方面挖掘通过形式化的概念分析执行轨迹

P. Tonella, M. Ceccato
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引用次数: 218

摘要

横切关注点的存在,例如,在实现中没有分配给单个模块单元的功能,是软件理解和发展中的主要问题之一。事实上,它们很难定位(散射),并可能产生多重涟漪效应(缠结)。面向方面的编程提供了将它们分解成一个称为方面的模块化单元的机制。通过动态代码分析,支持现有代码中的方面识别。为执行给定应用程序的主要功能的用例生成执行跟踪。执行轨迹和执行的计算单元(类方法)之间的关系是概念分析的对象。在生成的晶格中,通过确定特定于用例的概念并检查其特定的计算单元来检测潜在的方面。当这些方面来自多个模块(类),这些模块(类)构成多个用例时,就会识别出一个候选方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aspect mining through the formal concept analysis of execution traces
The presence of crosscutting concerns, i.e., functionalities that are not assigned to a single modular unit in the implementation, is one of the major problems in software understanding and evolution. In fact, they are hard to locate (scattering) and may give rise to multiple ripple effects (tangling). Aspect oriented programming offers mechanisms to factor them out into a modular unit, called an aspect. Aspect identification in existing code is supported by means of dynamic code analysis. Execution traces are generated for the use cases that exercise the main functionalities of the given application. The relationship between execution traces and executed computational units (class methods) is subjected to concept analysis. In the resulting lattice, potential aspects are detected by determining the use-case specific concepts and examining their specific computational units. When these come from multiple modules (classes) which contribute to multiple use-cases, a candidate aspect is recognized.
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