A Survey of Automated Code-Level Aspect Mining Techniques

Authors
Andy Kellens, Kim Mens, Paolo Tonella
Tags
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Title
A Survey of Automated Code-Level Aspect Mining Techniques
Authors
Andy Kellens, Kim Mens, Paolo Tonella
 AspectMiningSurvey.pdf Δ   557Kb   19 Oct 2011
Type
Article
Journal
Transactions on Aspect-Oriented Software Development (TAOSD)
Volume
IV (Special Issue on Software Evolution)
Pages
143-162
Year
2007
Note
Lecture Notes in Computer Science 4640

Abstract

This paper offers a first, in-breadth survey and comparison of current aspect mining tools and techniques. It focuses mainly on automated techniques that mine a programís static or dynamic structure for candidate aspects. We present an initial comparative framework for distinguishing aspect mining techniques, and assess known techniques against this framework. The results of this assessment may serve as a roadmap to potential users of aspect mining techniques, to help them in selecting an appropriate technique. It also helps aspect mining researchers to identify remaining open research questions, possible avenues for future research, and interesting combinations of existing techniques.

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BibTeX Record
  @article{RELEASeD-2007-236162,
    title = {A Survey of Automated Code-Level Aspect Mining Techniques},
    author = {Andy Kellens and Kim Mens and Paolo Tonella},
    year = {2007},
    journal = {Transactions on Aspect-Oriented Software Development (TAOSD)},
    volume = {IV (Special Issue on Software Evolution)},
    pages =  {143-162},
    note = {Lecture Notes in Computer Science 4640},
  }