基于时间模型的Simulink模型变异算子
Timed Model-Based Mutation Operators for Simulink Models
摘要：
基于模型的突变分析是最近的研究领域，实时系统测试可以受益于使用模型突变。基于模型的变异测试（MBMT）是基于模型测试的一个特殊分支。它使用变异算子生成模型的错误版本，以评估和改进测试用例。变异测试是保证软件正确性的一种有效方法，已被应用到各个应用领域。Simulink是一种重要的实时系统建模语言。本文介绍了Simulink模型突变分析，以改善模型在环（MIL）测试。提出了一组基于AUTOSAR的Simulink变异算子，该算子反映了Simulink模型映射到操作系统任务时的时间正确性。我们实现了一个突变框架，产生隐式时钟Simulink模型的突变体。最后，我们展示了这个框架如何产生突变体，以揭示模拟中的任务干扰问题。我们的工作集成了Simulink模型与定时系统，以更好地支持突变测试自动化。
英文摘要：
Model-based mutation analysis is a recent research area, and real-time system testing can benefit from using model mutants. Model-based mutation testing (MBMT) is a particular branch of model-based testing. It generates faulty versions of a model using mutation operators to evaluate and improve test cases. Mutation testing is an effective way to ensure software correctness and has been applied to various application areas. Simulink is a vital modeling language for real-time systems. This paper introduces Simulink model mutation analysis to improve Model-in-the-loop (MIL) testing. We propose a set of Simulink mutation operators based on AUTOSAR, which reflects the temporal correctness when a Simulink model is mapped to Operating System tasks. We implement a mutation framework that generates mutants for implicit clock Simulink models. Finally, we demonstrate how this framework generates mutants to reveal task interference issues in the simulation. Our work integrates the Simulink model with the timed systems to better support mutation testing automation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
