Edwin Dauber
ABSTRACT
Program authorship attribution has implications for the privacy of programmers who wish to contribute code anonymously. While previous work has shown that complete files that are individually authored can be attributed, these efforts have focused on ideal data sets such as the Google Code Jam data. We explore the problem of attribution "in the wild," examining source code obtained from open source version control systems, and investigate if and how such contributions can be attributed to their authors, either individually or on a per-account basis. In this work we show that accounts belonging to open source contributors containing short, incomplete, and typically uncompilable fragments can be effectively attributed.
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Digital Library
- Steven Burrows. 2010. Source code authorship attribution. Ph.D. Dissertation. RMIT University.Google Scholar
- Aylin Caliskan-Islam, Richard Harang, Andrew Liu, Arvind Narayanan, Clare Voss, Fabian Yamaguchi, and Rachel Greenstadt. 2015. De-anonymizing programmers via code stylometry. In 24th USENIX Security Symposium (USENIX Security 15). 255--270. Google ScholarDigital Library
- Fabian Yamaguchi, Nico Golde, Daniel Arp, and Konrad Rieck. 2014. Modeling and Discovering Vulnerabilities with Code Property Graphs. In Proc. of IEEE Symposium on Security and Privacy (S&P). Google ScholarDigital Library
Index Terms
- Git blame who?: stylistic authorship attribution of small, incomplete source code fragments
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