Software analytics in practice

IEEE Software

Volumn 30, Issue 5, 2013, Pages 30-37

  Zhang, Dongmei ^a   Han, Shi ^a   Dang, Yingnong ^a   Lou, Jian Guang ^a   Zhang, Haidong ^a   Xie, Tao ^b  

^a MICROSOFT RESEARCH ASIA   (China)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

actionable information; data exploration; insightful information; mining software repositories; software analytics; software artifacts; software engineering; StackMine; technology transfer

Indexed keywords

ACTIONABLE INFORMATION; DATA EXPLORATION; INSIGHTFUL INFORMATION; MINING SOFTWARE REPOSITORIES; SOFTWARE ARTIFACTS; STACKMINE;

SOFTWARE ENGINEERING; TECHNOLOGY TRANSFER;

SOFTWARE DESIGN;

EID: 84884200048     PISSN: 07407459     EISSN: None     Source Type: Journal    
DOI: 10.1109/MS.2013.94     Document Type: Article

References (13)

1. J. Czerwonka et al., "CRANE: Failure Prediction, Change Analysis and Test Prioritization in Practice-Experiences from Windows," Proc. IEEE 4th Int'l Conf. Software Testing, Verification and Validation (ICST 11), IEEE CS, 2011, pp. 357-366.
2. E. Shihab et al., "An Industrial Study on the Risk of Software Changes," Proc. ACM SIGSOFT 20th Int'l Symp. Foundations Software Eng. (FSE 12), ACM, 2012, article 62.
3. K. Glerum et al., "Debugging in the (Very) Large: Ten Years of Implementation and Experience," Proc. ACM SIGOPS 22nd Symp. Operating Systems Principles (SOSP 09), ACM, 2009, pp. 103-116.
4. T. Gorschek et al., "A Model for Technology Transfer in Practice," IEEE Software, vol. 23, no. 6, 2006, pp. 88-95. (Pubitemid 44824162)
5. A. Sandberg, L. Pareto, and T. Arts, "Agile Collaborative Research: Action Principles for Industry-Academia Collaboration," IEEE Software, vol. 28, no. 4, 2011, pp. 74-83.
6. C. Wohlin et al., "The Success Factors Powering Industry-Academia Collaboration," IEEE Software, vol. 29, no. 2, 2012, pp. 67-73.
7. S. Han et al., "Performance Debugging in the Large via Mining Millions of Stack Traces," Proc. Int'l Conf. Software Eng. (ICSE 12), IEEE, 2012, pp. 145-155.
8. Y. Dang et al., "XIAO: Tuning Code Clones at Hands of Engineers in Practice," Proc. 28th Ann. Computer Security Applications Conf. (ACSAC 12), ACM, 2012, pp. 369-378.
9. R. Ding et al., "Healing Online Service Systems via Mining Historical Issue Repositories," Proc. 27th IEEE/ACM Int'l Conf. Automated Software Eng. (ASE 12), ACM, 2012, pp. 318-321.
10. Q. Fu et al., "Performance Issue Diagnosis for Online Service Systems," Proc. 31st IEEE Symp. Reliable Distributed Systems (SRDS 12), IEEE CS, 2012, pp. 273-278.
11. D. Zhang et al., "Software Analytics as a Learning Case in Practice: Approaches and Experiences," Proc. Int'l Workshop Machine Learning Technologies in Software Eng. (MALETS 11), ACM, 2011, pp. 55-58.
12. D. Zhang and T. Xie, "Software Analytics in Practice: Mini Tutorial," Proc. Int'l Conf. Software Eng. (ICSE 12), IEEE, 2012, p. 997.
13. J.-G. Lou et al., "Software Analytics for Incident Management of Online Services: An Experience Report," to appear in Proc. Int'l Conf. Automated Software Eng. (ASE 13), IEEE, 2013.