A Survey of Automated Code-Level Aspect Mining Techniques

by: Andy Kellens, Kim Mens, Paolo Tonella

Transactions on Aspect-Oriented Software Development IV (2007), pp. 143-162.

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摘要

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 program’s 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.

@incollection{citeulike:2785800, 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 program’s 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.}, author = {Kellens, Andy and Mens, Kim and Tonella, Paolo }, citeulike-article-id = {2785800}, doi = {http://dx.doi.org/10.1007/978-3-540-77042-8\_6}, journal = {Transactions on Aspect-Oriented Software Development IV}, keywords = {aspect-mining}, pages = {143--162}, posted-at = {2008-06-21 17:26:23}, priority = {2}, title = {A Survey of Automated Code-Level Aspect Mining Techniques}, url = {http://dx.doi.org/10.1007/978-3-540-77042-8\_6}, year = {2007} }

RIS record

TY - CHAP ID - citeulike:2785800 L3 - citeulike-article-id:2785800 N2 - 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 program’s 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. JF - Transactions on Aspect-Oriented Software Development IV EP - 162 TI - A Survey of Automated Code-Level Aspect Mining Techniques SP - 143 KW - aspect-mining AU - Kellens, Andy AU - Mens, Kim AU - Tonella, Paolo PY - 2007/// UR - http://dx.doi.org/10.1007/978-3-540-77042-8_6 ER -

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