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Volumn , Issue , 2010, Pages 52-56

Predicting the fix time of bugs

Author keywords

[No Author keywords available]

Indexed keywords

BUG REPORTS; CROSS VALIDATION; DECISION TREE ANALYSIS; EMPIRICAL STUDIES; MOZILLA; OPEN SOURCE PROJECTS; PREDICTION MODEL; RECOMMENDER SYSTEMS;

EID: 77954974536     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1808920.1808933     Document Type: Conference Paper
Times cited : (183)

References (12)
  • 6
    • 0000661829 scopus 로고
    • An exploratory technique for investigating large quantities of categorical data
    • G. V. Kass. An exploratory technique for investigating large quantities of categorical data. Journal of Applied Statistics, 29(2):119-127, 1980.
    • (1980) Journal of Applied Statistics , vol.29 , Issue.2 , pp. 119-127
    • Kass, G.V.1
  • 8
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • Morgan Kaufmann
    • R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proc. of the Int'l Joint Conf. on Artificial Intelligence, pages 1137-1143. Morgan Kaufmann, 1995.
    • (1995) Proc. of the Int'l Joint Conf. on Artificial Intelligence , pp. 1137-1143
    • Kohavi, R.1
  • 9
    • 49349089233 scopus 로고    scopus 로고
    • Benchmarking classification models for software defect prediction: A proposed framework and novel findings
    • S. Lessmann, B. Baesens, C. Mues, and S. Pietsch. Benchmarking classification models for software defect prediction: A proposed framework and novel findings. IEEE Trans. on Softw. Eng., 34(4):485-496, 2008.
    • (2008) IEEE Trans. on Softw. Eng. , vol.34 , Issue.4 , pp. 485-496
    • Lessmann, S.1    Baesens, B.2    Mues, C.3    Pietsch, S.4
  • 11
    • 57349172049 scopus 로고    scopus 로고
    • An approach to detecting duplicate bug reports using natural language and execution information
    • New York, NY, USA, ACM
    • 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 Proc. of the Int'l Conf. on Softw. Eng., pages 461-470, New York, NY, USA, 2008. ACM.
    • (2008) Proc. of the Int'l Conf. on Softw. Eng. , pp. 461-470
    • Wang, X.1    Zhang, L.2    Xie, T.3    Anvik, J.4    Sun, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.