DocumentCode
2333344
Title
Toward a metrics suite for source code lexicons
Author
Biggers, Lauren R. ; Eddy, Brian P. ; Kraft, Nicholas A. ; Etzkorn, Letha H.
Author_Institution
Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
fYear
2011
fDate
25-30 Sept. 2011
Firstpage
492
Lastpage
495
Abstract
In this paper we present an empirical study of relationships between three source code lexicons: the identifier, comment, and literal lexicons. We conjecture that shared and unique properties of these lexicons for the given subject system can inform the configuration of a source code retrieval technique for a particular software understanding activity or software evolution task. Thus, we seek to discover these lexicon properties, and so we investigate five lexicon measures that consider term frequency, term density, and term provenance.
Keywords
information retrieval; software metrics; literal lexicon; metrics suite; software evolution task; software understanding activity; source code lexicon; source code retrieval technique; term frequency; term provenance; Correlation; Density measurement; Indexes; Software measurement; Software systems; software lexicon; software metrics; text retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Maintenance (ICSM), 2011 27th IEEE International Conference on
Conference_Location
Williamsburg, VI
ISSN
1063-6773
Print_ISBN
978-1-4577-0663-9
Electronic_ISBN
1063-6773
Type
conf
DOI
10.1109/ICSM.2011.6080816
Filename
6080816
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