An Empirical Approach for Estimation of the Software Development Effort

The number of standards and methods has been developed for software estimation in the last many decades. These methods help practitioners and engineers to estimate the effort accurately, but they found their inability to estimate software precisely. In this paper, an empirical approach is developed to measure the software development effort. The well-known PROMISE data sets of 217 projects are collected and the several performance factors are used in this paper to validate the estimated results. This work also considers the most popular model for software effort estimating, i.e. COCOMO. And the result of the COCOMO model and proposed an empirical approach is compared with the actual effort, and concludes that the proposed approach estimates the software development effort better than COCOMO in several aspects.