Generating visualization-based analysis scenarios from maintenance task descriptions

Salima Hassaine, Karim Dhambri, H. Sahraoui, Pierre Poulin
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引用次数: 10

Abstract

Software visualization is an efficient and flexible tool to inspect and analyze software data at various levels of detail. However, software analysts typically do not have a sufficient background in visualization and cognitive science to select efficient representations and parameters without the help of visualization experts. To overcome this problem, we propose an approach to generate software analysis tasks that use visualization. To this end, we use taxonomies of low-level analytic tasks, high-level interactive tasks, and perceptual rules to design an assistant that proposes analysis scenarios.
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根据维护任务描述生成基于可视化的分析场景
软件可视化是一种高效而灵活的工具,可以在不同的细节层次上检查和分析软件数据。然而,如果没有可视化专家的帮助,软件分析师通常没有足够的可视化和认知科学背景来选择有效的表示和参数。为了克服这个问题,我们提出了一种使用可视化来生成软件分析任务的方法。为此,我们使用低级分析任务、高级交互任务和感知规则的分类法来设计一个提出分析场景的助手。
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