一种基于可配置形式语义的轨迹自动推理工具

Ferhat Erata, Arda Goknil, B. Tekinerdogan, G. Kardas
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引用次数: 5

摘要

我们介绍了Tarski,一个用于指定可配置跟踪语义的工具,以促进对跟踪的自动推理。软件开发项目需要在开发工件之间和内部对各种类型的跟踪进行建模。对于任何给定的工件(例如,需求、体系结构模型和源代码),Tarski允许用户指定新的跟踪类型及其可配置语义,同时,使用语义,它根据用户提供的现有跟踪自动推断新的跟踪,并检查跟踪的一致性。它已经在汽车领域的三个工业案例研究中进行了评估(https://modelwriter.github.io/Tarski/)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A tool for automated reasoning about traces based on configurable formal semantics
We present Tarski, a tool for specifying configurable trace semantics to facilitate automated reasoning about traces. Software development projects require that various types of traces be modeled between and within development artifacts. For any given artifact (e.g., requirements, architecture models and source code), Tarski allows the user to specify new trace types and their configurable semantics, while, using the semantics, it automatically infers new traces based on existing traces provided by the user, and checks the consistency of traces. It has been evaluated on three industrial case studies in the automotive domain (https://modelwriter.github.io/Tarski/).
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