DocumentCode
2662711
Title
A Comparison of Heuristic Search Algorithms for Predicting the Effort Component of Software Projects
Author
Uysal, Mitat
Author_Institution
Comput. Eng. Dept., Dogus Univ., Istanbul, Turkey
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
92
Lastpage
97
Abstract
This paper presents a new model to calculate 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.
Keywords
genetic algorithms; search problems; simulated annealing; software development management; genetic algorithm; heuristic search algorithms; simulated annealing; software project effort component; tabu search algorithm; Computational modeling; Genetic algorithms; Heuristic algorithms; Optimization methods; Prediction algorithms; Predictive models; Robustness; Search methods; Simulated annealing; Software algorithms; Effort Estimation; Genetic Algorithm; Heuristic Search Algorithms; Simulated Annealing; Tabu Search;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location
Vienna
Print_ISBN
978-0-7695-3514-2
Type
conf
DOI
10.1109/CIMCA.2008.17
Filename
5172606
Link To Document