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An Approach to Measure Java Code Quality in Reuse Environment

An Approach to Measure Java Code Quality in Reuse Environment. Aline Timóteo Advisor: Silvio Meira Co-advisor: Eduardo Almeida UFPE – Federal University of Pernambuco alt@cin.ufpe.br. An Approach to Measure Java Code Quality in a Reuse Environment. Summary. Motivation

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An Approach to Measure Java Code Quality in Reuse Environment

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  1. An Approach to Measure Java Code Quality in Reuse Environment AlineTimóteo Advisor: SilvioMeira Co-advisor: Eduardo Almeida UFPE – Federal University of Pernambuco alt@cin.ufpe.br http://www.rise.com.br

  2. An Approach to Measure Java Code Quality in a Reuse Environment Summary • Motivation • An Approach to Measure Java Code Quality • Main Contributions • Status http://www.rise.com.br

  3. Motivation http://www.rise.com.br

  4. An Approach to Measure Java Code Quality in a Reuse Environment Motivation • Reuse is a competitive advantage • Quality • Coust http://www.rise.com.br

  5. An Approach to Measure Java Code Quality in a Reuse Environment Problem • Component Repository promote reuse success [Griss, 1994] • Artifacts quality must be assured by the organization that maintains a repository? [Seacord, 1999] • Many version of a component on the repository • Lack of context How to minimize low-quality artifacts reuse? http://www.rise.com.br

  6. An Approach to Measure Java Code Quality http://www.rise.com.br

  7. An Approach to Measure Java Code Quality in a Reuse Environment An Approach to Measure Java Code Quality • Quality • Metrics Selection • Quality Attributes measurement http://www.rise.com.br

  8. An Approach to Measure Java Code Quality in a Reuse Environment Quality in a Reuse Environment [Etzkorn, 2001] • ISO 9126 http://www.rise.com.br

  9. An Approach to Measure Java Code Quality in a Reuse Environment Quality Attributes x Metrics http://www.rise.com.br

  10. An Approach to Measure Java Code Quality in a Reuse Environment Metrics Selection • Applicable for Java • Empirical Validation • Theoretical Validation • Acceptance http://www.rise.com.br

  11. An Approach to Measure Java Code Quality in a Reuse Environment Metrics Selection • McCabe Metric [McCabe, 1976] • Theoretical Validation, according to graphs theory • Independence of technology • Empirical Validation • Acceptance [Refactorit, 2001; Metrics, 2005; JHawk, 2007] http://www.rise.com.br

  12. An Approach to Measure Java Code Quality in a Reuse Environment Metrics Selection • CK Metrics [Chidamber, 1994], • Theoretical Validation, • Developed in a OO context • Empirical Validation [Briand, 1994; Chidamber, 1998; Tang, 1999]. • Acceptance [Refactorit, 2001; Metrics, 2005; JHawk, 2007] http://www.rise.com.br

  13. An Approach to Measure Java Code Quality in a Reuse Environment Metrics Specification http://www.rise.com.br

  14. An Approach to Measure Java Code Quality in a Reuse Environment Quality Attributes Measurement (QAM) • QAM = (the number of metrics that have a allowable value) • Heuristically • QAM >= Number of metrics /2 • Example: • 2,5 <= QAM <= 5 Max Testability = 5 Min Testability = 2,5 http://www.rise.com.br

  15. An Approach to Measure Java Code Quality in a Reuse Environment Automation http://www.rise.com.br

  16. An Approach to Measure Java Code Quality in a Reuse Environment Experiment Java Class Stored Class Recover class request Generate Class´s measurement Java Class with metrics metadata Good quality Class http://www.rise.com.br

  17. An Approach to Measure Java Code Quality in a Reuse Environment Experiment • Main Question • The retrieval component quality is better? • Compare B.A.R.T. search results • Results before introduce filter • Results after introduce filter • Apply questionnaire for customers http://www.rise.com.br

  18. An Approach to Measure Java Code Quality in a Reuse Environment Main Contributions • Introduce quality analysis in a repository • Reduce code problem propagation • Highest Reliability • ... http://www.rise.com.br

  19. An Approach to Measure Java Code Quality in a Reuse Environment Current Stage http://www.rise.com.br

  20. An Approach to Measure Java Code Quality in a Reuse Environment Referências • [Frakes, 1994] W. B. Frakes and S. Isoda, "Success Factors of Systematic Software Reuse," IEEE Software, vol. 11, pp. 14--19, 1994. • [Griss, 1994] M. L. Griss, "Software Reuse Experience at Hewlett-Packard," presented at 16th International Conference on Software Engineering (ICSE), Sorrento, Italy, 1994. • [Garcia, 2006] V. C. Garcia, D. Lucrédio, F. A. Durão, E. C. R. Santos, E. S. Almeida, R. P. M. Fortes, and S. R. L. Meira, "From Specification to Experimentation: A Software Component Search Engine Architecture," presented at The 9th International Symposium on Component-Based Software Engineering (CBSE 2006), Mälardalen University, Västerås, Sweden, 2006. • [Etzkorn, 2001] Letha H. Etzkorn, William E. Hughes Jr., Carl G. Davis: Automated reusability quality analysis of OO legacy software. Information & Software Technology 43(5): 295-308 (2001) • [Daskalantonakis, 1992] M. K. Daskalantonakis, “A Pratical View of Software Measurement and Implementation Experiences Within Motorola”, IEEE Transactions on Software Engineering, vol 18, 1992, pp. 998–1010. • [McCabe, 1976] T. J. McCabe, “A Complexity Measure”. IEEE Transactions of Software Engineering, vol SE-2, 1976, pp. 308-320. • [Chidamber, 1994] S. R. Chidamber, C. F. Kemerer, “A Metrics Suite for Object Oriented Design”, IEEE Transactions on Software Engineering, vol 20, Piscataway - USA, 1994, pp. 476-493. • [Lorenz, 1994] M. Lorenz, J. Kidd, “Object-Oriented Software Metrics: A Practical Guide”, Englewood Cliffs, New Jersey - USA, 1994. • [Brito, 1994] A. F. Brito, R. Carapuça, "Object-Oriented Software Engineering: Measuring and controlling the development process", 4th Interntional Conference on Software Quality, USA, 1994. • [Ince, 1988] D. C. Ince, M. J. Sheppard, "System design metrics: a review and perspective", Second IEE/BCS Conference, Liverpool - UK, 1988, pp. 23-27. • [Briand, 2002] L. C. Briand, S. Morasca, V. R. Basili, “An Operational Process for Goal-Driven Definition of Measures”, Software Engineering - IEEE Transactions, vol 28, 2002, pp. 1106-1125. • [Morasca, 1989] S. Morasca, L. C. Briand, V. R. Basili, E. J. Weyuker, M. V. Zelkowitz, B. Kitchenham, S. Lawrence Pfleeger, N. Fenton, "Towards a framework for software measurementvalidation", Software Engineering, IEEE Transactions, vol 23, 1995, pp. 187-189. • [Seacord, 1999] Robert C. Seacord. Software engineering component repositories. Technical report, Software Engineering Institute (SEI), 1999 http://www.rise.com.br

  21. An Approach to Measure Java Code Quality in a Reuse Environment • [Refactorit, 2001] Refactorit tool, online, last update: 01/2008, available: http://www.aqris.com/display/ap/RefactorIt • [Jdepend, 2005] JDepend tool, online, last update: 03/2006,available: http://www.clarkware.com/software/JDepend.html • [Metrics, 2005] Metrics Eclipse Plugin, online, last update: 07/2005, available: http://sourceforge.net/projects/metrics • [Jhawk, 2007] JHawk Eclipse Plugin, online, last update: 03/2007, available: http://www.virtualmachinery.com/jhawkprod.htm http://www.rise.com.br

  22. Aline Timóteo UFPE – Federal University of Pernambuco alt.timoteo@gmail.com http://www.rise.com.br

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