A dataset of open-source safety-critical software
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Abstract
We describe the method used to create a dataset of open-source safety-critical software, such as that used for autonomous cars, healthcare, and autonomous aviation, through a systematic and rigorous selection process. The dataset can be used for empirical studies regarding the quality assessment of safety-critical software, its dependencies, and its development process, as well as comparative studies considering software from other domains.