Analysis of cost estimation using the web metrics and cost driver in the high performance of web developers

Abstract

In recent years, many researchers and software industries have given significant attention to the estimation of software effort. Software effort estimation is a challenge that often appears in the project of making software. To address this issue, various software expansion cost estimations have been familiarized. A basic traditional method for cost estimation is the Constructive Cost Model II (COCOMO II Model), which generates huge gradations of substantiality. The proposed COCOMO II model employs cost drivers, measures and the streak of programmes to predict the energy and the growth period of a web rise. However, the model is still lacking in terms of accuracy in effort and development time estimation. In this study, we do investigate the influence of components and attributes to achieve new better accuracy improvement on the COCOMO II model. The NASA93 dataset is used to test the suggested methodology. The system has outperformed earlier investigations and arrangements capable of imperfect data input, and further advancements in the reliability of the estimated technique.