Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Modeling Changeset Topics

Authors: Christopher S. Corley; Kelly L. Kashuda; Daniel S. May; Nicholas A. Kraft;

Modeling Changeset Topics

Abstract

Topic modeling has been applied to several areas of software engineering, such as bug localization, feature location, triaging change requests, and traceability link recovery. Many of these approaches combine mining unstructured data, such as bug reports, with topic modeling a snapshot (or release) of source code. However, source code evolves, which causes models to become obsolete. In this paper, we explore the approach of topic modeling changesets over the traditional release approach. We conduct an exploratory study of four open source systems. We investigate the differences in corpora in each project, and evaluate the topic distinctness of the models.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!