A Novel Software Cost Estimation Techniques using Fuzzy Methods: Efficient Software Cost Estimation Methods

Momentarily software cost estimation has protrusive role in software engineering practice. The most desired capabilities of any software development organization are its cost estimation for software projects. It helps the customers to make successful investments and also assist software project manager in making sustainable decisions during project execution. In order to fulfill the requirements of cost estimation, time effective software is required. By keeping in view of all these requirements, my book introduces a novel models of interval type-1 and type-2 fuzzy logic estimation effort in software in software development. This book touches upon MATLAB which is tuning parameter for various cost estimation model. published software projects data model performance is used along with comparison of my novel model and existing ubiquitous models.

J.N.V.R.Swarup Kumar received M.Tech degree (Information Technology) in 2010 from GITAM University. he has published number of books/papers in different International Conferences and International journals. He is peer - reviewer for two International journals. He is member of IEEE (91099158).