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  • 标题:A Formal Model for Partitioning Based Aspect Mining.
  • 本地全文:下载
  • 作者:Grigoreta S. (Moldovan) Cojocar ; Gabriela Serban
  • 期刊名称:INFOCOMP
  • 印刷版ISSN:1807-4545
  • 出版年度:2007
  • 卷号:6
  • 期号:3
  • 页码:19-26
  • 出版社:Federal University of Lavras
  • 摘要:Separation of concerns is a very important principle of software engineering that, in its most general form, refers to the ability to identify, encapsulate and manipulate those parts of a software system that are relevant to a particular concept, goal, or purpose. Aspect Oriented Programming provides means to encapsulate concerns which cannot be modularized using traditional programming techniques. These concerns are called crosscutting concerns. Aspect Mining is a research direction that tries to identify crosscutting concerns in legacy systems. The aim of this paper is to introduce a new formal model for partitioning based aspect mining. Such a model was not defined in the literature, yet. The applicability of the proposed formal model is studied on three different aspect mining techniques.
  • 关键词:formal model, aspect mining, partitioning.
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