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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: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:在当今的汽车行业中分布在多个电子控制单元(ECU)系统软件模块中分布的汽车嵌入式软件功能的集成测试是当今汽车行业中的复杂和具有挑战性的任务。它们既不具有无限资源,也不有时间对这些功能进行详尽的测试。另一方面,基于测试人员经验的执行Ad-Hoc选择的传统方法通常会导致测试差距和测试冗余。在这里,我们通过提出增强过程的验证策略来解决这一挑战,以便在汽车系统软件测试中识别和减轻这种差距和冗余。这有助于通过为函数的集成测试进行更多数据驱动的决策,帮助提高测试覆盖范围。该战略是在涉及多个数据收集步骤的瑞典汽车公司的案例研究中进行制定。在静态验证拟议策略之后,在一个分布式汽车软件功能,燃油级显示,并发现既可行且有效。

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