Predicting eclipse bug lifetimes

Proceedings - ICSE 2007 Workshops: Fourth International Workshop on Mining Software Repositories, MSR 2007

Volumn , Issue , 2007, Pages

  Panjer, Lucas D ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; INFORMATION USE; PROBLEM SOLVING; PROJECT MANAGEMENT; RESOURCE ALLOCATION; SOFTWARE ENGINEERING;

BUG LIFETIMES; DATA MINING TOOLS; PROJECT PLANNING; SOFTWARE DEVELOPMENT PROJECTS;

PROGRAM DEBUGGING;

EID: 34548749250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MSR.2007.25     Document Type: Conference Paper

References (6)

1. Bugzilla Documentation - Life Cycle of a Bug. Available online at http://www.bugzilla.org/docs/tip/html/lifecycle.html.
2. Weka 3 - Machine Learning Software in Java. Available online at http://www.cs.waikato.ac.nz/ml/weka/index.html.
3. A. Chou, J. Yang, B. Chelf, S. Hallem, and D. Engler. An empirical study of operating systems errors. ACM SIGOPS Operating Systems Review, 35(5):73-88, 2001.
4. S. Kim and J. E. James Whitehead. How long did it take to fix bugs? In MSR '06: Proceedings of the 2006 international workshop on Mining software repositories, pages 173-174, New York, NY, USA, 2006. ACM Press.
5. J. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993.
6. I. Rish. An empirical study of the naive Bayes classifier. Proceedings of IJCAI-01 Workshop on Empirical Methods in Artificial Intelligence, 335, 2001.