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Computer Science > Software Engineering

arXiv:2311.09727 (cs)
[Submitted on 16 Nov 2023]

Title:Analysis of Comments Given in Documents Inspection in Software Development PBL and Investigation of the Impact on Students

Authors:Oh Sato, Atsuo Hazeyama
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Abstract:This study considers inspection conducted in software development PBL as learning feedback and investigates the impact of each inspection comment on students. The authors have already collected most inspection comments for not only requirements specification but also UML diagrams on GitHub. The authors develop a tool that collects comments given in Figma to GitHub. We examine the impact on students of each classification of inspection comments based on the post-lesson questionnaire submitted by the students. Finally, we present the benefits that classification of inspection comments can bring to PBL and discuss automatic comment classification by machine learning enabled by text-based comments and the concept of software development PBL support application enabled by automatic classification of inspection comments.
Subjects: Software Engineering (cs.SE)
Cite as: arXiv:2311.09727 [cs.SE]
  (or arXiv:2311.09727v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2311.09727

Submission history

From: Oh Sato [view email]
[v1] Thu, 16 Nov 2023 09:57:58 UTC (1,682 KB)
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