Practical duplicate bug reports detection in a large web-based development community

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7808 LNCS, Issue , 2013, Pages 709-720

  Feng, Liang ^a   Song, Leyi ^a   Sha, Chaofeng ^b   Gong, Xueqing ^a  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b FUDAN UNIVERSITY   (China)

Author keywords

Bug Report; Classification; Duplicate Detection

Indexed keywords

BUG REPORTS; BUG TRACKING SYSTEM; DETECTION PERFORMANCE; DEVELOPMENT COMMUNITY; DUPLICATE BUG REPORTS; DUPLICATE DETECTION; POTENTIAL CONFLICT; WASTE OF RESOURCES;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION);

WEBSITES;

EID: 84875826407     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37401-2_69     Document Type: Conference Paper

References (14)

1. Bettenburg, N., Premraj, R., Zimmermann, T., Kim, S.: Duplicate bug reports considered harmful... really? In: ICSM, pp. 337-345 (2008)
2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. Journal of Machine Learning Research 3, 993-1022 (2003)
3. Cavalcanti, Y.C., de Almeida, E.S., da Cunha, C.E.A., Lucrédio, D., de Lemos Meira, S.R.: An initial study on the bug report duplication problem. In: CSMR, pp. 264-267 (2010)
4. Griffiths, T.: Gibbs sampling in the generative model of latent dirichlet allocation. Unpublished note (2002), http://citeseerx.ist.psu.edu/viewdoc/ summary
5. Jalbert, N., Weimer, W.: Automated duplicate detection for bug tracking systems. In: DSN, pp. 52-61 (2008)
6. Kaushik, N., Tahvildari, L.: A comparative study of the performance of ir models on duplicate bug detection. In: CSMR, pp. 159-168 (2012)
7. Nguyen, A.T., Nguyen, T.T., Nguyen, T.N., Lo, D., Sun, C.: Duplicate bug report detection with a combination of information retrieval and topic modeling. In: ASE, pp. 70-79 (2012)
8. Runeson, P., Alexandersson, M., Nyholm, O.: Detection of duplicate defect reports using natural language processing. In: ICSE, pp. 499-510 (2007)
9. Steyvers, M., Griffiths, T.: Probabilistic topic models. Handbook of Latent Semantic Analysis 427(7), 424-440 (2007)
10. Sun, C., Lo, D., Khoo, S.-C., Jiang, J.: Towards more accurate retrieval of duplicate bug reports. In: ASE, pp. 253-262 (2011)
11. Sun, C., Lo, D., Wang, X., Jiang, J., Khoo, S.-C.: A discriminative model approach for accurate duplicate bug report retrieval. In: ICSE (1), pp. 45-54 (2010)
12. Tian, Y., Sun, C., Lo, D.: Improved duplicate bug report identification. In: CSMR, pp. 385-390 (2012)
13. Wang, X., Zhang, L., Xie, T., Anvik, J., Sun, J.: An approach to detecting duplicate bug reports using natural language and execution information. In: ICSE, pp. 461-470 (2008)
14. Wei, X., Croft, W.B.: Lda-based document models for ad-hoc retrieval. In: SIGIR, pp. 178-185 (2006)