Software Project Managment
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The document discusses various software project metrics that can be used at different stages of development. It describes function-oriented metrics like function points which measure functionality delivered and are language independent. It also discusses object-oriented, use-case oriented and quality metrics like defects per KLOC and maintainability. Defect removal efficiency is introduced as a measure of quality assurance activities in filtering defects.
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![Computing function points (cont..) Following empirical relationship is used to compute Function Point (FP) FP=total count x [0.65+ 0.01 x Σ (F i ) ] F i (i=1 to 14 ) are VAF (Value adjustment factors) or simply ‘adjustment values’ based on answers to some questions (See list of Qs on PAGE 473 from book 6 th edition )](https://image.slidesharecdn.com/lecture6-110927011812-phpapp02/85/Software-Project-Managment-5-320.jpg)
![Software Quality Metrics Integrity System’s ability to withstand (accidental & intentional) attacks Two more attributes that help determine integrity threat = probability of attack within a given time (that causes failure) s ecurity = probability that an attack will be repelled Integrity = [1 – (threat * (1 – security))] Usability It quantifies ease of use and learning (time)](https://image.slidesharecdn.com/lecture6-110927011812-phpapp02/85/Software-Project-Managment-9-320.jpg)
Software Project Managment
- 1. SOFTWARE PROJECT MANAGEMENT Lecture # 06 Meer Qaisar Javed [email_address]
- 2. Function-oriented Metrics These use a measure of the functionality delivered by application as a normalization value. Most widely used function-oriented metric is function point (FP) FP’s computation – based on characteristics of software information domain and complexity. (For details See 15.3.1, page 472)
- 3. Function points are a measure of the size of computer applications and the projects that build them. The size is measured from a functional or user, point of view. It is independent of the computer language, development methodology, technology or capability of the project team used to develop the application
- 4. Function Point First proposed by Albrecht; can be used to measure functionality delivered by a system Like LOC, FP is also controversial Proponents claim It is prog. Language independent, hence ideal for conventional and non-procedural languages Based on data that can be known early phases of projects Opponents claim Computation is based on subjective rather than objective data counts of information domain may be difficult to collect FP is just a number and has no physical meaning
- 5. Computing function points (cont..) Following empirical relationship is used to compute Function Point (FP) FP=total count x [0.65+ 0.01 x Σ (F i ) ] F i (i=1 to 14 ) are VAF (Value adjustment factors) or simply ‘adjustment values’ based on answers to some questions (See list of Qs on PAGE 473 from book 6 th edition )
- 6. Object-oriented Metrics Used for object-oriented projects Set of metrics for OO projects: Number of scenario scripts Scenario scripts are detailed sequence of steps about user and application interaction Scenario scripts are directly correlated to application size and no. of test cases Number of key classes Key classes are independent components They Indicate amount of development effort and potential reuse Number of support classes These indicate amount of development effort and potential reuse Average number of support classes per key class Number of sub systems (aggregation of classes) If identified, it is easier to lay out the schedule
- 7. Use-case oriented Metrics Use-cases describe user visible functions and features They are defined early in software process and can be used as normalization measure before significant activities are initiated They are independent of programming language No. of use cases directly proportional to size of application in LOC & no. of test cases that will be designed There is no standard size of a use case as they are created at different levels of abstraction For this reason, it is a suspect as a normalization measure
- 8. Software Quality Metrics Measuring quality through Correctness It is degree to which software performs its required function Common measure= defects per KLOC For quality assessment defects are counted typically for 1 year Maintainability It is the ease with which a program can be corrected if an error is found Adapted if environment changes or Enhanced if customer desires Measured indirectly, e.g., Mean-time-to change (MTTC) Maintainable programs -> lower MTTC
- 9. Software Quality Metrics Integrity System’s ability to withstand (accidental & intentional) attacks Two more attributes that help determine integrity threat = probability of attack within a given time (that causes failure) s ecurity = probability that an attack will be repelled Integrity = [1 – (threat * (1 – security))] Usability It quantifies ease of use and learning (time)
- 10. Defect Removal Efficiency It is a measure of the filtering ability of the quality assurance and control activities as they are applied through out the process framework. DRE = E / (E + D) E = # of errors found before delivery D = # of defects found after delivery Ideal value of DRE is 1 Realistically D will be greater than 0 As E increases, DRE begins to approach 1
- 11. Redefining DRE DRE can also be applied on each process framework activity and hence find the team’s ability to assess errors before they are passed to next activity or software engineering task. DRE = E i / (E i + E i+1 ) E i = errors in activity i E i+1 = errors in activity i+1 that were not discovered in activity i
- 12. The End