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Intelligent Models Creation for cost estimation using Clustering techniques

Author(s): Prof. N. Suresh HOD/CSE

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 6;
Start page: 2350;
Date: 2013;
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Keywords: Software cost estimation is the difficult task and important task for successful projects. Using software cost estimation technique predict the time and cost to build successful software development

Software has played an increasingly important role in systems acquisition, engineering and development particularly for large complex systems. Software development may include research, new development, modification, reuse, re-engineering, maintenance or any other activities that result in software products. The software development methodology is a framework that is used to structure; plan and control the process of developing information systems. A wide variety of such frameworks have evolved over the years, each with its own recognized strengths and weakness. System development methodology is not necessarily suitable to be used by all projects, based on various technical, organizational, project and team considerations. Software development effort estimation is the process of predicting the most realistic use of effort required to develop or maintain software based on incomplete, uncertain and noisy input. Effort estimated may be used as input to project plans, iteration plans, budgets, and investment analyses, pricing processes and bidding rounds the term many ways of categorizing estimation, approaches. The top level categories are expert estimation, formal estimation, combinationbased estimation, statistical estimation. The ability to accurately estimate the time taken and cost for a project to come in to its successful conclusion is serious problem for software engineers. Accurate estimation of the software costs is a critical part of effective program management. The practice of predicting the cost of software has evolved, but it is far from perfect. The perfect cost-estimation method recommends an approach to improve the utility of the software cost estimated by exposing uncertainty (in understanding of the project as well as in costing accuracy) and reducing the risk that the estimate will be far different from the actual cost. My proposed work is to frame a cost estimation model in the approach to improve the utility of the software cost estimated by exposing uncertainty
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