Software Effort Estimation using Satin Bowerbird Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 7
Abstract
There are various non-linear optimization problems can be effectively solved by Meta-heuristic Algorithms. The Software effort estimation is an optimization problem so it can also be solved by the Meta-heuristic algorithm. There are more than one algorithm is available today for finding the optimized solution for the particular problem. So we used one of the Metaheuristic algorithm that is Satin Bowerbird Algorithm[4]. This algorithm is used for finding the optimized value of a and b which are used in the Boehm’s COCOMO[2][8] Model for finding the nearest result in terms of software effort estimation with the actual effort as given in the dataset. We also used 15 effort multiplier for finding the nearest result. In recent years, the researchers try to pay more attention on the software effort estimation. In this paper we collate the software effort estimation among three models, these are COCOMO Model[2][8], Genetic Algorithm and Satin Bowerbird Optimization Algorithm[4]. We also evaluate the Mean Magnitude Relative Error and Root Mean Square value at last and compare with these models.
Authors and Affiliations
Rishi Kishore, D. L. Gupta
Keywords
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