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
Link To Document :
بازگشت