Mining and classification of diverse crosscutting concerns

LATE@AOSD Pub Date : 2008-03-31 DOI:10.1145/1404953.1404955
M. U. Bhatti, Stéphane Ducasse
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引用次数: 1

Abstract

Crosscutting concerns appear in software system due to the inherent inadequacy of OOP mechanisms to capture them in suitable encapsulating units. This results in scattered and tangled code. One more form of scattering and tangling may result from the absence of OOP abstractions for domain entities of a software. These non-encapsulated domain entities end up scattered and tangled, appearing as crosscutting concerns in code. Aspect mining techniques automate the task of search for possible aspects in the code and falsely attribute all the crosscutting code to aspects even when these scattered concerns point to the absence of a domain abstraction. This paper discusses the application of aspect mining in the presence crosscutting code originating from the absence of aspects and OOP abstractions. A roadmap of a possible solution is provided to distinguish these two types of code scattering.
挖掘和分类不同的横切关注点
横切关注点之所以出现在软件系统中,是因为OOP机制固有的不足,无法用合适的封装单元捕获它们。这将导致代码的分散和混乱。另一种形式的分散和纠缠可能是由于缺乏面向对象抽象的软件领域实体造成的。这些未封装的域实体最终变得分散和纠结,在代码中表现为横切关注点。方面挖掘技术自动执行搜索代码中可能的方面的任务,并错误地将所有横切代码归因于方面,即使这些分散的关注点指向缺乏领域抽象。本文讨论了方面挖掘在由于缺乏方面和面向对象抽象而产生的横切代码中的应用。本文提供了一个可能解决方案的路线图来区分这两种类型的代码散射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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