Don't touch my code! Examining the effects of ownership on software quality

SIGSOFT/FSE 2011 - Proceedings of the 19th ACM SIGSOFT Symposium on Foundations of Software Engineering

Volumn , Issue , 2011, Pages 4-14

  Bird, Christian ^a   Nagappan, Nachiappan ^a   Murphy, Brendan ^a   Gall, Harald ^b   Devanbu, Premkumar ^c  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Empirical software engineering; Expertise; Ownership; Quality

Indexed keywords

CODE INSPECTIONS; DEFECT PREDICTION; EMPIRICAL SOFTWARE ENGINEERING; EXPERTISE; OWNERSHIP; SOFTWARE FAILURE; SOFTWARE PROJECT; SOFTWARE QUALITY; SOURCE CODE CHANGES; WINDOWS VISTA;

COMPUTER SOFTWARE SELECTION AND EVALUATION; IMAGE QUALITY;

SOFTWARE DESIGN;

EID: 80053180611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2025113.2025119     Document Type: Conference Paper

References (35)

1. R. Banker, G. Davis, and S. Slaughter. Software development practices, software complexity, and software maintenance performance: A field study. Management Science, 44(4):433-450, 1998. (Pubitemid 128591673)
2. V. Basili and G. Caldiera. Improve Soft-ware Quality by Reusing Knowledge and Experience. Sloan Management Review, 37:55-55, 1995.
3. V. Basili, G. Caldiera, and H. Rombach. The Goal Question Metric Approach. Encyclopedia of Software Engineering, 1:528-532, 1994.
4. K. Beck and C. Andres. Extreme Programming Explained: Embrace Change. Addison-Wesley Reading, MA, 2005.
5. C. Bird, N. Nagappan, P. Devanbu, H. Gall, and B. Murphy. Does distributed development affect software quality? an empirical case study of windows vista. In Proc. of the International Conference on Software Engineering, 2009.
6. C. Bird, N. Nagappan, P. Devanbu, H. Gall, and B. Murphy. Putting it All Together: UsingSocio-Technical Networks to Predict Failures. In Proceedings of the 17th International Symposium on Software Reliability Engineering. IEEE Computer Society, 2009.
7. W. Boh, S. Slaughter, and J. Espinosa. Learning from experience in software development: A multilevel analysis. Management Science, 53(8):1315-1331, 2007. (Pubitemid 351159607)
8. F. Brooks. The Mythical Man-Month: Essays on Software Engineering, 20th Anniversary Edition. Addison-Wesley, 1995.
9. M. Cataldo, P. Wagstrom, J. Herbsleb, and K. Carley. Identification of coordination requirements: implications for the Design of collaboration and awareness tools. Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, pages 353-362, 2006. (Pubitemid 47112424)
10. B. Curtis, H. Krasner, and N. Iscoe. A field study of the software design process for large systems. Communication of the ACM, 31(11):1268-1287, 1988.
11. E. Darr, L. Argote, and D. Epple. The acquisition, transfer, and depreciation of knowledge in service organizations: Productivity in franchises. Management Science, 41(11):1750-1762, 1995.
12. S. Dowdy, S. Wearden, and D. Chilko. Statistics for research. John Wiley & Sons, third edition, 2004.
13. K. El Emam, S. Benlarbi, N. Goel, and S. N. Rai. The confounding efiect of class size on the validity of object-oriented metrics. IEEE Transactions of Software Engineering, 27(7):630-650, 2001. (Pubitemid 32676815)
14. S. Elbaum and J. Munson. Code churn: A measure for estimating the impact of code change. In Proceedings of the International Conference on Software Maintenance, 1998.
15. T. Fritz, G. Murphy, and E. Hill. Does a programmer's activity indicate knowledge of code? In Proc. of the ACM SIGSOFT symposium on The foundations of software engineering, page 350. ACM, 2007.
16. R. Kraut and L. Streeter. Coordination in software development. Communications of the ACM, 38(3):69-81, 1995.
17. F. W. Lancaster. Information Retrieval Systems: Characteristics, Testing, and Evaluation. Wiley, 2nd edition, 1979.
18. D. W. McDonald and M. S. Ackerman. Expertise recommender: a exible recommendation system and architecture. In Proc. of the ACM conference on Computer supported cooperative work, 2000.
19. A. Meneely and L. A. Williams. Secure open source collaboration: an empirical study of linus'law. In Proceedings of the ACM Conference on Computer and Communications Security, 2009.
20. R. Milo, N. Kashtan, S. Itzkovitz, M. E. J. Newman, and U. Alon. On the uniform generation of random graphs with prescribed degree sequences. Arxiv preprint cond-mat/0312028, 2003.
21. A. Mockus. Succession: Measuring transfer of code and developer productivity. In Proceedings of the 31st International Conference on Software Engineering, 2009.
22. A. Mockus and J. D. Herbsleb. Expertise browser: a quantitative approach to identifying expertise. In Proc. of the 24th International Conference on Software Engineering, 2002.
23. A. Mockus and D. Weiss. Predicting risk of software changes. Bell Labs Technical Journal, 5(2):169-180, 2000.
24. M. Molloy and B. Reed. A critical point for random graphs with a given degree sequence. Random Struct. Algorithms, 6(2-3):161-179, 1995.
25. N. Nagappan and T. Ball. Use of relative code churn measures to predict system defect density. Proceedings of the 27th International Conference on Software Engineering, pages 284-292, May 2005.
26. N. Nagappan, B. Murphy, and V. Basili. The inuence of organizational structure on software quality: an empirical case study. In Proc. of the 30th international conference on Software engineering, 2008.
27. M. E. J. Newman, S. H. Strogatz, and D. J. Watts. Random graphs with arbitrary degree distributions and their applications. Phys. Rev. E, 64(2):026118, Jul 2001.
28. T. Ostrand, E. Weyuker, and R. Bell. Where the bugs are. In Proceedings of the ACM SIGSOFT international symposium on Software testing and analysis, 2004.
29. M. Pinzger, N. Nagappan, and B. Murphy. Can developer-module networks predict failures? In Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering, 2008.
30. F. Rahman and P. Devanbu. Ownership, Experience and Defects: a fine-grained study of Authorship. In Proceedings ICSE 2011, To appear, 2011.
31. P. Robillard. The role of knowledge in software development. Communications of the ACM, 42(1):92, 1999.
32. M. Sacks. On-the-Job Learning in the Software Industry. Corporate Culture and the Acquisition of Knowledge. Quorum Books, 88 Post Road West, Westport, CT 06881., 1994.
33. A. Srivastava, J. Thiagarajan, and C. Schertz. Effcient Integration Testing using Dependency Analysis. Technical Report MSR-TR-2005-94, Microsoft Research, 2005.
34. S. Wasserman and K. Faust. Social network analysis: Methods and applications. Cambridge University Press, 1994.
35. E. J. Weyuker, T. J. Ostrand, and R. M. Bell. Do too many cooks spoil the broth? using the number of developers to enhance defect prediction models. Empirical Softw. Engg., 13(5):539-559, 2008.