首页> 外文会议>IEEE International Conference on Software Testing, Verification and Validation Workshops >Automatic Test Generation for Energy Consumption of Embedded Systems Modeled in EAST-ADL
【24h】

Automatic Test Generation for Energy Consumption of Embedded Systems Modeled in EAST-ADL

机译:以EAST-ADL为模型的嵌入式系统能耗自动测试生成

获取原文

摘要

Testing using architectural design models is intended to determine if the realized system meets its specification, and works as a whole in terms of computational components and their interactions. The growing complexity of embedded systems requires new techniques that are able to support testing of extra-functional requirements, like energy usage of components and systems, which is very necessary in order to obtain valid implementations. In this paper, we show how architectural models described in the EAST-ADL architectural language can also be used for testing the energy consumption of embedded systems, after transforming them into networks of formal models called priced timed automata. Assuming an EAST-ADL model annotated with energy consumption information, we show how to automatically generate energy-aware test cases based on statistical model checking (SMC) of the resulting network of priced timed automata. We automate the generation of executable test cases with UPPAAL SMC, using a test strategy based on several random simulation runs of the system. By seeding the original formal model with a set of energy-consumption related faults, we are able to carry out fault detection analysis. We apply this technique on a Brake-by-Wire system from the automotive domain, and evaluate it in terms of efficiency and model fault detection.
机译:使用体系结构设计模型的测试旨在确定所实现的系统是否符合其规格,并在计算组件及其交互方面作为一个整体起作用。嵌入式系统日益复杂的需求要求新技术能够支持对超功能需求的测试,例如组件和系统的能耗,这对于获得有效的实现是非常必要的。在本文中,我们展示了将EAST-ADL体系结构语言中描述的体系结构模型转换为称为定时定价自动机的形式化模型网络后,还如何将其用于测试嵌入式系统的能耗。假设以能源消耗信息作为注释的EAST-ADL模型,我们展示了如何基于定价定时自动机网络的统计模型检查(SMC)自动生成能源感知测试用例。我们使用基于系统几次随机模拟运行的测试策略,使用UPPAAL SMC自动生成可执行测试用例。通过为原始形式化模型植入一组与能耗相关的故障,我们可以进行故障检测分析。我们将此技术应用于汽车领域的线控制动系统,并根据效率和模型故障检测对其进行评估。

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