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Volumn 4422 LNCS, Issue , 2007, Pages 12-26

EQ-mine: Predicting short-term defects for software evolution

Author keywords

Classification; Defect density; Machine learning; Quality prediction; Regression; Software evolution

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; DEFECT DENSITY; FEATURE EXTRACTION; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING; PROJECT MANAGEMENT; REGRESSION ANALYSIS;

EID: 37149011273     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71289-3_3     Document Type: Conference Paper
Times cited : (27)

References (17)
  • 9
    • 84943177807 scopus 로고    scopus 로고
    • Developing fault predictors for evolving software systems
    • Sydney, Australia
    • Nikora, A.P., Munson, J.C.: Developing fault predictors for evolving software systems. In: Proceedings of the Software Metrics Symposium, Sydney, Australia (2003) 338-350
    • (2003) Proceedings of the Software Metrics Symposium , pp. 338-350
    • Nikora, A.P.1    Munson, J.C.2
  • 11
    • 77956619193 scopus 로고    scopus 로고
    • Populating a release history database from version control and bug tracking systems
    • Amsterdam, Netherlands, IEEE Computer Society Press
    • Fischer, M., Pinzger, M., Gall, H.: Populating a release history database from version control and bug tracking systems. In: Proceedings of the International Conference on Software Maintenance, Amsterdam, Netherlands, IEEE Computer Society Press (2003) 23-32
    • (2003) Proceedings of the International Conference on Software Maintenance , pp. 23-32
    • Fischer, M.1    Pinzger, M.2    Gall, H.3
  • 13
    • 0031099876 scopus 로고    scopus 로고
    • Re-examining the fault density-component size connection
    • Hatton, L.: Re-examining the fault density-component size connection. IEEE Software 14(2) (1997) 89-98
    • (1997) IEEE Software , vol.14 , Issue.2 , pp. 89-98
    • Hatton, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.