With the recent success of embeddings in natural language processing, research has been conducted into applying similar methods to code analysis. Most works attempt to process the code directly or use a syntactic tree representation, treating it like sentences written in a natural language. However, none of the existing methods are sufficient to comprehend program semantics robustly, due to structural features such as function calls, branching, and interchangeable order of statements.
At the seminar, we will discuss a novel processing technique to learn code semantics, and apply it to a variety of program analysis tasks. Following this hypothesis, we define an embedding space, inst2vec, based on an Intermediate Representation (IR) of the code that is independent of the source programming language.
Speaker: Aleksei Shpilman.
Presentation language: Russian.
Date and time: January 23rd, 20:00-21:30.
Location: Times, room 405.