Untangling Composite Commits Using Program Slicing

Onderzoeksoutput: Conference paper

3 Citaten (Scopus)
104 Downloads (Pure)

Samenvatting

Composite commits are a common mistake in the use of version control software.
A composite commit groups many unrelated tasks,
rendering the commit difficult for developers to understand, revert, or integrate
and for empirical researchers to analyse.
We propose an algorithmic foundation for tool support to identify such composite commits.
Our algorithm computes both a program dependence graph and
the changes to the abstract syntax tree for the files that have been changed in a commit.
Our algorithm then groups these fine-grained changes according to the slices through the dependence graph they belong to.
To evaluate our technique, we analyse and refine an established dataset of Java commits, the results of which we also make available.
We find that our algorithm can determine whether or not a commit is composite.
For the majority of commits, this analysis takes but a few seconds.
The parts of a commit that our algorithm identifies do not map directly to the commit's tasks.
The parts tend to be smaller, but stay within their respective tasks.
Originele taal-2English
TitelProceedings - 18th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2018
UitgeverijIEEE
Pagina's193-202
Aantal pagina's10
ISBN van elektronische versie978-1-5386-8290-6
ISBN van geprinte versie 978-1-5386-8291-3
DOI's
StatusPublished - 9 nov 2018
Evenement18th IEEE International Working Conference on Source Code Analysis and Manipulation - Madrid, Spain, Madrid, Spain
Duur: 23 sep 201824 sep 2018
Congresnummer: 18
http://www.ieee-scam.org/2018/

Conference

Conference18th IEEE International Working Conference on Source Code Analysis and Manipulation
Verkorte titelSCAM
LandSpain
StadMadrid
Periode23/09/1824/09/18
Internet adres

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