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Volumn 9, Issue 4, 2012, Pages 193-206

Performance evaluation metrics for software fault prediction studies

Author keywords

Machine learning; Performance evaluation; Software fault prediction

Indexed keywords


EID: 84866117799     PISSN: 17858860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (67)

References (45)
  • 1
    • 71649110371 scopus 로고    scopus 로고
    • A Systematic and Comprehensive Investigation of Methods to Build and Evaluate Fault Prediction Models
    • E. Arisholm, L. C. Briand, and E. B. Johannessen, A Systematic and Comprehensive Investigation of Methods to Build and Evaluate Fault Prediction Models, Journal of Systems and Software 83 (1) (2010) 2-17
    • (2010) Journal of Systems and Software , vol.83 , Issue.1 , pp. 2-17
    • Arisholm, E.1    Briand, L.C.2    Johannessen, E.B.3
  • 2
    • 56349101871 scopus 로고    scopus 로고
    • Software Quality Prediction Using Affinity Propagation Algorithm
    • Y. Bingbing, Y. Qian, X. Shengyong, and G. Ping, Software Quality Prediction Using Affinity Propagation Algorithm, Proc. IJCNN 2008, 2008, pp. 1891-1896
    • (2008) Proc. IJCNN 2008 , pp. 1891-1896
    • Bingbing, Y.1    Qian, Y.2    Shengyong, X.3    Ping, G.4
  • 3
    • 48049123709 scopus 로고    scopus 로고
    • Proc. Testing: Academic and industrial Conference Practice and Research Techniques -MUTATION, TAICPART-MUTATION 2007, Washington, DC
    • D. Binkley, H. Feild, D. Lawrie, M. Pighin, Software Fault Prediction Using Language Processing, Proc. Testing: Academic and industrial Conference Practice and Research Techniques -MUTATION, TAICPART-MUTATION 2007, Washington, DC, 2007, pp. 99-110
    • (2007) Software Fault Prediction Using Language Processing , pp. 99-110
    • Binkley, D.1    Feild, H.2    Lawrie, D.3    Pighin, M.4
  • 4
    • 0027702759 scopus 로고
    • Developing Interpretable Models with Optimized Set Reduction for Identifying High Risk Software Components
    • L. C. Briand, V. Basili, C. Hetmanski, Developing Interpretable Models with Optimized Set Reduction for Identifying High Risk Software Components, IEEE Transactions on Software Engineering 19 (11) (1993) 1028-1044
    • (1993) IEEE Transactions On Software Engineering , vol.19 , Issue.11 , pp. 1028-1044
    • Briand, L.C.1    Basili, V.2    Hetmanski, C.3
  • 5
    • 60249092995 scopus 로고    scopus 로고
    • A Systematic Review of Software Fault Prediction Studies
    • C. Catal, B. Diri, A Systematic Review of Software Fault Prediction Studies, Expert Systems with Applications 36 (4) (2009a) 7346-7354
    • (2009) Expert Systems With Applications , vol.36 , Issue.4 , pp. 7346-7354
    • Catal, C.1    Diri, B.2
  • 6
    • 59149091560 scopus 로고    scopus 로고
    • Investigating the Effect of Dataset Size, Metrics Sets, and Feature Selection Techniques on Software Fault Prediction Problem
    • C. Catal, B. Diri, Investigating the Effect of Dataset Size, Metrics Sets, and Feature Selection Techniques on Software Fault Prediction Problem, Inf. Sci. 179 (8) (2009b) 1040-1058
    • (2009) Inf. Sci , vol.179 , Issue.8 , pp. 1040-1058
    • Catal, C.1    Diri, B.2
  • 7
    • 27344454215 scopus 로고    scopus 로고
    • Learning from Labeled and Unlabeled Data. An Empirical Study across Techniques and Domains
    • N. V. Chawla, G. J. Karakoulas, Learning from Labeled and Unlabeled Data. An Empirical Study across Techniques and Domains, Journal of Artificial Intelligence Research, 23 (2005) 331-366
    • (2005) Journal of Artificial Intelligence Research , vol.23 , pp. 331-366
    • Chawla, N.V.1    Karakoulas, G.J.2
  • 10
    • 33748991193 scopus 로고    scopus 로고
    • Cost Curves: An Improved Method for Visualizing Classifier Performance
    • C. Drummond, R. C. Holte, Cost Curves: An Improved Method for Visualizing Classifier Performance, Machine Learning 65 (1) (2006) 95130
    • (2006) Machine Learning , vol.65 , Issue.1 , pp. 95130
    • Drummond, C.1    Holte, R.C.2
  • 12
    • 0005608780 scopus 로고    scopus 로고
    • The Prediction of Faulty Classes Using Object-oriented Design Metrics
    • K. El-Emam, W. Melo, J. C. Machado, The Prediction of Faulty Classes Using Object-oriented Design Metrics, Journal of Systems and Software 56 (1) (2001) 63-75
    • (2001) Journal of Systems and Software , vol.56 , Issue.1 , pp. 63-75
    • El-Emam, K.1    Melo, W.2    Machado, J.C.3
  • 14
    • 34250330312 scopus 로고    scopus 로고
    • A Comprehensive Empirical Study of Count Models for Software Fault Prediction
    • K. Gao, T. M. Khoshgoftaar, A Comprehensive Empirical Study of Count Models for Software Fault Prediction, IEEE Transactions for Reliability 56 (2) (2007) 223-236
    • (2007) IEEE Transactions For Reliability , vol.56 , Issue.2 , pp. 223-236
    • Gao, K.1    Khoshgoftaar, T.M.2
  • 16
    • 30344485154 scopus 로고    scopus 로고
    • Empirical Validation of Object-oriented Metrics on Open Source Software for Fault Prediction
    • T. Gyimothy, R. Ferenc, I. Siket, Empirical Validation of Object-oriented Metrics on Open Source Software for Fault Prediction, IEEE Transactions on Software Engineering 31 (10) (2005) 897-910
    • (2005) IEEE Transactions On Software Engineering , vol.31 , Issue.10 , pp. 897-910
    • Gyimothy, T.1    Ferenc, R.2    Siket, I.3
  • 17
    • 0242410408 scopus 로고    scopus 로고
    • Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
    • M. Hall, G. Holmes, Benchmarking Attribute Selection Techniques for Discrete Class Data Mining, IEEE Trans. Knowledge and Data Eng. 15 (6) (2003) 1437-1447
    • (2003) IEEE Trans. Knowledge and Data Eng , vol.15 , Issue.6 , pp. 1437-1447
    • Hall, M.1    Holmes, G.2
  • 18
    • 24144464528 scopus 로고    scopus 로고
    • Good Practice in Retail Credit Scorecard Assessment
    • D. J. Hand, Good Practice in Retail Credit Scorecard Assessment, Journal of the Operational Research Society 56 (2005) 1109-1117
    • (2005) Journal of the Operational Research Society , vol.56 , pp. 1109-1117
    • Hand, D.J.1
  • 22
    • 33746864881 scopus 로고    scopus 로고
    • An Empirical Study of Predicting Software Faults with Case-based Reasoning
    • T. M. Khoshgoftaar, N. Seliya, N. Sundaresh, An Empirical Study of Predicting Software Faults with Case-based Reasoning, Software Quality Journal 14 (2) (2006) 85-111
    • (2006) Software Quality Journal , vol.14 , Issue.2 , pp. 85-111
    • Khoshgoftaar, T.M.1    Seliya, N.2    Sundaresh, N.3
  • 24
    • 44649197212 scopus 로고    scopus 로고
    • AdaBoost with SVM-based Component Classifiers
    • X. Li, L. Wang, E. Sung, AdaBoost with SVM-based Component Classifiers, Eng. Appl. Artif. Intelligence 21 (5) (2008) 785-795
    • (2008) Eng. Appl. Artif. Intelligence , vol.21 , Issue.5 , pp. 785-795
    • Li, X.1    Wang, L.2    Sung, E.3
  • 30
    • 84857172936 scopus 로고    scopus 로고
    • Evaluation Criteria for Object-oriented Metrics
    • S. Misra, Evaluation Criteria for Object-oriented Metrics, Acta Polytechnica Hungarica 8(5) (2011) 109-136
    • (2011) Acta Polytechnica Hungarica , vol.8 , Issue.5 , pp. 109-136
    • Misra, S.1
  • 31
    • 33746255379 scopus 로고    scopus 로고
    • Building High-Quality Software Fault Predictors
    • A. P. Nikora, J. C. Munson, Building High-Quality Software Fault Predictors, Software Practice and Experience 36 (9) (2006) 949-969
    • (2006) Software Practice and Experience , vol.36 , Issue.9 , pp. 949-969
    • Nikora, A.P.1    Munson, J.C.2
  • 32
    • 84857159792 scopus 로고    scopus 로고
    • Software Measurement Activities in Small and Medium Enterprises: An Empirical Assessment
    • O. T. Pusatli, S. Misra, Software Measurement Activities in Small and Medium Enterprises: An Empirical Assessment, Acta Polytechnica Hungarica 8(5) (2011) 21-42
    • (2011) Acta Polytechnica Hungarica , vol.8 , Issue.5 , pp. 21-42
    • Pusatli, O.T.1    Misra, S.2
  • 33
    • 0002442796 scopus 로고    scopus 로고
    • Machine Learning in Automated Text Categorization
    • F. Sebastiani, Machine Learning in Automated Text Categorization, ACM Comput. Surv. 34 (1) (2002) 1-47
    • (2002) ACM Comput. Surv , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 35
    • 34548214178 scopus 로고    scopus 로고
    • Software Quality Estimation with Limited Fault Data: A Semi-supervised Learning Perspective
    • N. Seliya, T. M. Khoshgoftaar, Software Quality Estimation with Limited Fault Data: A Semi-supervised Learning Perspective, Software Quality Journal 15 (3) (2007) 327-344
    • (2007) Software Quality Journal , vol.15 , Issue.3 , pp. 327-344
    • Seliya, N.1    Khoshgoftaar, T.M.2
  • 38
    • 57649232840 scopus 로고    scopus 로고
    • Analysis of Naive Bayes' Assumptions on Software Fault Data: An Empirical Study
    • B. Turhan, A. Bener, Analysis of Naive Bayes' Assumptions on Software Fault Data: An Empirical Study, Data Knowl. Eng. 68 (2) (2009) 278-290
    • (2009) Data Knowl. Eng , vol.68 , Issue.2 , pp. 278-290
    • Turhan, B.1    Bener, A.2
  • 40
    • 33646527336 scopus 로고    scopus 로고
    • A Soft Real-Time Web News Classification System with Double Control Loops
    • H. Wang, Y. Chen, and Y. Dai, A Soft Real-Time Web News Classification System with Double Control Loops, Proc. WAIM 2005, 2005, pp. 81-90
    • (2005) Proc. WAIM , vol.2005 , pp. 81-90
    • Wang, H.1    Chen, Y.2    Dai, Y.3
  • 41
    • 16244366026 scopus 로고
    • Index for Rating Diagnostic Tests
    • W. Youden, Index for Rating Diagnostic Tests, Cancer 3 (1) (1950) 32-35
    • (1950) Cancer , vol.3 , Issue.1 , pp. 32-35
    • Youden, W.1
  • 44
    • 33947174112 scopus 로고    scopus 로고
    • Empirical Analysis of Object-oriented Design Metrics for Predicting High and Low Severity Faults
    • Y. Zhou, H. Leung, Empirical Analysis of Object-oriented Design Metrics for Predicting High and Low Severity Faults, IEEE Transactions on Software Engineering 32 (10) (2006) 771-789
    • (2006) IEEE Transactions On Software Engineering , vol.32 , Issue.10 , pp. 771-789
    • Zhou, Y.1    Leung, H.2
  • 45
    • 33947267482 scopus 로고    scopus 로고
    • Weighting Fuzzy Classification Rules Using Receiver Operating Characteristics (ROC) Analysis
    • M. J. Zolghadri, E. G. Mansoori, Weighting Fuzzy Classification Rules Using Receiver Operating Characteristics (ROC) Analysis, Inf. Sci. 177 (11) (2007) 2296-2307
    • (2007) Inf. Sci , vol.177 , Issue.11 , pp. 2296-2307
    • Zolghadri, M.J.1    Mansoori, E.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.