Software Cost Estimation Using Artificial Neural Network
Advances in Intelligent Systems and Computing, Nov 25, 2017
Cost estimation is something we can call the most challenging task of software project management... more Cost estimation is something we can call the most challenging task of software project management. Cost estimation is to precisely assess required assets and schedules for software improvement ventures, and it includes a number of things under its wide umbrella, for example, estimation of the effort required, estimation of the size of the software product to be produced, and last but not the least estimating the cost of the project. The overall project life cycle is impacted by the accurate prediction of the software development cost. Lots of models for software cost estimations are proposed by researchers. The COCOMO model makes employments of multilayer feedforward neural system while being actualized and prepared to utilize the perceptron learning algorithm. To test and prepare the system, the COCOMO dataset is actualized. Whatever result is generated from multilayer neural system is then compared with Kaushik [12]. This paper has the goal of creating the quantitative measure not only in the current model but also in our proposed model.
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Papers by Shaina Arora