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

Author:

Chandrika K.R.1,Amudha J.1

Affiliation:

1. Department of Computer Science and Engineering, Amrita University, Bengaluru, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference17 articles.

1. Aschwanden C. and Crosby M. , Code scanning patterns in program comprehension, In Proceedings of the 39th Hawaii International Conference on System Sciences (HICSS), Kauai, Hawaii 2006.

2. Bednarik R. and Tukiainen M. , Analysing and interpreting quantitative eye-tracking data in studies of programming: Phases of debugging with multiple representations, In Proceedings of the 19th Annual Workshop of the Psychology of Programming Interest Group (PPIG’07), 2007.

3. Binkley D. , Davis M. , Lawrie D. and Maletic J.I. , Christopher Morrell, and Bonita Sharif. The impact of identifier style on effort and comprehension. Empirical Software Engineering, 2013.

4. Busjahn T. , Schulte C. and Busjahn A. , Analysis of code reading to gain more insight in program comprehension, In Proceedings of the 11th Koli Calling International Conference on Computing Education Research, ACM (2011), pp. 1–9.

5. Chandrika K.R. and Amudha J. , An eye tracking study to understand the visual perception behavior while source code comprehension, In Proceedings of the Second International Conference on Sustainable Computing Techniques in Engineering, Science and Management, 2017.

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