  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.
