SPLASH 2021 (series) / Student Research Competition /
Source Code Authorship Attribution using File Embeddings
The problem of source code authorship attribution is crucial for a few reasons. Security and legal issues are the most popular ones. However, this domain could also help to understand the nature of the personal code style. This type of information could be used, for instance, by IDEs to improve the developer's experience of writing the code.
The goal of this study is to construct an interpretable model for source code embeddings generation. Such embeddings should represent the correspondence between the source code and its author.
Wed 20 OctDisplayed time zone: Central Time (US & Canada) change
Wed 20 Oct
Displayed time zone: Central Time (US & Canada) change
Thu 21 OctDisplayed time zone: Central Time (US & Canada) change
Thu 21 Oct
Displayed time zone: Central Time (US & Canada) change
13:50 - 15:10 | TalksStudent Research Competition at Zurich E Talks to be selected in the poster session on Wednesday. | ||
13:50 80mPoster | Towards Decidable and Expressive DOT Student Research Competition Sophia Roshal Cornell University; Carnegie Mellon University DOI | ||
13:51 79mPoster | Source Code Authorship Attribution using File Embeddings Student Research Competition Alina Bogdanova Innopolis University DOI | ||
13:52 78mPoster | Programming-by-Example by Programming-by-Example: Synthesis of Looping Programs Student Research Competition Shmuel Berman Columbia University DOI | ||
13:53 77mPoster | Edgeworth: Authoring Diagrammatic Math Problems using Program Mutation Student Research Competition Hwei-Shin Harriman Olin College of Engineering; Carnegie Mellon University DOI | ||
13:54 76mPoster | A Study of Call Graph Effectiveness for Framework-Based Web Applications Student Research Competition Madhurima Chakraborty University of California at Riverside DOI | ||
13:55 75mPoster | Run-Time Data Analysis to Drive Compiler Optimizations Student Research Competition Sebastian Kloibhofer JKU Linz DOI | ||
13:56 74mPoster | Run-Time Data Analysis in Dynamic Runtimes Student Research Competition Lukas Makor JKU Linz DOI |