Studying the impact of social structures on software quality

IEEE International Conference on Program Comprehension

Volumn , Issue , 2010, Pages 124-133

  Bettenburg, Nicolas ^a   Hassan, Ahmed E ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Human factors; Metrics measurement; Software evolution; Software quality assurance

Indexed keywords

COLLABORATIVE ACTIVITIES; DEFECT PREDICTION MODELS; DEVELOPMENT ACTIVITY; END-PRODUCTS; END-USERS; EXPLANATORY POWER; HUMAN FACTORS; ISSUE TRACKING; MATHEMATICAL RELATION; METRICS/MEASUREMENT; OPEN-SOURCE SOFTWARES; PREDICTOR VARIABLES; SIMILAR DEGREE; SOCIAL INFORMATION; SOCIAL STRUCTURE; SOFTWARE DEFECTS; SOFTWARE EVOLUTION; SOFTWARE QUALITY; SOFTWARE QUALITY ASSURANCE; SOURCE CODES; STATISTICAL MODELS; TESTING EFFORT; TRADITIONAL PRODUCTS; VERSION CONTROL;

COMPUTER PROGRAMMING; DEFECTS; HUMAN ENGINEERING; MATHEMATICAL MODELS; QUALITY ASSURANCE; QUALITY CONTROL; RESEARCH;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 77956166148     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPC.2010.46     Document Type: Conference Paper

References (34)

1. J. E. Alatis, Language, communication and social meaning. Georgetown University Press, 1993.
2. G. Antoniol, K. Ayari, M. Di Penta, F. Khomh, and Y.-G. Guéhéneuc, "Is it a bug or an enhancement?: a text-based approach to classify change requests," in CASCON '08: Proceedings of the 2008 Conference of the Center for Advanced Studies on Collaborative Research. ACM, 2008, pp. 304-318.
3. J. Anvik, L. Hiew, and G. C. Murphy, "Who should fix this bug?" in ICSE '06: Proceedings of the 28th International Conference on Software Engineering. ACM, 2006, pp. 361-370.
4. A. Bacchelli, M. D'Ambros, and M. Lanza, "Are popular classes more defect prone?" in To appear in FASE 2010: Proceedings of the 13th International Conference on Fundamental Approaches to Soft. Eng. Springer, 2010.
5. V. R. Basili, L. C. Briand, and W. L. Melo, "A validation of object-oriented design metrics as quality indicators," IEEE Transactions on Software Engineering, vol. 22, no. 10, pp. 751-761, 1996.
6. N. Bettenburg, S. Just, A. Schröter, C. Weiss, R. Premraj, and T. Zimmermann, "What makes a good bug report?" in SIG-SOFT '08/FSE-16: Proceedings of the 2008 ACM SIGSOFT Symposium on Foundations of Software Engineering. ACM, 2008, pp. 308-318.
7. N. Bettenburg, R. Premraj, T. Zimmermann, and S. Kim, "Extracting structural information from bug reports," in MSR '08: Proceedings of the 2008 International Working Conference on Mining Software Repositories. ACM, 2008, pp. 27-30.
8. C. Bird, A. Bachmann, E. Aune, J. Duffy, A. Bernstein, V. Filkov, and P. Devanbu, "Fair and balanced?: bias in bug-fix datasets," in ESEC/FSE '09: Proceedings of the 2009 ACM SIGSOFT Symposium on Foundations of Software Engineering. ACM, 2009, pp. 121-130.
9. M. J. Bland and D. G. Altman, "Transformations, means and confidence intervals." British Medical Journal, vol. 312, no. 7038, p. 1079, 1996.
10. M. Cataldo, A. Mockus, J. A. Roberts, and J. D. Herbsleb, "Software dependencies, work dependencies, and their impact on failures," IEEE Transactions on Software Engineering, vol. 35, no. 6, pp. 864-878, 2009.
11. C. D'Este, "Sharing meaning with machines," in Proceedings of the Fourth International Workshop on Epigenetic Robotics. Lund University Cognitive Studies, 2004, pp. 111-114.
12. A. W. F. Edwards, "The measure of association in a 2 by 2 table," Journal of the Royal Statistical Society. Series A (General), vol. 126, no. 1, pp. 109-114, 1963.
13. M. Fischer, M. Pinzger, and H. Gall, "Analyzing and relating bug report data for feature tracking," in WCRE '03: Proceedings of the 10th Working Conference on Reverse Engineering. IEEE Computer Society, 2003, p. 90.
14. M. Friendly, "Corrgrams: Exploratory displays for correlation matrices," The American Statistician, vol. 56, no. 1, pp. 316-324, November 2002.
15. P. J. Guo, T. Zimmermann, N. Nagappan, and B. Murphy, "Characterizing and predicting which bugs get fixed: An empirical study of microsoft windows," in To appear in Proceedings of the 32th International Conference on Software Engineering, 2010.
16. A. E. Hassan, "Predicting faults using the complexity of code changes," in ICSE '09: Proceedings of the 31st International Conference on Software Engineering. IEEE Computer Society, 2009, pp. 78-88.
17. M. H. Kutner, C. J. Nachtsheim, and J. Neter, Applied Linear Regression Models, fourth international ed. McGraw-Hill/Irwin, September 2004.
18. T. J. McCabe, "A complexity measure," in ICSE '76: Proceedings of the 2nd International Conference on Software Engineering. IEEE Computer Society Press, 1976, p. 407.
19. A. Mockus, N. Nagappan, and T. T. Dinh-Trong, "Test coverage and post-verification defects: A multiple case study," in ESEM '09: Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement. IEEE Computer Society, 2009, pp. 291-301.
20. A. Mockus, P. Zhang, and P. L. Li, "Predictors of customer perceived software quality," in ICSE '05: Proceedings of the 27th International Conference on Software Engineering. ACM, 2005, pp. 225-233.
21. J. C. Munson and S. G. Elbaum, "Code churn: A measure for estimating the impact of code change," in ICSM '98: Proceedings of the International Conference on Software Maintenance. IEEE Computer Society, 1998, p. 24.
22. N. Nagappan and T. Ball, "Use of relative code churn measures to predict system defect density," in ICSE '05: Proceedings of the 27th International Conference on Software Engineering. ACM, 2005, pp. 284-292.
23. -, "Using software dependencies and churn metrics to predict field failures: An empirical case study," in ESEM '07: Proceedings of the First International Symposium on Empirical Software Engineering and Measurement. IEEE Computer Society, 2007, pp. 364-373.
24. N. Ohlsson and H. Alberg, "Predicting fault-prone software modules in telephone switches," IEEE Trans. Softw. Eng., vol. 22, no. 12, pp. 886-894, 1996.
25. A. Schröter, T. Zimmermann, and A. Zeller, "Predicting component failures at design time," in ISESE '06: Proceedings of the 2006 ACM/IEEE International Symposium on Empirical Software Engineering. ACM, 2006, pp. 18-27.
26. C. E. Shannon, "A mathematical theory of communication," SIGMOBILE Mob. Comput. Commun. Rev., vol. 5, no. 1, pp. 3-55, 2001.
27. J. Śliwerski, T. Zimmermann, and A. Zeller, "When do changes induce fixes?" in MSR '05: Proceedings of the 2005 International Workshop on Mining Software Repositories. ACM, 2005, pp. 1-5.
28. D. Čubranić and G. C. Murphy, "Hipikat: recommending pertinent software development artifacts," in ICSE '03: Proceedings of the 25th International Conference on Software Engineering. IEEE Computer Society, 2003, pp. 408-418.
29. S. Wasserman and K. Faust, Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences), 1st ed. Cambridge University Press, 1994.
30. T. Wolf, A. Schröter, D. Damian, and T. Nguyen, "Predicting build failures using social network analysis on developer communication," in ICSE '09: Proceedings of the 31st International Conference on Software Engineering. IEEE Computer Society, 2009, pp. 1-11.
31. A. Zeller, Why Programs Fail, Second Edition: A Guide to Systematic Debugging. Morgan Kaufmann, 2009.
32. T. Zimmermann and N. Nagappan, "Predicting defects using network analysis on dependency graphs," in ICSE '08: Proceedings of the 30th international conference on Software engineering. ACM, 2008, pp. 531-540.
33. T. Zimmermann, N. Nagappan, H. Gall, E. Giger, and B. Murphy, "Cross-project defect prediction: a large scale experiment on data vs. domain vs. process," in ESEC/FSE '09: Proceedings of the 2009 ACM SIGSOFT Symposium on Foundations of Software Engineering. ACM, 2009, pp. 91-100.
34. T. Zimmermann, R. Premraj, and A. Zeller, "Predicting defects for eclipse," in Proceedings of the Third International Workshop on Predictor Models in Software Engineering, May 2007.