Use of Computational Intelligence Technique for Accuracy Enhancement in Software Cost Estimation
Aruna Shrivastava, Neelabh Sao · 2015
For any software organization three fundamental and essential requirements are- delivering a software product on time, with an agreed level of quality and within budget. Both underestimation and overestimation of software cost may cause adverse effect on s/w quality, budget, schedule, company's business reputation and competitiveness. Thus with the hope of managing project well within budget and schedule, a myriad of cost estimation models have been proposed. This paper proposes a new Computational Intelligence based approach that encompasses merits of 3 techniques namely Particle Swarm Optimization, Analogy Based Estimation, and Genetic Programming. This hybrid approach can effectively enhance the accuracy and prediction power of estimation model.