DocumentCode
2167434
Title
Filtered mining in program code repositories
Author
Taibi, Fathi
Author_Institution
Fac. of Inf. Technol., Univ. of Manage. & Technol., Malaysia
fYear
2012
fDate
13-15 March 2012
Firstpage
264
Lastpage
267
Abstract
An approach to automatically mine program code repositories in order to support software reuse is proposed in this paper. Code attributes and structural relationships are used to find and rank the potential elements based on a given query. Static program analysis is used to allow a filtered mining through three well-established metrics that have a direct impact on code quality. The approach has been empirically evaluated and the results obtained were promising.
Keywords
data mining; program diagnostics; software metrics; software quality; software reusability; code attributes; code quality; filtered mining; metrics; potential elements; program code repositories; software reuse; static program analysis; structural relationships; Accuracy; Complexity theory; Data mining; Measurement; Software engineering; Software reusability; Mining Source Code Repositories; Program Comprehension; Software Metrics; Software Reuse; Static Program Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-1091-8
Type
conf
DOI
10.1109/InfRKM.2012.6204986
Filename
6204986
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