Abstract
Learning to develop code of good quality is challenging. One way to improve code quality is through code refactoring. Students make several mistakes when refactoring code. This research project aims to comprehend student errors in code refactoring, as well as to evaluate how the use of automated tools can help students remediate these errors.
Original language | English |
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Title of host publication | ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education |
Place of Publication | New York, NY, USA |
Publisher | Association for Computing Machinery |
Pages | 605–606 |
Number of pages | 2 |
ISBN (Electronic) | 9798400701399 |
ISBN (Print) | 9798400701399 |
DOIs | |
Publication status | Published - 29 Jun 2023 |
Publication series
Name | Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE |
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Volume | 2 |
ISSN (Print) | 1942-647X |
Bibliographical note
Publisher Copyright:© 2023 Owner/Author.
Keywords
- refactoring tools
- code quality
- code refactoring
- refactoring misconceptions
- student refactoring errors
- programming education