Parameters Estimation of the COCOMO Model Using Hybrid Algorithm of Genetic Algorithm and Cuckoo Search Algorithm
نویسندگان
چکیده
The Constructive Cost Model (COCOMO) is one of the famous software cost estimation model developed by Barry W. Boehm. This model is used to estimate software costs, duration and maintenance efforts early in the development life cycle. COCOMO model has a simple function with two parameters to be estimated. Many techniques were used to estimate those parameters such as fine tuning and better prediction that can be achieved. In this paper, hybrid algorithm of cuckoo search algorithm and genetic algorithm (CSGA) have been used to solve the parameter estimation problem that leads to what we call COCOMO-CSGA. A data set from NASA software projects has been used in the experiments. The experiments shows that CSGA improve the accuracy of effort estimation.
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