Title :
A Comparison of Heuristic Search Algorithms for Predicting the Effort Component of Software Projects
Author_Institution :
Comput. Eng. Dept., Dogus Univ., Istanbul, Turkey
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;
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
DOI :
10.1109/CIMCA.2008.17
