期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1Ver 2
出版社：Ayushmaan Technologies
摘要：The ability to accurately estimate the time and/or cost taken for a.project.to come in to its successful conclusion is a serious problem for.software engineers. The use of a repeatable, clearly defined and well understood.software development process.has, in recent years, shown itself to be the most effective method of gaining useful.historical data.that can be used for statistical estimation. In particular, the act of sampling more frequently, coupled with the loosening of constraints between parts of a project, has allowed more accurate estimation and more rapid development times. Software effort estimation actually encompasses all estimation, risk analysis, scheduling, and SQA/SCM planning. However, in the context of set of resources, planning involves estimation - your attempt to determine how much money, how much effort, how many resources, and how much time it will take to build a specific software-based system or product. In this paper we will study the efficiency of Neural Network based cost estimation model with the traditional cost estimation model like Halstead Model, Bailey-Basili Model, Doty Model. We conclude our result with the proposal of Neuron based Model basis on Back propagation Technique.
