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Volumn , Issue , 2008, Pages 259-264

Using statistical models to predict software regressions

Author keywords

[No Author keywords available]

Indexed keywords

CODE CHANGES; CODE METRICS; EARLY DETECTION; SOFTWARE METRICS; SOFTWARE SYSTEMS; STABLE PARTS; STATISTICAL MODELS;

EID: 67249164999     PISSN: 10719458     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSRE.2008.21     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 7
    • 33845782503 scopus 로고    scopus 로고
    • Data mining static code attributes to learn defect predictors
    • DOI 10.1109/TSE.2007.256941
    • T. Menzies, J. Greenwald, A. Frank, "Data Mining Static Code Attributes to Learn Defect Predictors," IEEE Transactions on Software Engineering, vol.33, no. 1, pp. 2-13, Jan., 2007 (Pubitemid 46002165)
    • (2007) IEEE Transactions on Software Engineering , vol.33 , Issue.1 , pp. 2-13
    • Menzies, T.1    Greenwald, J.2    Frank, A.3
  • 9
    • 0034172234 scopus 로고    scopus 로고
    • Predicting risk of software changes
    • DOI 10.1002/bltj.2229
    • A. Mockus, D. Weiss, "Predicting risk of software changes", Bell Labs Tech Journal, Vol.5, no. 2, 2000, pp. 169-180. (Pubitemid 30918160)
    • (2000) Bell Labs Technical Journal , vol.5 , Issue.2 , pp. 169-180
    • Mockus, A.1    Weiss, D.M.2
  • 11
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • T. Fawcett, "An Introduction to ROC analysis", Pattern Recognition Letters, 26, 2006, pp. 861-874
    • (2006) Pattern Recognition Letters , vol.26 , pp. 861-87
    • Fawcett, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.