文章基本信息

标题：An Automated Neuro Model for Software Effort Estimation and RMMI using Competitive Learning
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作者：M.Senthil Kumar ; Dr.B.Chidhambara Rajan
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：6
页码：2060-2065
出版社：Technopark Publications
摘要：This Paper addresses the neural model for analyzing software effort estimation and risk prediction using the automated neuro tool is proposed. The model carries some of the desirable features of the neural approaches such as learning ability and good interoperability with the use case models of software estimation. It can train the system to calculate the Use case points without use of the automated use case tools and XML input files. Approach: In this paper, is discussed & compared with the existing work on effort estimation and also it proposes a Neural Network training Approach for effort estimation process with good judgments between use case types. Results: Knowledge acquired by the network from the environment through a learning process is given as the input. Conclusion: Furthermore, this method can help provide a path for Risk Mitigation and Monitoring (RMMI) measures and reduction of development cost of the software projects
关键词：Effort Estimation; Neural Networks; RMMI; XML files