MSR 2020
Mon 29 - Tue 30 June 2020
co-located with ICSE 2020
Tue 30 Jun 2020 14:12 - 14:24 at MSR:Zoom - ML4SE Chair(s): Kevin Moran

Automatic source code analysis in key areas of software engineering, such as code security, can benefit from Machine Learning (ML). However, many standard ML approaches require a numeric representation of data and cannot be applied directly to source code. Thus, to enable ML, we need to embed source code into numeric feature vectors while maintaining the semantics of the code as much as possible. code2vec is a recently released embedding approach that uses the proxy task of method name prediction to map Java methods to feature vectors. However, experimentation with code2vec shows that it learns to rely on variable names for prediction, causing it to be easily fooled by typos or adversarial attacks. Moreover, it is only able to embed individual Java methods and cannot embed an entire collection of methods such as those present in a typical Java class, making it difficult to perform predictions at the class level (e.g., for the identification of malicious Java classes). Both shortcomings are addressed in the research presented in this paper. We investigate the effect of obfuscating variable names during training of a code2vec model to force it to rely on the structure of the code rather than specific names and consider a simple approach to creating class-level embeddings by aggregating sets of method embeddings. Our results, obtained on a challenging new collection of source-code classification problems, indicate that obfuscating variable names produces an embedding model that is both impervious to variable naming and more accurately reflects code semantics. The datasets, models, and code are shared for further ML research on source code.

Tue 30 Jun
Times are displayed in time zone: (UTC) Coordinated Universal Time change

14:00 - 15:00: ML4SETechnical Papers / Registered Reports / Keynote / MSR Awards / FOSS Award / Education / Data Showcase / Mining Challenge / MSR Challenge Proposals / Ask Me Anything at MSR:Zoom
Chair(s): Kevin MoranWilliam & Mary/George Mason University

Q/A & Discussion of Session Papers over Zoom (Joining info available on Slack)

14:00 - 14:12
Live Q&A
Technical Papers
Chen YangVeracode, Inc., Andrew SantosaVeracode, Inc., Ang Ming Yi, Abhishek Sharma Singapore Management University, Singapore, Asankhaya SharmaVeracode, Inc., David LoSingapore Management University
Pre-print Media Attached
14:12 - 14:24
Live Q&A
Technical Papers
Rhys ComptonUniversity of Waikato, Eibe FrankDepartment of Computer Science, University of Waikato, Panos Patros, Abigail KoayUniversity of Waikato
DOI Pre-print Media Attached
14:24 - 14:36
Live Q&A
Technical Papers
Abdulkarim KhormiFlorida State University, USA - Jazan University, KSA, Mohammad AlahmadiFlorida State University, Sonia HaiducFlorida State University
Pre-print Media Attached
14:36 - 14:48
Live Q&A
Technical Papers
Gustavo PintoUFPA, Breno MirandaFederal University of Pernambuco, Supun DissanayakeThe University of Adelaide, Marcelo d'AmorimFederal University of Pernambuco, Christoph TreudeThe University of Adelaide, Antonia BertolinoCNR-ISTI
Pre-print Media Attached
14:48 - 15:00
Live Q&A
Technical Papers
Sakib HaqueUniversity of Notre Dame, Alexander LeClairUniversity Of Notre Dame, Lingfei WuIBM Research, Collin McMillanUniversity of Notre Dame
Pre-print Media Attached