Software Cost Estimation using Single Layer Artificial Neural Network

Shaina Arora, Nidhi Mishra

Software Cost Estimation, COCOMO, Artificial Neural Network, Feed Forward Neural Network, Magnitude Relative Error.

The most challenging task of software project management is the cost estimation. Cost estimation is to accurately 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 size of the software product to be produced, estimation of the effort required, 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. The COCOMO model makes employments of single layer feed forward neural system while being actualized and prepared to utilize the perceptron learning algorithm. To test and prepare the system the COCOMO dataset is actualized. This paper has the goal of creating the quantitative measure in not only the current model but also in our proposed model.

10.22161/ijaers.4.9.6