An effective software project effort estimation system using optimal firefly algorithm

The software effort estimation is one of the active presentations in the software project administration. Accordingly, it is not frequently possible to antedate the exact guesses in the estimation of software development effort. There are many techniques used for effort estimation. But we cannot confirm that one particular method alone gives good accuracy in estimates. In this expose, a hybrid process is gracefully boosted for the estimation of the effort of software project. The innovative process is unknown; but consolidation of the fuzzy analogy by the side of the firefly and the Expectation-Maximization (EM) process that is envisaged for estimation of the software project lead to the enhancement of accuracy in prediction. Furthermore, an EM is employed to group large amount of data. The significant production is set as an input to the fuzzy analogy in parallel to the Firefly Algorithm (FA). Consecutively, the FA is competently familiar in enhancing the optimal solutions and thereby improves estimation accuracy. The fuzzy analogy reliably helps the presentation of assessing the effort of the software project. The epoch-making process is proficient in java platform and its task is competently estimated.