Introducing Code Quality in the CS1 Classroom Show others and affiliations
2024 (English) In: Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education, vol 2, ITiCSE 2024, Association for Computing Machinery (ACM), 2024, Vol. 2, p. 773-774Conference paper, Published paper (Refereed)
Abstract [en]
Characterising code quality is a challenge that was addressed by Börstler et al.’s working group in 2017. As emerged from their study, educators, developers and students have different perceptions of the manifold aspects involved, and a major conclusion of that WG was that “code quality should be discussed more thoroughly in educational programs” [2, p. 70]. However, the lack of materials and the time constraints have slowed down progress in that regard. The goal of this working group is to propose manageable ways to address code quality in the CS1 classroom, with a particular focus on activities that help students become aware of and improve the quality of their code. To achieve this goal, we will (a) extract from the literature a comprehensive set of quality issues which will then be classified according to the appropriate strategies to fix them; and (b) circulate a survey to explore the instructors’ views on code quality issues and the way they deal with (or ignore) them. Based on this work we aim to produce: (1) a taxonomy of code quality issues with associated examples, as well as (2) a sample set of teaching materials to introduce those issues to CS1 students. © 2024 Copyright held by the owner/author(s)
Place, publisher, year, edition, pages Association for Computing Machinery (ACM), 2024. Vol. 2, p. 773-774
Series
Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, ISSN 1942647X
Keywords [en]
code quality, CS1, readability, refactoring, style, Address code, Classifieds, Educational program, Quality issues, Refactorings, Time constraints, Working groups, Students
National Category
Educational Sciences Software Engineering
Identifiers URN: urn:nbn:se:bth-26773 DOI: 10.1145/3649405.3659535 ISI: 001265872800010 Scopus ID: 2-s2.0-85198638608 ISBN: 9798400706035 (print) OAI: oai:DiVA.org:bth-26773 DiVA, id: diva2:1887734
Conference 29th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2024, Milan, July 8-10 2024
2024-08-092024-08-092025-02-18 Bibliographically approved