Using heuristic search algorithms for predicting the effort of software projects
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Yayıncı
Azerbaijan National Academy of Sciences (ANAS)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents a new model to predict the effort component of a software project. To find the optimal values of the parameters of the proposed model, this study used Genetic Algorithm (GA), Simulated Annealing (SA) and Tabu Search (TS) based algorithms. The results of the heuristic algorithms used are also compared.
Açıklama
Anahtar Kelimeler
Heuristic Optimization, Software Cost Estimation, Curve Fitting, Software Engineering, Operations Research, Global Optimization, Tabu Search
Kaynak
Applied and Computational Mathematics
WoS Q Değeri
Scopus Q Değeri
Cilt
8
Sayı
2
Künye
UYSAL, M. (2009). Using heuristic search algorithms for predicting the effort of software projects. Applied and Computational Mathematics, 8 (2), pp. 251-262.
