Predicting Code Comprehension: A Novel Approach to Align Human Gaze with Code using Deep Neural Networks

The better the code quality and the less complex the code, the easier it is for software developers to comprehend and evolve it. Yet, how do we best detect quality concerns in the code? Existing measures to assess code quality, such as McCabe’s cyclomatic complexity, are decades old and neglect the...

Full description

Bibliographic Details

Published in:	Proceedings of the ACM on software engineering Vol. 1; no. FSE; pp. 1982 - 2004
Main Authors:	Alakmeh, Tarek, Reich, David, Jäger, Lena, Fritz, Thomas
Format:	Journal Article
Language:	English
Published:	New York, NY, USA ACM 12.07.2024
Subjects:	Computing methodologies Empirical software validation Human-centered computing Laboratory experiments Neural networks Software and its engineering lab experiment code-fixation attention eye-tracking code comprehension neural networks
ISSN:	2994-970X, 2994-970X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!