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Volumn 43 CCIS, Issue , 2009, Pages 223-234

Using the support vector machine as a classification method for software defect prediction with static code metrics

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED DETECTION; CLASSIFICATION METHODS; DATA SETS; DEVELOPMENT COSTS; PRE-PROCESSING STEP; SOFTWARE DEFECT PREDICTION; SOFTWARE SYSTEMS; STATIC CODES;

EID: 78049356206     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-03969-0_21     Document Type: Conference Paper
Times cited : (87)

References (19)
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  • 5
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    • Shen, V.Y., Conte, S.D., Dunsmore, H.E.: Software Science Revisited: A critical analysis of the theory and its empirical support. IEEE Trans. Softw. Eng. 9(2), 155-165 (1983)
    • (1983) IEEE Trans. Softw. Eng. , vol.9 , Issue.2 , pp. 155-165
    • Shen, V.Y.1    Conte, S.D.2    Dunsmore, H.E.3
  • 6
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    • A critique of cyclomatic complexity as a software metric
    • Shepperd, M.: A critique of cyclomatic complexity as a software metric. Softw. Eng. J. 3(2), 30-36 (1988)
    • (1988) Softw. Eng. J. , vol.3 , Issue.2 , pp. 30-36
    • Shepperd, M.1
  • 9
    • 39449092723 scopus 로고    scopus 로고
    • Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
    • The MIT Press, Cambridge
    • Schölkopf, B., Smola, A.J.: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. In: Adaptive Computation and Machine Learning. The MIT Press, Cambridge (2001)
    • (2001) Adaptive Computation and Machine Learning
    • Schölkopf, B.1    Smola, A.J.2
  • 12
    • 0003957032 scopus 로고    scopus 로고
    • Data Mining: Practical Machine Learning Tools and Techniques
    • 2nd edn. Morgan Kaufmann, San Francisco
    • Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, San Francisco (2005)
    • (2005) Morgan Kaufmann Series in Data Management Systems
    • Witten, I.H.1    Frank, E.2
  • 17
    • 49349089233 scopus 로고    scopus 로고
    • Benchmarking classification models for software defect prediction: A proposed framework and novel findings
    • Lessmann, S., Baesens, B., Mues, C., Pietsch, S.: Benchmarking classification models for software defect prediction: A proposed framework and novel findings. IEEE Transactions on Software Engineering 34(4), 485-496 (2008)
    • (2008) IEEE Transactions on Software Engineering , vol.34 , Issue.4 , pp. 485-496
    • Lessmann, S.1    Baesens, B.2    Mues, C.3    Pietsch, S.4
  • 18
    • 40749135790 scopus 로고    scopus 로고
    • Predicting defect-prone software modules using support vector machines
    • Elish, K.O., Elish, M.O.: Predicting defect-prone software modules using support vector machines. J. Syst. Softw. 81(5), 649-660 (2008)
    • (2008) J. Syst. Softw. , vol.81 , Issue.5 , pp. 649-660
    • Elish, K.O.1    Elish, M.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.