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...

Celý popis

Podrobná bibliografie

Vydáno v:	Proceedings of the ACM on software engineering Ročník 1; číslo FSE; s. 1982 - 2004
Hlavní autoři:	Alakmeh, Tarek, Reich, David, Jäger, Lena, Fritz, Thomas
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY, USA ACM 12.07.2024
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!