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Volumn 11, Issue 1, 2006, Pages 77-91

A study on optimal scheduling for software projects

Author keywords

Optimal schedules; Process simulation; Project scheduling; Rework modeling; Stochastic process models

Indexed keywords

COMPUTATION THEORY; CONCURRENT ENGINEERING; FEEDBACK; MARKOV PROCESSES; MATHEMATICAL MODELS; PROJECT MANAGEMENT; SCHEDULING;

EID: 33646026668     PISSN: 10774866     EISSN: 10991670     Source Type: Journal    
DOI: 10.1002/spip.254     Document Type: Article
Times cited : (11)

References (20)
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    • Gray A, Mac Donell S. 1997. A comparison of techniques for developing predictive models of software metrics. Information and Software Technology 39: 425-437.
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    • Gray, A.1    Mac Donell, S.2
  • 7
    • 84937392030 scopus 로고    scopus 로고
    • Scheduling under uncertainty: Optimizing against a randomizing adversary
    • Proceedings of the 3rd International Workshop on Approximation Algorithms for Combinatorial Optimization Problems. Springer
    • Möhring RH. 2000. Scheduling under uncertainty: Optimizing against a randomizing adversary. Proceedings of the 3rd International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, LNCS 1913. Springer: 15-26.
    • (2000) LNCS , vol.1913 , pp. 15-26
    • Möhring, R.H.1
  • 14
    • 0343302356 scopus 로고    scopus 로고
    • Modeling software processes quantitatively and evaluating the performance of process alternatives
    • EL Emam K, Madhavji NH. IEEE Computer Society Press
    • Raffo DM, Kellner MI. 1999. Modeling Software Processes Quantitatively and Evaluating the Performance of Process Alternatives. Elements of Software Process Assessment and Improvement EL Emam K, Madhavji NH. IEEE Computer Society Press: 297-341.
    • (1999) Elements of Software Process Assessment and Improvement , pp. 297-341
    • Raffo, D.M.1    Kellner, M.I.2
  • 17
    • 0029255026 scopus 로고
    • Machine learning approaches to estimating software development effort
    • Srinivasan K, Fisher D. 1995. Machine learning approaches to estimating software development effort. IEEE Transactions on Software Engineering TSE 21(2): 126-137.
    • (1995) IEEE Transactions on Software Engineering TSE , vol.21 , Issue.2 , pp. 126-137
    • Srinivasan, K.1    Fisher, D.2
  • 20
    • 0007973390 scopus 로고
    • Using artificial neural networks and function points to estimate 4GL software development effort
    • Wittig GE, Finnie GR. 1994. Using artificial neural networks and function points to estimate 4GL software development effort. Australian Journal of Information Systems 1: 87-94.
    • (1994) Australian Journal of Information Systems , vol.1 , pp. 87-94
    • Wittig, G.E.1    Finnie, G.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.