DocumentCode
2430637
Title
Mining aspectual views using formal concept analysis
Author
Tourwé, Tom ; Mens, Kim
Author_Institution
Centrum voor Wiskunde en Informatica, Amsterdam, Netherlands
fYear
2004
fDate
15-16 Sept. 2004
Firstpage
97
Lastpage
106
Abstract
We report upon an initial experiment using the technique of formal concept analysis for mining aspectual views from the source code. An aspectual view is a set of source code entities, such as class hierarchies, classes and methods that are structurally related in some way, and often crosscut a particular application. Initially, we follow a lightweight approach, where we only consider the names of classes and methods. This simplistic technique already results in the discovery of interesting and meaningful aspectual views, leaving us confident that more complex approaches will perform even better, and merit to be studied in the future.
Keywords
data mining; object-oriented programming; source coding; aspectual view mining; formal concept analysis; source code; Code standards; Conferences; IEEE entities; Software maintenance; Software systems; Standards development;
fLanguage
English
Publisher
ieee
Conference_Titel
Source Code Analysis and Manipulation, 2004. Fourth IEEE International Workshop on
Print_ISBN
0-7695-2144-4
Type
conf
DOI
10.1109/SCAM.2004.15
Filename
1386163
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