Mining Aspectual Views using Formal Concept Analysis

Authors
Tom Tourw, Kim Mens
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Title
Mining Aspectual Views using Formal Concept Analysis
Authors
Tom Tourw, Kim Mens
Type
In Proceedings
Book title
SCAM'04: Proceedings of the Source Code Analysis and Manipulation, Fourth IEEE International Workshop on (SCAM'04)
Pages
97-106
Publisher
IEEE Computer Society
Year
2004

Abstract

In this paper, 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.

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BibTeX Record
  @inproceedings{RELEASeD-2004-659592,
    title = {Mining Aspectual Views using Formal Concept Analysis},
    author = {Tom Tourw and Kim Mens},
    year = {2004},
    pages =  {97-106},
    booktitle = {SCAM'04: Proceedings of the Source Code Analysis and Manipulation, Fourth IEEE International Workshop on (SCAM'04)},
    publisher = {IEEE Computer Society},
  }