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A Model-driven Approach to Aspect Mining


Article Information

Title: A Model-driven Approach to Aspect Mining

Authors: Bounour . Nora, Ghoul . Said

Journal: Information Technology Journal

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Publisher: Asian Network for Scientific Information (ANSInet)

Country: Pakistan

Year: 2006

Volume: 5

Issue: 3

Language: English

DOI: 10.3923/itj.2006.573.576

Keywords: Aspect oriented programmingprogramming plancrosscutting concernprogram analysisaspect mining

Categories

Abstract

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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