A Survey of Automated Code-level Aspect Mining Techniques
(2007) Transactions on Aspect-Oiented Software Development (Special issue on Software Evolution) — Vol. LNCS 4640, n° IV, p. 143-162 (2007)
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- Authors
- 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.
- Affiliations
Vrije Universiteit Brussel Programming Technology Lab Centro per la Ricerca Scientifica e Tecnologica Via Sommarive,Trento, Italy ITC-irst
Citations
Kellens, A., Mens, K., & Tonella, P. (2007). A Survey of Automated Code-level Aspect Mining Techniques. Transactions on Aspect-Oiented Software Development (Special issue on Software Evolution), LNCS 4640(IV), 143-162. https://doi.org/10.1007/978-3-540-77042-8_6 (Original work published 2007)