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Volumn , Issue , 2011, Pages 139-144

COSTRIAGE: A Cost-Aware Triage Algorithm for Bug Reporting Systems

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BENCHMARKING; COSTS; PROGRAM DEBUGGING;

EID: 85156194739     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (13)
  • 3
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    • On finding the natural number of topics with latent dirichlet allocation: Some observations
    • Arun, R.; Suresh, V.; Madhavan, C. E. V.; and Murthy, M. N. N. 2010. On finding the natural number of topics with latent dirichlet allocation: Some observations. In PAKDD'10.
    • (2010) PAKDD'10
    • Arun, R.1    Suresh, V.2    Madhavan, C. E. V.3    Murthy, M. N. N.4
  • 5
    • 61849154516 scopus 로고    scopus 로고
    • A density-based method for adaptive lda model selection
    • Cao, J.; Xia, T.; Li, J.; Zhang, Y.; and Tang, S. 2009. A density-based method for adaptive lda model selection. In Neurocomputing.
    • (2009) Neurocomputing
    • Cao, J.1    Xia, T.2    Li, J.3    Zhang, Y.4    Tang, S.5
  • 6
    • 77954714792 scopus 로고    scopus 로고
    • Characterizing and predicting which bugs get fixed: an empirical study of microsoft windows
    • Guo, P. J.; Zimmermann, T.; Nagappan, N.; and Murphy, B. 2010. Characterizing and predicting which bugs get fixed: an empirical study of microsoft windows. In ICSE'10.
    • (2010) ICSE'10
    • Guo, P. J.1    Zimmermann, T.2    Nagappan, N.3    Murphy, B.4
  • 8
    • 3042829247 scopus 로고    scopus 로고
    • An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
    • Herlocker, J.; Konstan, J. A.; and Riedl, J. 2002. An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. In Information Retrieval'02.
    • (2002) Information Retrieval'02
    • Herlocker, J.1    Konstan, J. A.2    Riedl, J.3
  • 9
    • 77949344285 scopus 로고    scopus 로고
    • Improving bug triage with bug tossing graphs
    • Jeong, G.; Kim, S.; and Zimmermann, T. 2009. Improving bug triage with bug tossing graphs. In ESEC/FSE'09.
    • (2009) ESEC/FSE'09
    • Jeong, G.1    Kim, S.2    Zimmermann, T.3
  • 10
    • 34548763578 scopus 로고    scopus 로고
    • How long did it take to fix bugs?
    • Kim, S., and Whitehead, Jr., E. J. 2006. How long did it take to fix bugs? In MSR'06.
    • (2006) MSR'06
    • Kim, S.1    Whitehead, E. J.2
  • 11
    • 36448972659 scopus 로고    scopus 로고
    • Effective missing data prediction for collaborative filtering
    • Ma, H.; King, I.; and Lyu, M. R. 2007. Effective missing data prediction for collaborative filtering. In SIGIR'07.
    • (2007) SIGIR'07
    • Ma, H.1    King, I.2    Lyu, M. R.3
  • 12
    • 33749244569 scopus 로고    scopus 로고
    • Content-boosted collaborative filtering for improved recommendations
    • Melville, P.; Mooney, R. J.; and Nagarajan, R. 2002. Content-boosted collaborative filtering for improved recommendations. In AAAI'02.
    • (2002) AAAI'02
    • Melville, P.1    Mooney, R. J.2    Nagarajan, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.