2019
Lu, Chien
But Do Commit Messages Matter? An Empirical Association Analysis with Technical Debt Proceedings Article
In: Saarimäki, Nyyti; Lenarduzzi, Valentina; Taibi, Davide (Ed.): CEUR Workshop Proceedings, pp. 45-53, CEUR-WS, 2019, ISSN: 1613-0073.
Abstract | Links | Tags: Commit messages, Technical debt, Text mining
@inproceedings{Lu2019,
title = {But Do Commit Messages Matter? An Empirical Association Analysis with Technical Debt},
author = {Chien Lu},
editor = {Nyyti Saarimäki and Valentina Lenarduzzi and Davide Taibi},
url = {https://urn.fi/URN:NBN:fi:tuni-202002132060},
issn = {1613-0073},
year = {2019},
date = {2019-12-17},
booktitle = {CEUR Workshop Proceedings},
volume = {2520},
pages = {45-53},
publisher = {CEUR-WS},
abstract = {An empirical analysis is conducted to investigate the association of the content of commit messages and technical debt. The analysis is based on 33 open-source Apache JAVA projects. Structural Topic Modelling, a recently developed text mining technique is employed for sophisticated analysis. The result shows that the certain content of commit messages such as empty messages are potentially associated with Technical Debt.},
keywords = {Commit messages, Technical debt, Text mining},
pubstate = {published},
tppubtype = {inproceedings}
}
An empirical analysis is conducted to investigate the association of the content of commit messages and technical debt. The analysis is based on 33 open-source Apache JAVA projects. Structural Topic Modelling, a recently developed text mining technique is employed for sophisticated analysis. The result shows that the certain content of commit messages such as empty messages are potentially associated with Technical Debt.
