Empirical software change impact analysis using singular value decomposition

Proceedings of the 1st International Conference on Software Testing, Verification and Validation, ICST 2008

Volumn , Issue , 2008, Pages 268-277

  Sherriff, Mark ^a   Williams, Laurie ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTERNATIONAL CONFERENCES; VERIFICATION AND VALIDATION;

CHLORINE COMPOUNDS; COMPUTER NETWORKS; COMPUTER SOFTWARE; OPEN SYSTEMS; SINGULAR VALUE DECOMPOSITION; SOFTWARE TESTING;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 50649125602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICST.2008.25     Document Type: Conference Paper

References (25)

1. Arnold, R. and Bohner, S., "Impact Analysis - Towards A Framework for Comparison," Proceedings of the Conference on Software Maintenance, Montreal, Canada, 1993, pp. 292-301.
2. Ball, T., Kim, J., Potter, A., and Siy, H., "If your version control system could talk," Proceedings of the Workshop on Process Modeling and Empirical Studies of Software Engineering, 1997.
3. Beyer, D. and Noack, A., "Clustering Software Artifacts Based on Frequent Common Changes," Proceedings of the 13th IEEE International Workshop on Program Comprehension, St. Louis, MO, May 15-16, 2005, pp. 259-268.
4. Breech, B., Tegtmeyer, M., and Pollock, L., "A Comparison of Online and Dynamic Impact Analysis Algorithms," Proceedings of the European Conference on Software Maintenance and Reengineering, Manchester, UK, March 21-23, 2005, pp. 143-152.
5. Canfora, G. and Cerulo, L., "Impact Analysis by Mining Software and Change Request Repositories," Proceedings of the International Symposium on Software Metrics, Coma, Italy, September 19-22, 2005, pp. 9-18.
6. Demmel, J., Applied Numerical Linear Algebra. Philadelphia: Society for Industrial and Applied Mathematics, 1997.
7. Gall, H., Jazayeri, M., and Krajewski, J., "CVS Release History Data for Detecting Logical Couplings," Proceedings of the Sixth International Workshop on Principles of Software Evolution, 2003.
8. Huang, L. and Song, Y.-T., "Dynamic Impact Analysis Using Execution Profile Tracing," Proceedings of the International Conference on Software Engineering Research, Management, and Applications, Aug 9-11, 2006, pp. 237-244.
9. Jalote, P., Software Project Management in Practice. New York: Addison Wesley Professional, 2002.
10. Law, J. and Rothermel, G., "Whole Program Path-Based Dynamic Impact Analysis," Proceedings of the International Conference on Software Engineering, Portland, OR, May 3-10, 2003, pp. 308-318.
11. Livshits, B. and Zimmermann, T., "DynaMine: Finding Common Error Patterns by Mining Software Revision Histories," Proceedings of the European Software Engineering Conference and Symposion on the Foundations on Software Engineering, Lisbon, Portugal, September 5-9, 2005.
12. Orso, A., Apiwattanapong, T., and Harrold, M. J., "Leveraging field data for impact analysis and regression testing," Proceedings of the Symposium on the Foundations of Software Engineering, Helsinki, Finland, September 1-5, 2003, pp. 128-137.
13. Orso, A., Apiwattanapong, T., Law, J., Rothermel, G., and Harrold, M. J., "An Empirical Comparison of Dynamic Impact Analysis Algorithms," Proceedings of the International Conference on Software Engineering, Scotland, 2004.
14. Osinski, S., Stefanowski, J., and Weiss, D., "Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition," Proceedings of the Advances in Soft Computing, Intelligent Information Processing and Web Mining, Zakopane, Poland, 2004, pp. 359-368.
15. Ostrand, T., Weyuker, E. J., and Bell, R., "Where the bugs are," Proceedings of the International Symposium on Software Testing and Analysis, Boston, MA, 2004, pp. 86-96.
16. Ren, X., Shah, F., Tip, F., Ryder, B., and Chesley, O., "Chianti: a tool for change impact analysis of Java programs," Proceedings of the Conference on Object-Oriented Programming, Systems, Languages, and Applications, Vancouver, Canada, October 2004, 2004, pp. 432-448.
17. Sherriff, M., Analyzing Software Artifacts Through Singular Value Decomposition to Guide Development Decisions, Diss, Department of Computer Science, North Carolina State University, 2007.
18. Sherriff, M., Heckman, S., Lake, M., and Williams, L., "Identifying Fault-Prone Files Using Static Analysis Alerts Through Singular Value Decomposition," Proceedings of the CASCON, Toronto, Canada, Oct 13-15, 2007, p. To appear.
19. Sherriff, M., Heckman, S., Lake, M., and Williams, L., "Using Groupings of Static Analysis Alerts to Identify Files Likely to Contain Field Failures," Proceedings of the Symposium on the Foundations of Software Engineering, Dubrovnik, Croatia, Sept 7-10, 2007, p. To appear.
20. Sherriff, M., Lake, M., and Williams, L., "Prioritization of Regression Tests using Singular Value Decomposition with Empirical Change Records," Proceedings of the International Symposium on Software Reliability Engineering, Trollhättan, Sweden, Nov 7-10, 2007, p. To appear.
21. Tip, F., "A survey of program slicing tecniques," Journal of Programming Languages, vol. 3, no. 1, pp. 121-189, 1995.
22. von Knethen, A. and Grund, M., "QuaTrace: A Tool Environment for (Semi-) Automatic Impact Analysis Based on Traces," Proceedings of the International Conference on Software Maintenance, September 22-26, 2003, pp. 246-255.
23. von Mayrehaurser, A., Wang, J., Ohlsson, M., and C., W., "Deriving a Fault Architecture from Defect History," Proceedings of the International Symposium on Software Reliability Engineering, Boca Raton, Florida, Nov, 1999, pp. 295-303.
24. Ying, A., Murphy, G., Ng, R., and Chu-Carroll, M., "Prediction Source Code Changes by Mining Change History," IEEE Transactions on Software Engineering, vol. 30, no. 9, pp. 574-586, September, 2004.
25. Zimmermann, T., Diehl, S., and Zeller, A., "Mining Version Histories to Guide Software Changes," IEEE Transactions on Software Engineering, vol. 31, no. 6, June, 2005.