine the SDLC
Assess how the SDLC may apply to purchasing a product of your choice. This can be a house, car, computer, etc.
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