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MNP1163 (Software Construction).  SDLC and Construction Models  Construction Planning  Construction Measurement.

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Presentation on theme: "MNP1163 (Software Construction).  SDLC and Construction Models  Construction Planning  Construction Measurement."— Presentation transcript:

1 MNP1163 (Software Construction)

2  SDLC and Construction Models  Construction Planning  Construction Measurement

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5 Need, wish, policy, law User Requirements Systems Requirements Global Design Detail Design Implementation Component Test Execution Integration Test Execution System Test Execution Acceptance Test Execution Operational systems Preparation Acceptance Test Preparation Systems Test Preparation Integration Test

6 Phase 1 Define Develop Build Test Implement Phase 2 Define Develop Build Test Implement Phase 3 Define Develop Build Test Implement

7  What is Construction Planning?  Laying out the work plan (i.e. schedule) to design, implement, debug, and unit test the software

8  Construction planning major concerns:  Coders are typically not planners  Schedules will be difficult to maintain unless a good architecture design is in place  Many organizations to not collect project data on which to plan future projects  Many managers consider planning to be a waste of time and therefore don’t encourage it  Project plans may be limited to the construction plans  Many organizations and projects do not use systematic cost estimating methods such as models

9  Consider reducing development costs by planning to:  Reduce the size and/or complexity  Improve the development process  Use more highly skilled people and build better teams  Use better tools  Reduce quality thresholds

10  Some actions include  Use an object-oriented approach  Use COTS components  Use an iterative approach  Provide training to development team  Automate tedious tasks with tools

11  As with building construction, much of the success or failure of the project already determined before construction begins  Upstream activities such as project planning, requirements, architecture, and design are crucial to success  Typical high-risk areas  Project planning  Requirements  Architecture  Preparation is a way to reduce these risks

12  The problem being solved via the application must be well defined  Common names for the document containing the problem statement:  Product Vision  Vision Statement  Product Definition  Defines the problem without reference to potential solutions  Helps avoid solving the wrong problem!

13  Requirements describe in detail what a system is supposed to do, therefore are invaluable for construction  Explicit requirements:  Help ensure the user drives system functionality ▪ Rather than the programmer  Reduce the number of construction debates  Help minimize changes after development begins  Specifying requirements adequately is a key to project success

14  Quality of the architecture determines the conceptual integrity of the system  A proper architecture:  Gives structure to maintain conceptual integrity  Provides guidance to programmers  Partitions work  Architecture-level problems are much more costly to fix than are coding errors  Good architecture can make construction easy  Bad architecture makes construction difficult

15  Time budgeted for requirements and architecture work  10 to 20 percent of manpower  20 to 30 percent of schedule  If requirements are unstable  Do not ignore, spend time to fix  The analyst should fix if a formal project  Can be fixed by the programmer for informal projects  Use same heuristics for problems with the architecture

16  Many software development approaches have been tried over the years  Some examples:  Functional  Object-Oriented  Iterative  Waterfall  Agile  Data-centric  The construction team must follow some approach  Chosen approach must be appropriate for the task at hand

17  Programming language choices affect  Productivity  Code quality  Programmers more productive using a familiar language  High-level languages provided higher quality and better productivity  Some languages better at expressing programming concepts than others  The ways in which a programmers express themselves are affected by the chosen language

18  Questions to answer regarding practices:  How detailed will the design be?  What are the coding conventions for names, comments, layout, etc.?  How will the architecture be enforced?  Is the project’s use of technology ahead of or behind the power curve, and is this appropriate given the circumstances?  What is the integration procedure, how often is it done, and who participates?  Will developers program individually, in pairs, or some combination of this?  Where and when will builds occur?

19 Modern programming tools  Are essential to maintain programmer productivity  Reduce tedious and redundant tasks  Must be appropriate for the task at hand Tools preparation checklist:  Are all product licenses current?  Are all products at current, supported revision level?  Have all programmers received proper training on the tools?  Does the project have a configuration management tool?  Does the project have a tool to track change requests?  Do project team members have sufficient workstations?  Does the project have sufficient test environments?  Does the project have sufficient build environments?

20  For small development efforts  Self managed  Everyone is a peer  For mid-size development efforts  Single team  For large development efforts  Multiple teams

21  [IE04] IEEE Computer Society, Guide to the Software Engineering Body of Knowledge (SWEBOK), IEEE Computer Society Press, Los Alamitos, CA 20001, June 2004  [RS04] IBM Rational Software, The Rational Unified Process v2003.06.13, 2004  [RT03]  [SM04] S. McConnell, Code Complete: A Practical Handbook of Software Construction, Second Edition, Microsoft Press, 2004.  [WR01] Walker Royce, Software Project Management, A Unified Framework, Addison-Wesley, Boston, MA, 2001


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