A model-driven approach to aspect mining

被引：0
作者：
Department of Computer Science, Laboratory of Computer Science, University Badji Mokhtar of Annaba, B.P. 12, Annaba , Algeria [1 ]
不详 [2 ]
机构：
[1] Department of Computer Science, Laboratory of Computer Science, University Badji Mokhtar of Annaba, Annaba (23000)
[2] Institute of Computer Science, University of Philadelphia
来源：
Inf. Technol. J. | 2006年 / 3卷 / 573-576期
关键词：
Aspect mining; Aspect oriented programming; Crosscutting concern; Program analysis; Programming plan;
D O I：
10.3923/itj.2006.573.576
中图分类号：
学科分类号：
摘要：
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 existing (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. © 2006 Asian Network for Scientific Information.
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页码：573 / 576
页数：3
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