377 citations · 818 across the 21 of their papers we have counts for
5 papers · 1 filter
Aroma: Code Recommendation via Structural Code Search
Sifei Luan, Di Yang, Celeste Barnaby +2
Programmers often write code that has similarity to existing code written somewhere. A tool that could help programmers to search such similar code would be immensely useful. Such…
Semantic Fuzzing with Zest
Rohan Padhye, Caroline Lemieux, Koushik Sen +2
Programs expecting structured inputs often consist of both a syntactic analysis stage, which parses raw input, and a semantic analysis stage, which conducts checks on the parsed in…
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts
Rohan Bavishi, Michael Pradel, Koushik Sen
Most of the JavaScript code deployed in the wild has been minified, a process in which identifier names are replaced with short, arbitrary and meaningless names. Minified code occu…
DeepBugs: A Learning Approach to Name-based Bug Detection
Michael Pradel, Koushik Sen
Natural language elements in source code, e.g., the names of variables and functions, convey useful information. However, most existing bug detection tools ignore this information…
Selecting Fault Revealing Mutants
Thierry Titcheu Chekam, Mike Papadakis, Tegawendé Bissyandé +2
Mutant selection refers to the problem of choosing, among a large number of mutants, the (few) ones that should be used by the testers. In view of this, we investigate the problem…