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Found 3 papers, 1 papers with code
CENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse
When we applied CENTRIS on 10, 241 widely-employed GitHub projects, comprising 229, 326 versions and 80 billion lines of code, we observed that modified OSS reuse is a norm in software development, occurring 20 times more frequently than exact reuse.
Software Engineering Cryptography and Security
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks
Our experimental results using source codes demonstrate that our proposed model is capable of accurately detecting simple buffer overruns.
Synthesizing Imperative Programs from Examples Guided by Static Analysis
We have implemented our algorithm in a tool, called SIMPL, and evaluated it on 30 problems used in introductory programming courses.
