The vital few versus the trivial many: Examining the Pareto principle for software

Proceedings - International Computer Software and Applications Conference

Volumn 1, Issue , 2005, Pages 179-185

  Gittens, Mechelle ^a   Kim, Yong ^a   Godwin, David ^a  

^a IBM   (United States)

Author keywords

Defects; Empirical study; Pareto principle

Indexed keywords

EMPIRICAL STUDY; PRODUCTION-LEVEL SOFTWARE; SOFTWARE DEFECTS;

CODES (SYMBOLS); COMPUTATIONAL COMPLEXITY; PARETO PRINCIPLE;

SOFTWARE ENGINEERING;

EID: 34248593242     PISSN: 07303157     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMPSAC.2005.153     Document Type: Conference Paper

References (19)

1. V. Pareto. Manual of Political Economy (1906).
2. J. Juran. Quality Control handbook (1951). McGraw-Hill New York
3. B. Boehm, V. Basili, Software Defect Reduction Top 10 List. Software Management, January 2001.
4. T. Ostrand, E.Weyuker. The Distribution of Faults in a Large Industrial Software System. Proceedings of the International Symposium on Software Testing and Analysis, 2002.
5. L. Briand and Y. Labiche. Empirical studies of software testing techniques: challenges, practical strategies, and future research. ACM SIGSOFT SEN, 29(5). September 2004.
6. E. N. Adams. Optimizing preventive service of software products. IBM Journal of Research, 28(1), January 1984.
7. N. E. Fenton and N. Ohlsson. Quantitative analysis of faults and failures in a complex software system. IEEE Transactions on Software Engineering, 26(8), August 2000.
8. T. Ostrand, E.Weyuker, R. Bell. Where the Bugs Are. Proceedings of the International Symposium on Software Testing and Analysis, 2004.
9. M. Gittens, H. Lufiyya, M. Bauer, D. Godwin, Y. Kim, P. Gupta, "An Empirical Evaluation of System and Regression Testing", Proceedings of the 12th Annual IBM Centers for Advanced Studies Conference, 2002.
10. M. K. Daskalantonakis. A practical view of software measurement and implementation experiences within Motorola. IEEE Transactions on Software Engineering, 18(11), November 1992.
11. T. M. Khoshgoftaar, E.B. Allen, K.S. Kalaichelvan, and N. Goel. Early quality prediction: A case study in telecommunications. IEEE Software, 26(8), January 1996.
12. S. H. Kan. Metrics and models in software quality engineering. Addison-Wesley, Boston, 2003.
13. D. Perry, A. Porter, and L. Votta. Empirical studies of software engineering: a roadmap. In Proceedings of the 22nd Conference on Software Engineering, Limerick, Ireland, June 2000.
14. T. L. Graves, A. F. Karr, J. S. Marron, H. Siy. Predicting fault incidence using software change history. IEEE Transactions on Software Engineering, 26(8), August 2000.
15. J. Troster. Assessing design-quality metrics on legacy software. Proceedings of the 2nd Annual IBM Centers for Advanced Studies Conference, 1992.
16. M. B. O'Neal. An empirical study of three common software complexity measures. Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice. March 1993.
17. Marek Leszak, Dewayne Perry, Dieter Stoll. A case study in root cause defect analysis. Proceedings of the 22nd international conference on Software engineering. June 2000.
18. B. Boehm. Software Engineering Economics. Englewood, NJ Prentice-Hall (1981).
19. M. S. Gittens, J. M. Bennett, D. Ho. Empirical Defect Modeling to Extend the Constructive Cost Model. The Proceedings of the Eighth European Software Control and Metrics Conference (ESCOM). May 1997