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Volumn , Issue , 2007, Pages 354-363

Mining software evolution to predict refactoring

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION SUPPORT SYSTEMS; DECISION THEORY; DECISION TREES; FEATURE EXTRACTION; INFORMATION MANAGEMENT; LIFE CYCLE; MATHEMATICAL MODELS; MINING; SEARCH ENGINES; SOFTWARE ENGINEERING; TECHNOLOGY;

EID: 47949102923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ESEM.2007.63     Document Type: Conference Paper
Times cited : (59)

References (21)
  • 1
    • 33751039248 scopus 로고    scopus 로고
    • Refactoring trends across n versions of n java open source systems: An empirical study
    • Technical report, University of London
    • D. Advani, Y. Hassoun, and S. Counsell. Refactoring trends across n versions of n java open source systems: an empirical study. Technical report, University of London, 2005.
    • (2005)
    • Advani, D.1    Hassoun, Y.2    Counsell, S.3
  • 7
    • 0033346610 scopus 로고    scopus 로고
    • A critique of software defect prediction models
    • September
    • N. E. Fenton and M. Neil. A critique of software defect prediction models. IEEE Transactions on Software Engineering, 25(5):675-689, September 1999.
    • (1999) IEEE Transactions on Software Engineering , vol.25 , Issue.5 , pp. 675-689
    • Fenton, N.E.1    Neil, M.2
  • 10
    • 0031099876 scopus 로고    scopus 로고
    • Re-examining the fault density-component size connection
    • March/April
    • L. Hatton. Re-examining the fault density-component size connection. IEEE Software, 14(2):89-98, March/April 1997.
    • (1997) IEEE Software , vol.14 , Issue.2 , pp. 89-98
    • Hatton, L.1
  • 21
    • 4544295325 scopus 로고    scopus 로고
    • T. Zimmermann, P. Weißgerber, S. Diehl, and A. Zeller. Mining version histories to guide software changes. In Proceedings of the International Conference on Software Engineering, 00, pages 563-572, Edinburgh, Scotland, UK, May 2004.
    • T. Zimmermann, P. Weißgerber, S. Diehl, and A. Zeller. Mining version histories to guide software changes. In Proceedings of the International Conference on Software Engineering, volume 00, pages 563-572, Edinburgh, Scotland, UK, May 2004.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.