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Volumn 4034 LNCS, Issue , 2006, Pages 402-407

Characterization of runaway software projects using association rule mining

Author keywords

Association rule mining; Project characterization; Risk factors

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMBINATORIAL MATHEMATICS; COMPUTER SCIENCE; DATA ACQUISITION; PROJECT MANAGEMENT; SOFTWARE ENGINEERING;

EID: 33746217402     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11767718_35     Document Type: Conference Paper
Times cited : (5)

References (7)
  • 1
    • 0025791156 scopus 로고
    • Software risk management: Principles and practice
    • Boehm, B.W.: Software risk management: Principles and practice. IEEE Software 8(1) (1991) 32-41
    • (1991) IEEE Software , vol.8 , Issue.1 , pp. 32-41
    • Boehm, B.W.1
  • 2
    • 0042767588 scopus 로고    scopus 로고
    • Prioritizing and assessing software project success factors and project characteristics using subjective data
    • Wohlin, C., Andrews, A.A.: Prioritizing and assessing software project success factors and project characteristics using subjective data. Empirical Software Engineering 8 (2003) 285-303
    • (2003) Empirical Software Engineering , vol.8 , pp. 285-303
    • Wohlin, C.1    Andrews, A.A.2
  • 3
    • 26044464061 scopus 로고    scopus 로고
    • An empirical approach to characterizing risky software projects based on logistic regression analysis
    • Takagi, Y., Mizuno, O., Kikuno, T.: An empirical approach to characterizing risky software projects based on logistic regression analysis. Empirical Software Engineering 10(4) (2005) 495-515
    • (2005) Empirical Software Engineering , vol.10 , Issue.4 , pp. 495-515
    • Takagi, Y.1    Mizuno, O.2    Kikuno, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.