Publication Type : Journal Article
Publisher : Journal of Intelligent & Fuzzy Systems, IOS Press,
Source : Journal of Intelligent & Fuzzy Systems, IOS Press, Volume 34, Issue 3, p.1743 - 1754 (2018)
Url : https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs169467
Keywords : code coverage, debugging, Eye Tracking, Recommendation system, skills, Software engineering, source cod review
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2018
Abstract : A quality software development is inclined to the software developer skills. The research focus on recommending the skills of individuals based on the eye movement data. The paper sketches a study conducted on students who are future developers. A fuzzy based recommendation system was implemented to recommend two skills, code coverage and debugging skills that are primary in source code review. The code coverage inference system recommends individual code coverage as maximum, average and minimum and the debugging fuzzy inference system recommends debugging skills as skilled, unskilled and expert.
Cite this Research Publication : K. R. Chandrika and Amudha J., “A fuzzy inference system to recommend skills for source code review using eye movement data”, Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1743 - 1754, 2018.