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Titlebook: Computer Safety,Reliability, and Security. SAFECOMP 2022 Workshops; DECSoS, DepDevOps, S Mario Trapp,Erwin Schoitsch,Friedemann Bitsch Conf

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https://doi.org/10.1007/978-1-4020-6431-9ubstantial degradation of the image can be detected by automatic or interactive prevention techniques. However, sparse pixel defects may have a significant impact on the dependability of safety-critical systems, especially autonomous driving vehicles. Such perturbations can limit the perception capa
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https://doi.org/10.1007/978-1-4020-6431-9 against cyberattacks. Automobile manufacturers should ensure their vehicle’s cybersecurity, considering the UNECE regulation for road vehicle approval. Estimating risk severity is critical in this domain for specifying appropriate security mechanisms to address existing cyber risks. To have an accu
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https://doi.org/10.1007/978-1-4020-6431-9re tool qualification. The goal of software tool qualification is to ensure that none of the used software tools (compilers, code generators, etc.) is introducing a safety-related malfunctional behavior. Therefore, for each tool a so-called tool confidence level (TCL) is determined, and based on thi
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President Barack Obama and Racial Politicsadding the functionality. DevOps development principles support such kind of continuous deployment. However, safety-critical products shall fulfill safety standards. In addition, it is impossible to show that a new or updated functionality is safe without considering the entire system. We introduce
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Sharon Wright Austin,Danielle Kings to demonstrate the compliance of systems. However, this is handled mainly in a static fashion, and using these models for dynamic evidence checking along the system life-cycle, including operation (checking the model at runtime), is not yet mainstream. This preliminary work shows a tool-supported
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