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Volumn , Issue , 2007, Pages 19-26

Learning from bug-introducing changes to prevent fault prone code

Author keywords

Bug pre diction; Mining software repositories; Software evolution

Indexed keywords

DATA MINING; DIGITAL LIBRARIES; MATHEMATICAL MODELS; PROGRAM DEBUGGING; PROJECT MANAGEMENT; SOFTWARE ENGINEERING;

EID: 41149128425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1294948.1294954     Document Type: Conference Paper
Times cited : (23)

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
  • 8
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • 97(l-2):273-324
    • R. Kohavi and G. H. John. Wrappers for feature subset selection. Artificial Intelligence, 97(l-2):273-324, 1997.
    • (1997) Artificial Intelligence
    • 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.