代码异常聚集何时代表体系结构问题?一项探索性研究

W. Oizumi, Alessandro F. Garcia, T. Colanzi, M. Ferreira, Arndt von Staa
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引用次数: 35

摘要

在软件行业的历史上,由于软件体系结构问题的存在,已经有几个项目被终止了。在实际的项目设置中,通常需要在源代码中识别此类问题,但这是一项耗时且具有挑战性的任务。一些作者认为,架构问题通过个别代码异常反映在源代码中。然而,每个体系结构问题都可能通过多个代码异常来实现,这些代码异常在几个程序元素中交织在一起。这些不同的代码异常及其对应的体系结构问题之间的关系很难揭示和描述。事实上,关于软件项目中代码异常聚集的表现以及它们何时对软件体系结构产生不利影响(或不产生不利影响)的知识很少。为了克服这一限制,我们建议研究大范围代码异常聚集对体系结构的影响。集聚是一组由于某种原因而相互关联的代码异常——例如,它们都影响程序中与语法相关的代码元素。在我们的研究中,我们总共分析了7个系统中的5418个代码异常和2229个聚集。我们观察到,架构问题更多地反映为异常聚集,而不是源代码中的单个异常。更重要的是,我们还揭示了代码异常聚集何时是(或不是)架构问题的良好指示器。例如,我们的研究结果表明,代码异常聚集的某些拓扑是比其他拓扑更好的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When Code-Anomaly Agglomerations Represent Architectural Problems? An Exploratory Study
Several projects have been discontinued in the history of the software industry due to the presence of software architecture problems. The identification of such problems in source code is often required in real project settings, but it is a time-consuming and challenging task. Some authors assume that architectural problems are reflected in source code through individual code anomalies. However, each architectural problem may be realized by multiple code anomalies, which are intertwined in several program elements. The relationships of these various code anomalies and their architecture problems' counterparts are hard to reveal and characterize. In fact, there is little knowledge about the manifestation of code-anomaly agglomerations in software projects and when they adversely impact (or not) the software architecture. To overcome this limitation, we propose studying the architecture impact of a wide range of code-anomaly agglomerations. An agglomeration is a group of code anomalies that are related to each other for some reason - e.g. all of them affect syntactically-related code elements in the program. In our study, we analyzed a total of 5418 code anomalies and 2229 agglomerations within 7 systems. We observed that architectural problems are much more often reflected as anomaly agglomerations rather than individual anomalies in the source code. More importantly, we also revealed when code-anomaly agglomerations were (or not) good indicators of architectural problems. For instance, the result of our study suggests that certain topologies of code-anomaly agglomerations are better indicators than others.
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