汽车行业基于模型的自动化软件测试用例覆盖最大化的控制实验

2017 IEEE International Conference on Software Testing, Verification and Validation (ICST) Pub Date : 2017-03-01 DOI:10.1109/ICST.2017.65

R. Darwish, Lynnie Nakyanzi Gwosuta, R. Torkar

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引用次数: 5

摘要

在汽车工业中，随着电子控制单元(ecu)的复杂性的增加，需要创建有助于早期测试以确保功能的模型，但是关于如何编写这些测试以实现最大覆盖的指导很少。我们的原型CANoe+建立在CANoe和GraphWalker工具之上，从软件开发人员和软件测试人员的角度出发，根据生成的测试用例的覆盖最大化，对CANoe进行了评估。

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A Controlled Experiment on Coverage Maximization of Automated Model-Based Software Test Cases in the Automotive Industry

In the automotive industry, as the complexity of electronic control units (ECUs) increase, there is a need for the creation of models that facilitate early tests to ensure functionality, but there is little guidance on how to write these tests in order to achieve maximum coverage. Our prototype CANoe+, which builds on the CANoe and GraphWalker tools, was evaluated against CANoe with regard to coverage maximization of generated test cases from the viewpoint of both software developers and software testers.

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2017 IEEE International Conference on Software Testing, Verification and Validation (ICST)

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