Author: Schreiber, A.; Sonnekalb, T.; Heinze, T. S.; von Kurnatowski, L.; Gonzalez-Barahona, J. M.; Packer, H.
Title: Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps Cord-id: fvhqsq7h Document date: 2021_1_1
ID: fvhqsq7h
Snippet: Software repositories contain information about source code, software development processes, and team interactions. We combine the provenance of development processes with code security analysis results to provide fast feedback on the software’s design and security issues. Results from queries of the provenance graph drives the security analysis, which are conducted on certain events—such as commits or pull requests by external contributors. We evaluate our method on Open Source projects tha
Document: Software repositories contain information about source code, software development processes, and team interactions. We combine the provenance of development processes with code security analysis results to provide fast feedback on the software’s design and security issues. Results from queries of the provenance graph drives the security analysis, which are conducted on certain events—such as commits or pull requests by external contributors. We evaluate our method on Open Source projects that are developed under time pressure and use Germany’s COVID-19 contact tracing app ‘Corona-Warn-App’ as a case study. © 2021, Springer Nature Switzerland AG.
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