Novel Meta-Heuristic Algorithmic Approach for Software Cost Estimation

The Software Cost Estimation is very important task for completing the project successfully. The estimation in software development depends on various factors especially on cost and effort factors for which further AI (Artificial Intelligence) and Algorithmic models have been put into usage. This paper aims to discuss the methods for calculating the effort by using meta-heuristic algorithms for software development. This work lists two major aspects. First a thorough survey of already implemented meta-heuristic algorithms like MOPSO, Bee Colony Optimization and Firefly, have been presented. In the subsequent section, two novel techniques viz., BAT algorithm and Human Opinion Dynamics algorithms have been proposed for software cost estimation using effort parameter. KeywordsCOCOMO, MOPSO, Bat, Bee Colony Optimization, Firefly, Human Opinion Dynamics, etc.