首页> 外文期刊>Journal of supercomputing >An event-based approach for formally verifying runtime adaptive real-time systems
【24h】

An event-based approach for formally verifying runtime adaptive real-time systems

机译:一种基于事件的方法,用于正式验证运行时自适应实时系统

获取原文
获取原文并翻译 | 示例

摘要

Real-time and embedded systems are required to adapt their behavior and structure to runtime unpredicted changes in order to maintain their feasibility and usefulness. These systems are generally more difficult to specify and verify owning to their execution complexity. Hence, ensuring the high-level design and the early verification of system adaptation at runtime is very crucial. However, existing runtime model-based approaches for adaptive real-time and embedded systems suffer from shortcoming linked to efficiently and correctly managing the adaptive system behavior, especially that a formal verification is not allowed by modeling languages such as UML and MARTE profile. Moreover, reasoning about the correctness and the precision of high-level models is a complex task without the appropriate tool support. In this work, we propose an MDE-based framework for the specification and the verification of runtime adaptive real-time and embedded systems. Our approach stands for Event-B method to formally verify resources behavior and real-time constraints. In fact, thanks to MDE M2T transformations, our proposal translates runtime models into Event-B specifications to ensure the correctness of runtime adaptive system properties, temporal constrains and nonfunctional properties using Rodin platform. A flood prediction system case study is adopted for the validation of our proposal.
机译:需要实时和嵌入式系统来使其行为和结构适应运行时运行,以保持其可行性和有用性。这些系统通常更难以指定和验证其执行复杂性。因此,确保高级设计和在运行时对系统适应的早期验证非常至关重要。然而,基于运行时模型的自适应实时和嵌入式系统的方法遭受了有效和正确管理自适应系统行为的缺点,特别是通过UML和MARTE配置文件等建模语言不允许进行正式验证。此外,在没有适当的工具支持的情况下,对高级模型的正确性和精度的推理是一个复杂的任务。在这项工作中,我们提出了一种基于MDE的框架,用于规范和运行时自适应实时和嵌入式系统的验证。我们的方法代表了事件-B方法,可以正式验证资源行为和实时约束。事实上,由于MDE M2T转换,我们的提议将运行时模型转化为事件-B规范,以确保运行时自适应系统属性的正确性,使用Rodin平台的时间限制和非功能性质。采用洪水预测系统案例研究验证我们的提案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号