Software Cost Estimation using Particle Swarm Optimization and Neural Network

Software Cost Estimation using Particle Swarm Optimization and Neural Network

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-48 Number-2
Year of Publication : 2017
Authors : Sheena Goyal, Sheilly Padda
DOI :  10.14445/22315381/IJETT-V48P219

Citation 

Sheena Goyal, Sheilly Padda "Software Cost Estimation using Particle Swarm Optimization and Neural Network", International Journal of Engineering Trends and Technology (IJETT), V48(2),106-109 June 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
In today’s time, cost estimation of the project is the major part. Whenever a project is required by any company or organization, then the second major thing along with project requirements comes the cost they can spent on the project. In project management, planning and resources are allocated according to the cost it takes. Only then resources are described and assigned which includes the effort in allocating the resources and time in allocation of resources. In our research we are going to minimize the effort estimation non-linearity using clustering technique called K-means clustering. Then parameters of each cluster are tuned using PSO. These clusters and tuned parameters are further trained using back propagation.

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Keywords
PSO, Software cost estimation, K-means clustering.