Identifying Linux bug fixing patches

Proceedings - International Conference on Software Engineering

Volumn , Issue , 2012, Pages 386-396

  Tian, Yuan ^a   Lawall, Julia ^b   Lo, David ^a  

^a SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BUG FIXES; BUG-FIXING; LINUX KERNEL; SECURE EXECUTION;

SOFTWARE ENGINEERING;

COMPUTER OPERATING SYSTEMS;

EID: 84864224043     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSE.2012.6227176     Document Type: Conference Paper

References (40)

1. G. Antoniol, K. Ayari, M. D. Penta, F. Khomh, and Y.-G. Guéhéneuc. Is it a bug or an enhancement?: a text-based approach to classify change requests. In CASCON, 2008.
2. J. Anvik, L. Hiew, and G. Murphy. Who should fix this bug? In ICSE, pages 361-370, 2006.
3. N. Bettenburg, S. Just, A. Schröter, C. Weiss, R. Premraj, and T. Zimmermann. What makes a good bug report? In SIGSOFT '08/FSE-16, pages 308-318, 2008.
4. C. Bird, A. Bachmann, E. Aune, J. Duffy, A. Bernstein, V. Filkov, and P. T. Devanbu. Fair and balanced?: bias in bug-fix datasets. In ESEC/SIGSOFT FSE, pages 121-130, 2009.
5. C. Bird, A. Bachmann, F. Rahman, and A. Bernstein. Linkster: enabling efficient manual inspection and annotation of mined data. In SIGSOFT FSE, pages 369-370, 2010.
6. Y.-W. Chang and C.-J. Lin. Feature ranking using linear svm. Journal of Machine Learning Research - Proceedings Track, 3:53-64, 2008.
7. O. Chapelle, B. Scholkopf, and A. Zien. Semi-Supervised Learning. MIT Press, 2006.
8. Y.-W. Chen and C.-J. Lin. Combining SVMs with various feature selection strategies. In I. Guyon, S. Gunn, M. Nikravesh, and L. Zadeh, editors, Feature extraction, foundations and applications. Springer, 2006.
9. C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20(3):273-297, 1995.
10. T. Cover and J. Thomas. Elements of Information Theory. Wiley-Interscience, 2006.
11. V. Dallmeier and T. Zimmermann. Extraction of bug localization benchmarks from history. In ASE, pages 433-436, 2007.
12. S. Gottipati, D. Lo, and J. Jiang. Finding relevant answers in software forums. In ASE, 2011.
13. N. Jalbert and W. Weimer. Automated duplicate detection for bug tracking systems. In proceedings of the International Conference on Dependable Systems and Networks, pages 52-61, 2008.
14. S. Kim, T. Zimmermann, E. J. Whitehead Jr., and A. Zeller. Predicting faults from cached history. In ICSE, pages 489-498, 2007.
15. J. L. Lawall, J. Brunel, R. R. Hansen, H. Stuart, G. Muller, and N. Palix. WYSIWIB: A declarative approach to finding protocols and bugs in Linux code. In DSN, pages 43-52, June 2009.
16. X. Li and B. Liu. Learning to classify text using positive and unlabeled data. In IJCAI, 2003.
17. S. Lukins, N. Karft, and E. Letha. Source code retrieval for bug localization using latent dirichlet allocation. In WCRE, 2008.
18. D. MacKenzie, P. Eggert, and R. Stallman. Comparing and Merging Files With Gnu Diff and Patch. Network Theory Ltd, Jan. 2003. Unified Format section, http://www.gnu.org/software/diffutils/manual/html-node/Unified-Format.html.
19. C. Manning, P. Raghavan, and M. Schutze. Introduction to Information Retrieval. Cambridge University Press, 2009.
20. A. Marcus, A. Sergeyev, V. Rajlich, and J. Maletic. An information retrieval approach to concept location in source code. In WCRE, pages 214-223, 2004.
21. A. Mockus and L. G. Votta. Identifying reasons for software changes using historic databases. In ICSM, pages 120-130, 2000.
22. T. T. Nguyen, H. A. Nguyen, N. H. Pham, J. M. Al-Kofahi, and T. N. Nguyen. Recurring bug fixes in object-oriented programs. In ICSE (1), pages 315-324, 2010.
23. Y. Padioleau, J. Lawall, R. R. Hansen, and G. Muller. Documenting and automating collateral evolutions in Linux device drivers. In EuroSys, pages 247-260, 2008.
24. Y. Padioleau, J. L. Lawall, and G. Muller. Understanding collateral evolution in Linux device drivers. In EuroSys, pages 59-71, 2006.
25. N. Palix, G. Thomas, S. Saha, C. Calvès, J. Lawall, and G. Muller. Faults in Linux: Ten years later. In ASPLOS, pages 305-318, 2011.
26. D. Port, A. P. Nikora, J. H. Hayes, and L. Huang. Text mining support for software requirements: Traceability assurance. In HICSS, pages 1-11, 2011.
27. S. Rao and A. Kak. Retrieval from software libraries for bug localization: a comparative study of generic and composite text models. In MSR, 2011.
28. P. Runeson, M. Alexandersson, and O. Nyholm. Detection of duplicate defect reports using natural language processing. In ICSE, pages 499-510, 2007.
29. J. Sliwerski, T. Zimmermann, and A. Zeller. When do changes induce fixes? In MSR, 2005.
30. K. Small, B. Wallace, C. Brodley, and T. Trikalinos. The constrained weight space svm:learning with ranked features. In ICML, 2011.
31. H. Sultanov, J. H. Hayes, and W.-K. Kong. Application of swarm techniques to requirements tracing. Requir. Eng., 16(3):209-226, 2011.
32. C. Sun, D. Lo, S.-C. Khoo, and J. Jiang. Towards more accurate retrieval of duplicate bug reports. In ASE, 2011.
33. C. Sun, D. Lo, X. Wang, J. Jiang, and S.-C. Khoo. A discriminative model approach for accurate duplicate bug report retrieval. In ICSE, pages 45-54, 2010.
34. A. Sureka and P. Jalote. Detecting duplicate bug report using character n-gram-based features. In APSEC, pages 366-374, 2010.
35. L. Tan, Y. Zhou, and Y. Padioleau. aComment: mining annotations from comments and code to detect interupt related concurrency bugs. In ICSE, pages 11-20, 2011.
36. X. Wang, D. Lo, J. Jiang, L. Zhang, and H. Mei. Extracting paraphrases of technical terms from noisy parallel software corpora. In Proc. of the 47th Annual Meeting of the Assoc. for Computational Linguistics (ACL), 2009.
37. X. Wang, L. Zhang, T. Xie, J. Anvik, and J. Sun. An approach to detecting duplicate bug reports using natural language and execution information. In ICSE, pages 461-470, 2008.
38. R. Wu, H. Zhang, S. Kim, and S.-C. Cheung. Relink: recovering links between bugs and changes. In SIGSOFT FSE, pages 15-25, 2011.
39. H. Zhong, L. Zhang, T. Xie, and H. Mei. Inferring resource specifications from natural language API documentation. In ASE, pages 307-318, 2009.
40. X. Zhu and A. Goldberg. Introduction to Semi-Supervised Learning. Morgan & Claypool Publishers, 2009.