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Volumn , Issue , 2005, Pages 286-297

Mining behavior graphs for "Backtrace" of noncrashing bugs

Author keywords

Closed pattern; Data mining; Debugging; Noncrashing bugs; Software reliability; SVM

Indexed keywords

COMPUTER DEBUGGING; PROGRAM DEBUGGING; SOFTWARE RELIABILITY; SUPPORT VECTOR MACHINES;

EID: 84880122671     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.26     Document Type: Conference Paper
Times cited : (96)

References (26)
  • 13
    • 0037735753 scopus 로고    scopus 로고
    • Advances in kernel methods: Support vector learning
    • chapter MIT Press
    • T. Joachims. Advances in kernel methods: Support vector learning. In chapter "Making Large-scale SVM Learning Practical". MIT Press, 1999.
    • (1999) Making Large-scale SVM Learning Practical
    • Joachims, T.1
  • 14
    • 0029256045 scopus 로고
    • Ferrari: A flexible software-based fault and error injection system
    • G. Kanawati, N. Kanawati, and J. Abraham. Ferrari: A flexible software-based fault and error injection system. IEEE Transactions on Computers, 44:248-260, 1995.
    • (1995) IEEE Transactions on Computers , vol.44 , pp. 248-260
    • Kanawati, G.1    Kanawati, N.2    Abraham, J.3
  • 15
    • 84978405260 scopus 로고    scopus 로고
    • Using model checking to debug device firmware
    • S. Kumar and K. Li. Using model checking to debug device firmware. SIGOPS Oper. Syst. Rev., 36(SI):61-74, 2002.
    • (2002) SIGOPS Oper. Syst. Rev. , vol.36 , Issue.SI , pp. 61-74
    • Kumar, S.1    Li, K.2
  • 16
    • 0027634119 scopus 로고
    • An investigation of the therac-25 accidents
    • N. Leveson and C. Turner. An investigation of the therac-25 accidents. Computer, 26(7):18-41, 1993.
    • (1993) Computer , vol.26 , Issue.7 , pp. 18-41
    • Leveson, N.1    Turner, C.2
  • 17
    • 78149313084 scopus 로고    scopus 로고
    • CMAR: Accurate and efficient classification based on multiple class-association rules
    • San Jose, CA
    • W. Li, J. Han, and J. Pei. CMAR: Accurate and efficient classification based on multiple class-association rules. In Proc. 2001 Int. Conf. on Data Mining (ICDM'01), pages 369-376, San Jose, CA, 2001.
    • (2001) Proc. 2001 Int. Conf. on Data Mining (ICDM'01) , pp. 369-376
    • Li, W.1    Han, J.2    Pei, J.3
  • 21
    • 0000852396 scopus 로고    scopus 로고
    • Empirical studies of a safe regression test selection technique
    • G. Rothermel and M. J. Harrold. Empirical studies of a safe regression test selection technique. IEEE Transaction on Software Engineering, 24(6):401-419, 1998.
    • (1998) IEEE Transaction on Software Engineering , vol.24 , Issue.6 , pp. 401-419
    • Rothermel, G.1    Harrold, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.