Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24744
Title: MSR4SM: Using topic models to effectively mining software repositories for software maintenance tasks
Authors: Sun, X
Li, B
Leung, H 
Li, B
Li, Y
Keywords: Empirical study
Mining software historical repositories
Software maintenance
Topic model
Issue Date: 2015
Publisher: Elsevier
Source: Information and software technology, 2015, v. 66, 5600, p. 1-12 How to cite?
Journal: Information and Software Technology 
Abstract: Abstract Context Mining software repositories has emerged as a research direction over the past decade, achieving substantial success in both research and practice to support various software maintenance tasks. Software repositories include bug repository, communication archives, source control repository, etc. When using these repositories to support software maintenance, inclusion of irrelevant information in each repository can lead to decreased effectiveness or even wrong results. Objective This article aims at selecting the relevant information from each of the repositories to improve effectiveness of software maintenance tasks. Method For a maintenance task at hand, maintainers need to implement the maintenance request on the current system. In this article, we propose an approach, MSR4SM, to extract the relevant information from each software repository based on the maintenance request and the current system. That is, if the information in a software repository is relevant to either the maintenance request or the current system, this information should be included to perform the current maintenance task. MSR4SM uses the topic model to extract the topics from these software repositories. Then, relevant information in each software repository is extracted based on the topics. Results MSR4SM is evaluated for two software maintenance tasks, feature location and change impact analysis, which are based on four subject systems, namely jEdit, ArgoUML, Rhino and KOffice. The empirical results show that the effectiveness of traditional software repositories based maintenance tasks can be greatly improved by MSR4SM. Conclusions There is a lot of irrelevant information in software repositories. Before we use them to implement a maintenance task at hand, we need to preprocess them. Then, the effectiveness of the software maintenance tasks can be improved.
URI: http://hdl.handle.net/10397/24744
ISSN: 0950-5849
DOI: 10.1016/j.infsof.2015.05.003
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

3
Last Week
0
Last month
0
Citations as of Jun 16, 2017

WEB OF SCIENCETM
Citations

3
Last Week
0
Last month
0
Citations as of Jun 15, 2017

Page view(s)

43
Last Week
3
Last month
Checked on Jun 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.