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Volumn , Issue , 2012, Pages 125-130

Automatic categorization of bug reports using latent Dirichlet allocation

Author keywords

component recommendation; recommendation system; software bug triage

Indexed keywords

AUTOMATIC CATEGORIZATION; BUG REPORTS; COMPONENT RECOMMENDATION; KULLBACK LEIBLER DIVERGENCE; LATENT DIRICHLET ALLOCATION; LATENT DIRICHLET ALLOCATIONS; MACHINE-LEARNING; OPEN SOURCE PROJECTS; SOFTWARE BUG TRIAGE; SOFTWARE DEVELOPER; SUPPORT VECTOR MACHINE (SVM); SVM CLASSIFIERS; TERM FREQUENCY-INVERSE DOCUMENT FREQUENCIES;

EID: 84858300807     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2134254.2134276     Document Type: Conference Paper
Times cited : (78)

References (11)
  • 3
    • 80052315877 scopus 로고    scopus 로고
    • Reducing the effort of bug report triage: Recommenders for development-oriented decisions
    • J. Anvik and G.C. Murphy. Reducing the effort of bug report triage: Recommenders for development-oriented decisions. ACM Trans. on Soft. Eng. and Methodology, 20(3), 2011.
    • (2011) ACM Trans. on Soft. Eng. and Methodology , vol.20 , Issue.3
    • Anvik, J.1    Murphy, G.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.