Mining Semantic Loop Idioms from Big Code
Tailored Mutants Fit Bugs Better
Learning Continuous Semantic Representations of Symbolic Expressions
A Convolutional Attention Network for Extreme Summarization of Source Code
Suggesting Accurate Method and Class Names
Bimodal Modelling of Source Code and Natural Language
Learning Natural Coding Conventions
Mining Idioms from Source Code
Autofolding for Source Code Summarization
Mining source code repositories at massive scale using language modeling
Why, when, and what: analyzing stack overflow questions by topic, type, and code.
Evolution of a location-based online social network: analysis and models.
Effective Rule-Based Multi-label Classification with Learning Classifier Systems.