Mining software history to improve software maintenance quality: A case study

IEEE Software

Volumn 26, Issue 1, 2009, Pages 34-40

  Tarvo, Alexander ^a  

^a MICROSOFT   (United States)

Author keywords

BCT; Binary Change Tracer; Data mining; Data models; History; Maintenance process; Microsoft; Predictive models; Process measurement; Risk management; Software; Software systems; Testing

Indexed keywords

CHEMICAL SENSORS; COMPUTER PROGRAMMING LANGUAGES; COMPUTER SOFTWARE; COMPUTER SOFTWARE MAINTENANCE; DATA MINING; DATA STRUCTURES; INFORMATION MANAGEMENT; MAINTENANCE; PREDICTIVE CONTROL SYSTEMS; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; SOFTWARE TESTING; WINDOWS; WINDOWS OPERATING SYSTEM;

BCT; BINARY CHANGE TRACER; DATA MODELS; MAINTENANCE PROCESS; MICROSOFT; PREDICTIVE MODELS; PROCESS MEASUREMENT; SOFTWARE; SOFTWARE SYSTEMS;

MATHEMATICAL MODELS;

EID: 58149512613     PISSN: 07407459     EISSN: None     Source Type: Journal    
DOI: 10.1109/MS.2009.15     Document Type: Article

References (12)

1. IEEE Std. 1219-1998, IEEE Std. for Software Maintenance, IEEE, 1998.
2. T. Menzies, J. Greenwald, and A. Frank, "Data Mining Static Code Attributes to Learn Defect Predictors," IEEE Trans. Software Eng. vol. 33, no. 1, 2007, pp. 2-13.
3. N. Nagappan, T. Ball, and A. Zeller, "Mining Metrics to Predict Component Failures," Proc. 28th Int'l Conf. Software Eng. (ICSE 06), IEEE CS Press, 2006, pp. 452-461.
4. N. Nagappan and T. Ball, "Use of Relative Code Churn Measures to Predict System Defect Density," Proc. 27th Int'l Conf. Software Eng. (ICSE 05), IEEE CS Press, 2005, pp. 284-292.
5. A. Mockus and D. Weiss, "Predicting Risk of Software Changes," Bell Labs Tech J., vol. 5, no. 2, 2000, pp. 169-180.
6. J. Sliwerski, T. Zimmermann, and A. Zeller, "When Do Changes Induce Fixes?" Proc. 2nd Int'l Workshop Mining Software Repositories, ACM Press, 2005, pp. 24-28.
7. M. Fischer, M. Pinzger, and H. Gall, "Populating a Release History Database from Version Control and Bug Tracking Systems," Proc. Int'l Conf. Software Maintenance (ICSM 03), IEEE CS Press, 2003, pp. 23-32.
8. D. Ubrani and G.C. Murphy, "Hipikat: Recommending Pertinent Software Development Artifacts," Proc. 25th Int'l Conf. Software Eng. (ICSE 03), IEEE CS Press, 2003, pp. 408-418.
9. A. Srivastava, J. Thiagarajan, and C. Schertz, Efficient Integration Testing Using Dependency Analysis, tech. report MSR-TR-2005-94, Microsoft Research, 2005.
10. D.T. Larose, Data Mining Methods and Models, Wiley-Interscience, 2006, p. 322.
11. D. Hand, P. Smyth, and H. Mannila, Principles of Data Mining, MIT Press, 2001, p. 546.
12. S. McConnell, "Daily Build and Smoke Test," IEEE Software, vol. 13, no. 4, 1996, pp. 143-144.