Abstract
Software Effort Estimation is the most important activity in project planning for Project Management. This Effort estimation is required for estimation of resources, time to complete the project successfully. Many models have been proposed, but because of differences in the data collected, type of projects and project attributes, no model has been proven successful at effectively and consistently predicting software development effort due to the uncertainty factors. The Uncertainty in effort estimation controlled by using fuzzy logic and the parameters of the Effort estimation are tuned by the Particle Swarm Optimization with Inertia Weight. We proposed three models for software effort estimation using fuzzy logic and PSO with Inertia Weight. The valuated effort is optimized using the incumbent archetypal and tested and tried on NASA software projects on the basis of three touchstones for assessment of software cost estimation models. A comparison of the all models is done and it is found that the incumbent archetypal cater better values.
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