利用动态分析进行建筑气味检测的初步研究

Ilaria Pigazzini, D. D. Nucci, F. Fontana, Marco Belotti
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引用次数: 0

摘要

架构异常,也称为架构气味,代表了对设计原则或决策的违反,这些原则或决策影响了内部软件质量,对维护、发展成本和技术债务产生了重大的负面影响。如果尽早消除体系结构气味,将对减少可能的渐进式体系结构侵蚀和体系结构债务产生总体影响。已经提出了一些工具来检测它们,利用不同的方法,通常只基于静态分析。这项工作分析了如何利用动态分析来检测架构气味。我们专注于两种气味,类中心依赖和循环依赖,并且我们扩展了集成动态分析的现有工具。我们对十个项目进行了实证研究。我们将动态分析方法与仅基于静态分析的Arcan原始版本的结果进行比较,以了解动态分析是否可以成功地使用。结果表明,动态分析有助于识别缺失的体系结构气味实例,尽管它的使用受到缺乏适合此范围的测试套件的阻碍。
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Exploiting dynamic analysis for architectural smell detection: a preliminary study
Architectural anomalies, also known as architectural smells, represent the violation of design principles or decisions that impact internal software qualities with significant negative effects on maintenance, evolution costs and technical debt. Architectural smells, if early removed, have an overall impact on reducing a possible progressive architectural erosion and architectural debt. Some tools have been proposed for their detection, exploiting different methods, usually based only on static analysis. This work analyzes how dynamic analysis can be exploited to detect architectural smells. We focus on two smells, Hub-Like Dependency and Cyclic Dependency, and we extend an existing tool integrating dynamic analysis. We conduct an empirical study on ten projects. We compare the results obtained comparing a method featuring dynamic analysis and the original version of Arcan based only on static analysis to understand if dynamic analysis can be successfully used. The results show that dynamic analysis helps identify missing architectural smells instances, although its usage is hindered by the lack of test suites suitable for this scope.
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