面向方面程序中错误的推理:基于度量的评估

Rachel Burrows, François Taïani, Alessandro F. Garcia, F. Ferrari
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引用次数: 14

摘要

面向方面编程(AOP)的目的是在横切关注点存在的情况下促进程序的理解和维护。随着软件项目的发展,方面代码经常被引入和扩展。不幸的是,我们仍然对在不断发展的面向方面的程序中如何引入错误缺乏很好的理解。更重要的是,在发展面向方面的代码中,现有的度量是否与典型的故障引入过程相关的知识很少。本文从几个方面对维修任务中如何引入故障进行了探索性研究。结果表明在此上下文中出现了一组反复出现的错误模式,这可以更好地为AOP的未来度量设计提供信息。我们还精确指出aop特定的故障类别,这些类别很难用常见的故障倾向度量来检测,例如耦合和代码混乱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reasoning about Faults in Aspect-Oriented Programs: A Metrics-Based Evaluation
Aspect-oriented programming (AOP) aims at facilitating program comprehension and maintenance in the presence of crosscutting concerns. Aspect code is often introduced and extended as the software projects evolve. Unfortunately, we still lack a good understanding of how faults are introduced in evolving aspect-oriented programs. More importantly, there is little knowledge whether existing metrics are related to typical fault introduction processes in evolving aspect-oriented code. This paper presents an exploratory study focused on the analysis of how faults are introduced during maintenance tasks involving aspects. The results indicate a recurring set of fault patterns in this context, which can better inform the design of future metrics for AOP. We also pinpoint AOP-specific fault categories which are difficult to detect with popular metrics for fault-proneness, such as coupling and code churn.
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