A visual analytics architecture for the analysis and understanding of software systems

Antonio Gonzalez-Torres, José Navas-Sú, Marco Hernández-Vasquez, F. Hernández-Castro, Jennier Solano-Cordero
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引用次数: 3

Abstract

Visual analytics facilitates the creation of knowledge to interpret trends and relationships for better decision making. However, it has not being used widely for the understanding of software systems and the change process that takes place during their development and maintenance. This occurs despite the need of project managers and developers to analyze their systems to calculate the complexity, cohesion, direct, indirect and logical coupling, detect clones, defects and bad smells, and the comparison of individual revisions. This research considers the design of an extensible and scalable architecture to incorporate new and existing methods to retrieve source code from different versioning systems, to carry out the analysis of programs in different languages, to perform the calculation of software metrics and to present the results using visual representations, incorporated as Eclipse and Visual Studio extensions. Consequently, the aim of this work is to design a visual analytics architecture for the analysis and understanding of systems in different languages and its main contributions are the specification of the design and requirements of such architecture, taking as base the lessons learned in Maleku (A. González-Torres et al., 2016).
用于分析和理解软件系统的可视化分析体系结构
可视化分析促进了知识的创造,以解释趋势和关系,从而更好地做出决策。然而,它并没有被广泛用于理解软件系统以及在开发和维护期间发生的变更过程。尽管项目经理和开发人员需要分析他们的系统来计算复杂性、内聚性、直接、间接和逻辑耦合、检测克隆、缺陷和不良气味,以及对单个修订的比较,但这种情况还是会发生。本研究考虑了可扩展和可伸缩架构的设计,以结合新的和现有的方法,从不同的版本控制系统中检索源代码,以不同的语言进行程序分析,执行软件度量的计算,并使用可视化表示来呈现结果,合并为Eclipse和visual Studio扩展。因此,这项工作的目的是设计一个可视化的分析架构,用于分析和理解不同语言的系统,其主要贡献是这种架构的设计和需求的规范,以Maleku的经验教训为基础(a . González-Torres等人,2016)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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