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Volumn , Issue , 2007, Pages 11-18

Improving defect prediction using temporal features and non linear models

Author keywords

Decision Tree Learner; Defect Prediction; Mining Software Repository

Indexed keywords

DEFECT PREDICTION; INDUCTION ALGORITHMS; LARGE SOFTWARE SYSTEMS; MEAN ABSOLUTE ERROR; MINING SOFTWARE REPOSITORIES; MINING SOFTWARE REPOSITORY; NON-LINEAR MODEL; PREDICTION MODEL; PREDICTION PERFORMANCE; ROC CURVES; SOURCE FILES; TEMPORAL FEATURES; TREE-BASED;

EID: 77950525835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (18)
  • 2
    • 0034226738 scopus 로고    scopus 로고
    • Predicting fault incidence using software change history
    • T. L. Graves, A. F. Karr, J. S. Marron, and H. Siy. Predicting fault incidence using software change history. IEEE Trans. Softw. Eng., 26(7):653-661, 2000.
    • (2000) IEEE Trans. Softw. Eng. , vol.26 , Issue.7 , pp. 653-661
    • Graves, T.L.1    Karr, A.F.2    Marron, J.S.3    Siy, H.4
  • 3
    • 33646908844 scopus 로고    scopus 로고
    • The Top Ten List: Dynamic fault prediction
    • DOI 10.1109/ICSM.2005.91, 1510122, Proceedings of the 21st IEEE International Conference on Software Maintenance, ICSM 2005
    • A. E. Hassan and R. C. Holt. The top ten list: Dynamic fault prediction. In ICSM '05: Proceedings of the 21st IEEE International Conference on Software Maintenance (ICSM'05), pages 263-272, Washington, DC, USA, 2005. IEEE Computer Society. (Pubitemid 43790940)
    • (2005) IEEE International Conference on Software Maintenance, ICSM , vol.2005 , pp. 263-272
    • Hassan, A.E.1    Holt, R.C.2
  • 8
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • PII S000437029700043X
    • R. Kohavi and G. H. John. Wrappers for feature subset selection. Artificial Intelligence, 97(1-2):273-324, 1997. (Pubitemid 127401107)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 11
    • 22944473604 scopus 로고    scopus 로고
    • Predicting the location and number of faults in large software systems
    • T. J. Ostrand, E. J. Weyuker, and R. M. Bell. Predicting the location and number of faults in large software systems. IEEE Trans. Softw. Eng., 31(4):340-355, 2005.
    • (2005) IEEE Trans. Softw. Eng. , vol.31 , Issue.4 , pp. 340-355
    • Ostrand, T.J.1    Weyuker, E.J.2    Bell, R.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.