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Back Propagation Algorithm Based Model for Software Cost Estimation
2017
International Journal of Advanced Research in Computer Science and Software Engineering
Software Cost Estimation is a tough task as it includes various variations in every step of implementation which creates problems in measuring the KLOC (Line of Source Code in thousands) for cost estimation. Software industry becomes very vast from decades but software cost estimation is still a big problem for which software industry is still suffering. Our proposed model is for tuning parameters of COCOMO model software cost estimation using Particle Swarm Optimization (PSO). We will be using
doi:10.23956/ijarcsse/v7i6/0278
fatcat:bbvdbuyxg5cy5fzehh3p3oliwe