Rejuvenate Pointcut: A Tool for Pointcut Expression Recovery in Evolving Aspect-Oriented Software

Raffi Khatchadourian, A. Rashid
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引用次数: 3

Abstract

Aspect-oriented programming (AOP) strives to localize the scattered and tangled implementations of crosscutting concerns (CCCs) by allowing developers to declare that certain actions (advice) should be taken at specific points (join points) during the execution of software where a CCC (an aspect) is applicable. However, it is non-trivial to construct optimal pointcut expressions (a collection of join points) that capture the true intentions of the programmer and, upon evolution, maintain these intentions. We demonstrate an AspectJ source-level inferencing tool called rejuvenate pointcut which helps developers maintain pointcut expressions over the lifetime of a software product. A key insight into the tool's construction is that the problem of maintaining pointcut expressions bears strong similarity to the requirements traceability problem in software engineering; hence, the underlying algorithm was devised by adapting existing approaches for requirements traceability to pointcut maintenance. The Eclipse IDE-based tool identifies intention graph patterns pertaining to a pointcut and, based on these patterns, uncovers other potential join points that may fall within the scope of the pointcut with a given confidence. This work represents a significant step towards providing tool-supported maintainability for evolving aspect-oriented software.
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复兴切入点:面向方面软件发展中的切入点表达式恢复工具
面向方面编程(AOP)通过允许开发人员声明某些操作(建议)应该在适用于CCC(方面)的软件执行过程中的特定点(连接点)执行,从而努力将横切关注点(CCC)的分散和纠缠的实现本地化。然而,构造最优的切入点表达式(连接点的集合)是非常重要的,它可以捕获程序员的真实意图,并在发展过程中维护这些意图。我们演示了一个AspectJ源级推理工具,称为rejuvenate切入点,它可以帮助开发人员在软件产品的整个生命周期中维护切入点表达式。对工具构造的一个关键洞察是,维护切入点表达式的问题与软件工程中的需求可追溯性问题非常相似;因此,底层算法是通过将现有的需求跟踪方法适应于切入点维护而设计的。基于Eclipse ide的工具识别与切入点相关的意图图模式,并基于这些模式,揭示可能在给定置信度的切入点范围内的其他潜在连接点。这项工作代表了为不断发展的面向方面的软件提供工具支持的可维护性的重要一步。
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