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Volumn 17, Issue 2, 2008, Pages 389-400

Empirical assessment of machine learning based software defect prediction techniques

Author keywords

Data analysis; Software defect prediction

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; DATA ACQUISITION; DATA REDUCTION; LEARNING ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS; SOFTWARE TESTING;

EID: 44349135014     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213008003947     Document Type: Article
Times cited : (88)

References (24)
  • 2
    • 0025399874 scopus 로고
    • Regression modeling of software quality: An empirical investigation
    • J. Munson, T. Khoshgoftaar, "Regression modeling of software quality: An empirical investigation," Information and Software Technology, Vol: 32, No. 2, (1990), pp. 106-114.
    • (1990) Information and Software Technology , vol.32 , Issue.2 , pp. 106-114
    • Munson, J.1    Khoshgoftaar, T.2
  • 3
    • 0025384365 scopus 로고
    • Predicting software development errors using complexity metrics
    • Feb
    • T. M. Khoshgoftaar, J.C. Munson, "Predicting software development errors using complexity metrics," IEEE J. on Selected Areas in Communications, Vol: 8, No. 2, (Feb. 1990), pp. 253-261.
    • (1990) IEEE J. on Selected Areas in Communications , vol.8 , Issue.2 , pp. 253-261
    • Khoshgoftaar, T.M.1    Munson, J.C.2
  • 5
    • 27544480397 scopus 로고    scopus 로고
    • A new approach for fitting linear models in high-dimensional Spaces,
    • PhD Thesis, Department of Computer Science, University of Waikato, New Zealand
    • Y. Wang, "A new approach for fitting linear models in high-dimensional Spaces," PhD Thesis, Department of Computer Science, University of Waikato, New Zealand, (2000).
    • (2000)
    • Wang, Y.1
  • 7
    • 0035015223 scopus 로고    scopus 로고
    • Investigation of logistic regression as a discriminant of software quality
    • N. F. Schneidewind, "Investigation of logistic regression as a discriminant of software quality," Proc. 7th Intl. Symp. Software Metrics, (2001), pp. 328-337.
    • (2001) Proc. 7th Intl. Symp. Software Metrics , pp. 328-337
    • Schneidewind, N.F.1
  • 8
    • 0035506767 scopus 로고    scopus 로고
    • Comparing software prediction techniques using simulation
    • Nov
    • M. Shepperd, G. Kadoda, "Comparing software prediction techniques using simulation," IEEE Trans. on Software Engineering, Vol. 27, No. 11, (Nov. 2001), pp. 1014-1022.
    • (2001) IEEE Trans. on Software Engineering , vol.27 , Issue.11 , pp. 1014-1022
    • Shepperd, M.1    Kadoda, G.2
  • 10
    • 84954107823 scopus 로고    scopus 로고
    • Prediction of software reliability: A comparison between regression and neural network non-parametric models
    • S.H. Aljahdali, A. Sheta, D. Rine, "Prediction of software reliability: a comparison between regression and neural network non-parametric models," ACS/IEEE Intl. Conf. on Computer Systems and Appls., (2001), pp. 470-473.
    • (2001) ACS/IEEE Intl. Conf. on Computer Systems and Appls , pp. 470-473
    • Aljahdali, S.H.1    Sheta, A.2    Rine, D.3
  • 12
    • 0035152294 scopus 로고    scopus 로고
    • Comparing case-based reasoning classifiers for predicting high risk software components
    • Nov
    • K. Eman, S. Benlarbi, N. Goel, S. Rai, "Comparing case-based reasoning classifiers for predicting high risk software components," J. of Systems Software, Vol. 55 No. 3, (Nov. 2001), pp. 301-310.
    • (2001) J. of Systems Software , vol.55 , Issue.3 , pp. 301-310
    • Eman, K.1    Benlarbi, S.2    Goel, N.3    Rai, S.4
  • 13
    • 27544437006 scopus 로고    scopus 로고
    • A comparative study of two techniques for analyzing software measurement data
    • Sydney, Australia
    • S. Morasca, G. Ruhe, "A comparative study of two techniques for analyzing software measurement data," Proceedings of Annual Meeting, ISERN, Sydney, Australia, (1996).
    • (1996) Proceedings of Annual Meeting, ISERN
    • Morasca, S.1    Ruhe, G.2
  • 15
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • R. Holte, "Very simple classification rules perform well on most commonly used datasets, Machine Learning, Vol. 11, (1993), pp. 69-91.
    • (1993) Machine Learning , vol.11 , pp. 69-91
    • Holte, R.1
  • 16
    • 0036709435 scopus 로고    scopus 로고
    • An enhanced neural network technique for software risk analysis
    • Sep
    • D.E. Neumann, "An enhanced neural network technique for software risk analysis," IEEE Trans. on Software Engineering, Vol. 28 No. 9, (Sep. 2002), pp. 904-912.
    • (2002) IEEE Trans. on Software Engineering , vol.28 , Issue.9 , pp. 904-912
    • Neumann, D.E.1
  • 17
    • 0004060921 scopus 로고    scopus 로고
    • Correlation-based feature selection for machine learning,
    • PhD Thesis, Department of Computer Science, University of Waikato, New Zealand
    • M. Hall, "Correlation-based feature selection for machine learning," PhD Thesis, Department of Computer Science, University of Waikato, New Zealand.
    • Hall, M.1
  • 18
    • 0002715112 scopus 로고    scopus 로고
    • Probabilistic approach to feature selection: A filter solution
    • Morgan Kaufmann
    • H. Liu, R.A. Setino, "Probabilistic approach to feature selection: A filter solution," 13th Intl. Conf. on Machine Learning, Morgan Kaufmann, (1996), pp. 319-327.
    • (1996) 13th Intl. Conf. on Machine Learning , pp. 319-327
    • Liu, H.1    Setino, R.A.2
  • 20
    • 85146422424 scopus 로고
    • A practical approach to feature selection
    • Morgan Kaufmann
    • K. Kira, L. Rendell, "A practical approach to feature selection," 9th Intl. Conf on Machine Learning, Morgan Kaufmann, (1992), pp. 249-256.
    • (1992) 9th Intl. Conf on Machine Learning , pp. 249-256
    • Kira, K.1    Rendell, L.2
  • 21
    • 0036642013 scopus 로고    scopus 로고
    • Software measurement: Uncertainty and causal modeling
    • July/Aug
    • N. Fenton, M. Neil, P. Krause, "Software measurement: uncertainty and causal modeling," IEEE Software Magazine, Vol. 19, No. 4, (July/Aug. 2002), pp. 116-122.
    • (2002) IEEE Software Magazine , vol.19 , Issue.4 , pp. 116-122
    • Fenton, N.1    Neil, M.2    Krause, P.3
  • 22
    • 0004255908 scopus 로고    scopus 로고
    • ISBN 0070428077, McGraw-Hill Book Co-Singapore
    • T. Mitchell, "Machine learning," ISBN 0070428077, McGraw-Hill Book Co-Singapore, 1997.
    • (1997) Machine learning
    • Mitchell, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.