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An Effective Verification Strategy for Testing Distributed Automotive Embedded Software Functions: A Case Study

机译:测试分布式汽车嵌入式软件功能的有效验证策略:一个案例研究

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Integration testing of automotive embedded software functions that are distributed across several Electronic Control Unit (ECU) system software modules is a complex and challenging task in today's automotive industry. They neither have infinite resources, nor have the time to carry out exhaustive testing of these functions. On the other hand, the traditional approach of implementing an ad-hoc selection of test scenarios based on the testers' experience typically leads to both test gaps and test redundancies. Here, we address this challenge by proposing a verification strategy that enhances the process in order to identify and mitigate such gaps and redundancies in automotive system software testing. This helps increase test coverage by taking more data-driven decisions for integration testing of the functions. The strategy was developed in a case study at a Swedish automotive company that involved multiple data collection steps. After static validation of the proposed strategy it was evaluated on one distributed automotive software function, the Fuel Level Display, and found to be both feasible and effective.
机译:分布在多个电子控制单元(ECU)系统软件模块中的汽车嵌入式软件功能的集成测试在当今的汽车行业中是一项复杂而具有挑战性的任务。他们既没有资源,也没有时间对这些功能进行详尽的测试。另一方面,基于测试人员的经验来临时选择测试方案的传统方法通常会导致测试差距和测试冗余。在这里,我们通过提出一种验证策略来应对这一挑战,该策略可以增强流程,以识别和缓解汽车系统软件测试中的此类差距和冗余。通过为功能集成测试制定更多的数据驱动决策,这有助于增加测试覆盖率。该策略是在一家瑞典汽车公司的案例研究中开发的,该案例研究涉及多个数据收集步骤。在对所提出的策略进行静态验证之后,对它在一种分布式汽车软件功能“油位显示”上进行了评估,发现既可行又有效。

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