Case Study on Software Effort Estimation
Keywords:
Desharnais dataset, linear regression, software effort estimation.Abstract
Since most of the projects encounter effort
overruns, effort estimation is one of the most important
estimates of software projects during software development. There are several software effort estimation methodologies in the literature. However, instead of proposing a novel effort estimation methodology finding the necessary attributes that
affects the software effort estimation is an also important contribution. This study focuses on analyzing the necessity of these attributes. We apply linear regression technique to investigate relation between these attributes. Lastly we evaluate our prediction performance with using Magnitude of Relative
Error (MRE), Mean Magnitude of Relative Error (MMRE),
Median Magnitude of Relative Error (MdMRE), MSE (Mean Square Error) and Prediction Quality (pred(e)). In order to conduct case study we used the Desharnais (77 projects) dataset from the publicly available PROMISE software engineering repository. Results show that the attribute “PointsNonAdjust” is the most necessary attribute in order to estimate software effort.
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