Skip to main content area
FLOSShub
free/libre and open source software research resources
About
News
Announcements
CFPs
Conferences
Workshops
Resources
Data
Discussion lists
Educational materials
Papers
Tools
Websites
Feeds
Forums
Search form
Search
Tag cloud
source code
sourceforge
developers
email
open source
cvs
apache
scm
eclipse
linux
mailing list
open source software
More tags
You are here
Home
Latent Dirichlet allocation
Studying software evolution using topic models
Submitted by
msquire
on Thu, 2014-12-04 17:14
S. W. Thomas
,
Adams, B.
,
Hassan, A. E.
, and
Blostein, D.
,
“
Studying software evolution using topic models
”
,
Science of Computer Programming
, vol. 80, pp. 457–479, 2014.
Taxonomy upgrade extras:
software evolution
mining software repositories
topic model
Latent Dirichlet allocation
Read more
about Studying software evolution using topic models
Log in
or
register
to post comments
Google Scholar
BibTeX
Tagged
EndNote XML
Recent Publications
Managing Hidden Dependencies in OO Software: a Study Based on Open Source Projects
Open Source Communities as Liminal Ecosystems
Investigating developers' email discussions during decision-making in Python language evolution
Developers, Quality Control and Download Volume in Open Source Software (OSS) Projects
More...
FLOSS Project Planets
Drupal Starshot blog: Callout for a new design system for Experience Builder and Drupal CMS
ImageX: AI in Drupal: Latest Demos of the Incredible Capabilities
mark.ie: LocalGov Drupal (LGD): A Digital Public Good Transforming Government Services
Real Python: How to Reset a pandas DataFrame Index
Julien Tayon: The crudest CRUD of them all : the smallest CRUD possible in 150 lines of python
More
FLOSS Research
ClearlyDefined at SOSS Fusion 2024: a collaborative solution to Open Source license compliance
The Open Source Initiative Announces the Release of the Industry’s First Open Source AI Definition
ClearlyDefined’s Steering and Outreach Committees Defined
Rahmat Akintola: Voices of the Open Source AI Definition
How we passed the AI conundrums
More