Abstract
Efficient development of software requires accurate estimates. It is unlikely to expect very accurate estimates of software development effort because of the inherent uncertainty in software development projects and the complex and dynamic interaction of factors that impact software development. In this study, two analogy methods based on integration of Grey Relational Effort Analysis Technique using Robust Regression Methods with and without feature subset selection have been proposed. In the previous, Grey Relational based effort estimation studies, GRA is used to assess similarity between projects with m features and effort is estimated from k most similar projects. In the proposed methodologies, the effort of the reference project is estimated by applying regression techniques to k most similar projects obtained using GRA as the similarity metric. Empirical results obtained are statistically significant, indicating that the methodology has great potential and can be used as a candidate approach for software effort estimation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Computational Intelligence Studies
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
