Search Results for author:
Found 4 papers, 2 papers with code
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Machine learning-based program analysis methods use variable name representations for a wide range of tasks, such as suggesting new variable names and bug detection.
Learning to Superoptimize Real-world Programs
We also report that SILO's rate of superoptimization on our test set is over five times that of a standard policy gradient approach and a model pre-trained on compiler optimization demonstration.
A Study on the Challenges of Using Robotics Simulators for Testing
We find that simulation is used by 85% of our participants for testing, and that many participants desire to use simulation as part of their test automation.
Robotics Software Engineering
Effectiveness of Anonymization in Double-Blind Review
Double-blind review relies on the authors' ability and willingness to effectively anonymize their submissions.
Digital Libraries General Literature Software Engineering
