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Author Kagdi, Huzefa ♦ Collard, Michael L. ♦ Maletic, Jonathan I.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Survey ♦ Taxonomy ♦ Mining software repositories
Abstract Source code version repositories provide a treasure of information encompassing the changes introduced in the system throughout its evolution. These repositories are typically managed by tools such as CVS. However, these tools identify and express changes in terms of physical attributes i.e., file and line numbers. Recently, to help support the mining of software repositories (MSR), researchers have proposed methods to derive and express changes from source code repositories in a more source-code "aware" manner (i.e., syntax and semantic). Here, we discuss these MSR techniques in light of what changes are identified, how they are expressed, the adopted methodology, evaluation, and results. This work forms the basis for a taxonomic description of MSR approaches.
Description Affiliation: Kent State University, Kent Ohio (Kagdi, Huzefa; Collard, Michael L.; Maletic, Jonathan I.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1979-04-01
Publisher Place New York
Journal ACM SIGSOFT Software Engineering Notes (SOEN)
Volume Number 30
Issue Number 4
Page Count 5
Starting Page 1
Ending Page 5

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Source: ACM Digital Library