Tuning of COCOMO II Model Parameters for Estimating Software Development Effort Using GA for PROMISE Project Data Set

Provided by: International Journal of Computer Applications
Topic: Software
Format: PDF
In this paper, the authors have tuned the parameters of COCOMO II model to estimate the software development effort using Genetic Algorithm (GA). Results obtained by applying GA have been compared with results obtained by applying Particle Swarm Optimization (PSO) published in previous paper. COCOMO II model is modified by introducing some more parameters to predict the software development effort more precisely. The performance of this parametric model is tested on the past PROMISE and NASA projects data set.

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