Abstract
Today, embedded systems across industrial domains (e.g., avionics, automotive) are representatives of software-intensive systems with increasing reliance on software and growing complexity. It has become critically important to verify software in a time, resource and cost effective manner. Furthermore, industrial domains are striving to comply with the requirements of relevant safety standards. This paper proposes a novel workflow along with tool support to evaluate robustness of software in model-based development environment, assuming different abstraction levels of representing software. We then show the effectiveness of our technique, on a brake-by-wire application, by performing back-to-back fault injection testing between two different abstraction levels using MODIFI for the Simulink model and GOOFI-2 for the generated code running on the target microcontroller. Our proposed method and tool support facilitates not only verifying software during early phases of the development lifecycle but also fulfilling back-to-back testing requirements of ISO 26262 [1] when using model-based development.
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Acknowledgements
We would like to thank Daniel Skarin for valuable input to the proposed workflow and for his work with the implementation of the BBW application for GOOFI-2. We would also like to thank Fredrik Bernin and Johan Haraldsson from Volvo AB for their support with the BBW application model and code generation. This work was partly funded by the ARTEMIS Joint Undertaking research project VeTeSS under grant agreement no. 295311 and the national research project BeSafe funded by Vinnova (Swedish Governmental Agency for Innovation Systems) within the Vehicle Development Program (Diary number: 2010-02114).
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Folkesson, P., Ayatolahi, F., Sangchoolie, B., Vinter, J., Islam, M., Karlsson, J. (2015). Back-to-Back Fault Injection Testing in Model-Based Development. In: Koornneef, F., van Gulijk, C. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2014. Lecture Notes in Computer Science(), vol 9337. Springer, Cham. https://doi.org/10.1007/978-3-319-24255-2_11
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