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Title: A Model-driven Approach to Aspect Mining
Authors: Bounour . Nora, Ghoul . Said
Journal: Information Technology Journal
Publisher: Asian Network for Scientific Information (ANSInet)
Country: Pakistan
Year: 2006
Volume: 5
Issue: 3
Language: English
Keywords: Aspect oriented programmingprogramming plancrosscutting concernprogram analysisaspect mining
Aspect mining aims to identify crosscutting concerns in legacy systems. The code implementing a crosscutting concern is often spread over many different parts of an application. Identifying such code automatically greatly improves the maintainability of the application and enables migration of exsisting (object-oriented) programs to aspect oriented ones. In this study, we present a model driven approach for aspect mining, which automatically identifies desirable candidates concerns, without requiring input from the user. The aspect miner acts as a model transformer converting the program model to a concern-oriented model. This model is more abstract and it is constructed by using a concern library. The concern library give concern descriptions in terms of plans.
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