Using Git Commit History for Change Prediction : An empirical study on the predictive potential of file-level logical coupling

Using Git Commit History for Change Prediction : An empirical study on the predictive potential of file-level logical coupling

In recent years, a new generation of distributed version control systems have taken the place of the aging centralized ones, with Git arguably being the most popular distributed system today. We investigate the potential of using Git commit history to predict files that are often changed together. S...

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Bibliographic Details
Main Author: Hagward, Anders
Format: Others
Language:English
Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2015
Subjects:
git
scm
data mining
machine learning
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172998

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172998

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