A fuzzy inference system to recommend skills for source code review using eye movement data

Issue title: Special Section: Soft Computing and Intelligent Systems: Techniques and Applications

Guest editors: Sabu M. Thampi, El-Sayed M. El-Alfy, Sushmita Mitra and Ljiljana Trajkovic

Article type: Research Article

Authors: Chandrika, K.R.^{; *} | Amudha, J.

Affiliations: Department of Computer Science and Engineering, Amrita University, Bengaluru, India

Correspondence: [*] Corresponding author. K.R. Chandrika, Department of Computer Science and Engineering, Amrita University, Bengaluru, India. E-mail: [email protected].

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.

Keywords: Software engineering, recommendation system, eye tracking, source cod review, code coverage, debugging, skills

DOI: 10.3233/JIFS-169467

Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1743-1754, 2018