Development of a script to aggregate document inspection comments across different platforms to GitHub in a software development PBL

This study regards inspections conducted in project-based learning (PBL) for software development as learning feedback. To solve the problem that inspection comments are distributed separately across platforms, which is an obstacle to classification of comments, we develop a script, Comment Gatherer...

Full description

Saved in:
Bibliographic Details
Published in2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) pp. 191 - 192
Main Authors Sato, Oh, Hazeyama, Atsuo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2023
Subjects
Aggregates
Document Inspection
Figma
GitHub
Inspection
Machine learning
Software
Software development management
Software engineering
Software Engineering Education
Online AccessGet full text

Cover

More Information
Summary:This study regards inspections conducted in project-based learning (PBL) for software development as learning feedback. To solve the problem that inspection comments are distributed separately across platforms, which is an obstacle to classification of comments, we develop a script, Comment Gatherer, which aggregates inspection comments between GitHub and Figma. Then, we describe the concept of a support application that enables the automatic classification of inspection comments by machine learning.
ISSN:2377-570X
DOI:10.1109/CSEET58097.2023.00042