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Volumn , Issue , 2009, Pages 51-60

Tracking concept drift of software projects using defect prediction quality

Author keywords

[No Author keywords available]

Indexed keywords

CONCEPT DRIFTS; DEFECT PREDICTION; DEFECT PREDICTION MODELS; EVOLUTION HISTORY; GENERATION PROCESS; LINEAR REGRESSION MODELS; MOZILLA; NETBEANS; OPEN SOURCE PROJECTS; PREDICTION QUALITY; PROJECT MANAGERS; QUALITY OF PREDICTIONS; SOFTWARE PROJECT; SOFTWARE REPOSITORIES; SOFTWARE SYSTEMS; STABILITY AND INSTABILITY; TIME AXIS; TREE INDUCTION;

EID: 70349910123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MSR.2009.5069480     Document Type: Conference Paper
Times cited : (64)

References (18)
  • 5
    • 22944473604 scopus 로고    scopus 로고
    • Predicting the location and number of faults in large software systems
    • T. Ostrand, E. Weyuker, and R. Bell, "Predicting the location and number of faults in large software systems," IEEE Transactions on Software Engineering, vol. 31, no. 4, pp. 340-355, 2005.
    • (2005) IEEE Transactions on Software Engineering , vol.31 , Issue.4 , pp. 340-355
    • Ostrand, T.1    Weyuker, E.2    Bell, R.3
  • 6
    • 26444562687 scopus 로고    scopus 로고
    • The problem of concept drift: Definitions and related work
    • Department of Computer Science Trinity College, Tech. Rep
    • A. Tsymbal, "The problem of concept drift: Definitions and related work," Department of Computer Science Trinity College, Tech. Rep., 2004.
    • (2004)
    • Tsymbal, A.1
  • 11
    • 34548793480 scopus 로고    scopus 로고
    • S. Kim, T. Zimmermann, E. J. W. Jr, and A. Zeller, Predicting faults from cached history, in Proceedings of the 29th international conference on Software Engineering. IEEE Computer Society, 2007.
    • S. Kim, T. Zimmermann, E. J. W. Jr, and A. Zeller, "Predicting faults from cached history," in Proceedings of the 29th international conference on Software Engineering. IEEE Computer Society, 2007.
  • 16
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • F. Provost and T. Fawcett, "Robust classification for imprecise environments," Machine Learning, vol. 42, no. 3, 2001.
    • (2001) Machine Learning , vol.42 , Issue.3
    • Provost, F.1    Fawcett, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.