组件感知触发场景

Ivo Krka, N. Medvidović
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引用次数: 10

摘要

用例场景,以及诸如UML序列图之类的符号,被广泛用于指定软件系统行为。尽管是直观的,但这些符号允许工程师指定具有意想不到的语义副作用的行为。为了解决这些不一致,有一类语言的目标是用于表达系统反应性行为的触发场景规范。然而,这些语言缺乏足够的工具来对单个系统组件的预期行为进行建模。这样做有牺牲组件行为建模所需的表达能力、误解涉众意图和错误指定组件行为的风险。当需求规格说明和软件架构规格说明被迭代地并行地细化时,风险尤其突出。为了解决这些问题,我们提出了组件感知触发场景(cat),这是对触发场景语言的增强,允许工程师在场景中定义组件的义务。我们已经形式化了ccaTSats的语法和语义,并将cats应用于一个现实世界的案例研究,这表明与现有的替代方法相比,cats的准确性和简明性得到了提高。
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Component-Aware Triggered Scenarios
Use-case scenarios, with notations such as UML sequence diagrams, are widely used to specify software system behavior. Although intuitive, these notations allow engineers to specify behaviors with unintended semantic side-effects. To address these inconsistencies, one class of languages targets triggered scenario specifications for expressing a system's reactive behaviors. However, these languages lack adequate facilities for modeling the intended behavior of the individual system components. This runs the risks of sacrificing the expressive power required to model component behaviors, misinterpreting the stakeholder intent, and misspecifying the component behaviors. The risks are particularly prominent when the requirements specification and software architecture specification are refined iteratively and in parallel. To remedy these problems, we propose component-aware Triggered Scenarios (caTS), an enhancement to triggered scenario languages that allows an engineer to define components' obligations within a scenario. We have formalized the syntax and semantics of ccaTSats, and have applied cats on a real-world case study, which suggests improved accuracy and conciseness of caTS in comparison to existing alternatives.
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