Jan Eberhardt
Staff Software Engineer @ Snyk
Zürich, Switzerland
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Jan is one of the lead engineers and top contributors of the Snyk Code Static analysis engine. He brings more than half a decade of experience in scaling static analysis to big organisations and massive codebases. His main interest are making static analysis blazing fast and combining static analysis and machine learning techniques.
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Unsupervised learning of API Aliasing Specifications
Real world applications make heavy use of powerful libraries and frameworks, posing a significant challenge for static analysis as the library implementation may be very complex or unavailable. Thus, obtaining specifications that summarize the behaviors of the library is important as it enables static analyzers to precisely track the effects of APIs on the client program, without requiring the actual API implementation.
PLDI research paper presentation.
https://pldi19.sigplan.org/details/pldi-2019-papers/19/Unsupervised-Learning-of-API-Aliasing-Specifications
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