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Metrics and models in software quality engineering / Stephen H. Kan ; [foreword by Capers Jones].

By: Kan, Stephen HMaterial type: TextTextPublication details: Boston : Addison-Wesley, c2003. Edition: 2nd edDescription: xxvii, 528 p. : ill. ; 24 cmISBN: 9780201729153 ; 0201729156Subject(s): 1. Computer software -- Quality controlDDC classification: 005.10685 KAN
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English Reference English Reference Villa College Library
Villa College Library
005.10685 KAN (Browse shelf(Opens below)) Available 8427
English Lending English Lending Villa College Library
Villa College Library
005.10685 KAN (Browse shelf(Opens below)) Available 8428
English Reference English Reference Villa College Hithadhoo Campus
Villa College Library
005.10685 KAN (Browse shelf(Opens below)) Available 8429
English Reference English Reference Villa College Ungoofaaru Learning Center
Villa College Library
005.10685 KAN (Browse shelf(Opens below)) Available 8430
English Reference English Reference Villa College Meedhoo Campus
Villa College Library
005.10685 KAN (Browse shelf(Opens below)) Available 8431
English Lending English Lending Villa College Library
Villa College Library
005.10685 KAN (Browse shelf(Opens below)) Available 8432
English Reference English Reference Villa College Naifaru Campus
Villa College Library
005.10685 KAN (Browse shelf(Opens below)) Available 8433
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Contents

1. What is software quality?
2. Software development process models
3. Fundamentals of measurement theory
4. Software quality metrics overview
5. Applying the seven basic quality tools in software development
6. Defect removal effectiveness
7. The Rayleigh Model
8. Exponential distribution and reliability growth models
9. Quality management models
10. In-process metrics for software testing
11.Complexity metrics and models
12. Metrics and lessons learned for object-oriented projects
13. Availability metrics
14. Measuring and analyzing customer satisfaction
15. Conducting in-process quality assessments
16. Conducting software project assessments
17. Dos and don'ts of software process improvement
18. Using function point metrics to measure software process improvement
19. Concluding remarks

Includes Index

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