Software Reengineering

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    Software Reengineering - Presentation Transcript

    1. Software Re-Engineering
      By Abdul Wahid
      • Introduction
      • Objective
      • Business Re-engineering process
      • Software Re-engineering process model
      • Re-engineering Approach
      • Big Bang
      • Incremental
      • Evolutionary
      • Risks Involved
      • Summary
      Contents
    2. Re-engineering is the examination, analysis and alteration of an existing software system to reconstitute it in a new form, and the subsequent implementation of the new form
      Introduction
    3. Re-engineering encompasses a combination of other processes
      reverse engineering
      Re-documentation
      Re-structuring
      translation
      forward engineering
      Re-engineering
    4. Re-structuring or re-writing part or all of a legacy system without changing its functionality
      Applicable where some but not all sub-systems of a larger system require frequent maintenance
      Re-engineering involves adding effort to make them easier to maintain. The system may be re-structured and re-documented
      System Re-engineering
    5. Reorganising and modifying existing software systems to make them more maintainable
      Software Re-engineering
    6. Preparation for functional enhancement
      Improve maintainability
      Migration
      Improve reliability
      Objectives
    7. Copyright pressman
    8. Software Re-engineering process model
      Copyright pressman
    9. Big Bang
      Incremental
      Evolutionary
      Re-engineering Approach
    10. Big Bang Approach
    11. Incremental Approach
    12. Evolutionary Approach
    13. Re-engineering Risks
      Tool
      Process
      Risk Area
      Application
      Technology
      Strategy
      Personnel
    14. Technology risks
      Recovered information is not useful or used
      Reverse engineering to representations that cannot be shared
      Reengineering technology inadequate to accomplish reengineering goals
      Tool risks
      Dependence on tools that do not perform as advertised
      Not using installed tools
      Re-engineering Risks
    15. Strategy risks
      Premature commitment to a reengineering solution for an entire system
      Failure to have a long-term vision with interim goals
      Lack of global view: code, data, process reengineering
      No plan for using reengineering tools
      Application risks
      Reengineering with no local application experts available
      Existing business knowledge embedded in source code is lost
      Reengineered system does not perform adequately
      Re-engineering Risks
    16. Process risks
      Extremely high manual reengineering costs
      Cost benefits not realized in required time frame
      Cannot economically justify the reengineering effort
      Reengineering effort drifts
      Lack of management commitment to ongoing reengineering solution
      Personnel risks
      Programmers inhibiting the start of reengineering
      Programmers performing less effectively to make an unpopular reengineering project look less effective
      Re-engineering Risks
    17. Software Re-engineering is reorganising and modifying existing software systems to make them more maintainable.
      Its purpose is to improve the current system.
      occurs at two different levels of abstraction
      Business level
      Software level
      Re-engineering approaches
      Big Bang
      Incremental
      Evolutionary
      Risks
      Summary
    18. Roger S. Pressman, “Software Engineering: A Practitioner’s Approach, 5thedition”.
      Ian Sommerville, “Software Engineering, 6th edition”, 2000.
      lindaRosenberg, “Software Re-Engineering”.
      A. Sonhaji,MegahMulya, Mubassiran, Nasruddin, Ari Yanuar, “RekayasaUlang (Reengineering)”
      Ira D. Baxter,Michael Mehlich, “Reverse Engineering is Reverse Forward Engineering”, 1997
      David Eichman, “Factors in Reuse and Reengineering of Legacy Software”. Repository Based Software Engineering Program Research Institute for Computing and Information Systems University of Houston – Clear Lake, 1997
      References
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