Developing Automatic Methods for Teaching Code Quality in Introductory Programming

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Authors	ŘECHTÁČKOVÁ Anna
Year of publication	2024
Type	Article in Proceedings
Conference	29th Conference Innovation and Technology in Computer Science Education, ITiCSE 2024
MU Faculty or unit	Faculty of Informatics
Citation
Doi	https://doi.org/10.1145/3649405.3659536
Keywords	automated feedback; code quality; novice programmers; Python; teaching
Description	Teaching code quality through manual code reviews scales poorly. Existing automated tools still miss relevant code quality defects and not all defects they report are relevant; they are also sometimes hard to adopt. The goal of my dissertation will be to identify relevant defects, develop new precise detectors for them and integrate those into an open-source automatic tool. This will improve the quality and availability of automatic code quality feedback.
Related projects:	Using artificial intelligence techniques for data processing, complex analysis and visualization of large-scale data