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Volumn , Issue , 2006, Pages 135-142

A comparison of software fault imputation procedures

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FAULT DETECTION; REGRESSION ANALYSIS;

EID: 40349107198     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2006.5     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 1
    • 40349083786 scopus 로고    scopus 로고
    • P. D. Allison. Missing Data. 07-136. Sage University Papers Series on Quantitative Applications in the Social Sciences, Thousand Oaks, CA, 2000.
    • P. D. Allison. Missing Data. 07-136. Sage University Papers Series on Quantitative Applications in the Social Sciences, Thousand Oaks, CA, 2000.
  • 4
    • 0032156744 scopus 로고    scopus 로고
    • Classifcation of fault-prone software modules: Prior probabilities, costs and model evaluation
    • T. M. Khoshgoftaar and E. B. Allen. Classifcation of fault-prone software modules: Prior probabilities, costs and model evaluation. Empirical Software Engineering, 3:275 - 298, 1998.
    • (1998) Empirical Software Engineering , vol.3 , pp. 275-298
    • Khoshgoftaar, T.M.1    Allen, E.B.2
  • 5
    • 40349100081 scopus 로고    scopus 로고
    • Multiple imputation of missing values in software measurement data
    • Technical Report, April
    • T. M. Khoshgoftaar, A. Folleco, J. Van Hulse, and L. Bullard. Multiple imputation of missing values in software measurement data. Technical Report, April 2006.
    • (2006)
    • Khoshgoftaar, T.M.1    Folleco, A.2    Van Hulse, J.3    Bullard, L.4
  • 9
    • 0004282518 scopus 로고    scopus 로고
    • SAS Institute, SAS Institute Inc
    • SAS Institute. SAS/STAT User's Guide. SAS Institute Inc., 2004.
    • (2004) SAS/STAT User's Guide
  • 11


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.