Developing Automatic Methods for Teaching Code Quality in Introductory Programming
| Authors | |
|---|---|
| Year of publication | 2024 |
| Type | Article in Proceedings |
| Conference | 29th Conference Innovation and Technology in Computer Science Education, ITiCSE 2024 |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.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. |
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