49 citations · 126 across the 10 of their papers we have counts for
7 papers · 1 filter
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan +1
Software testing is a crucial but time-consuming aspect of software development, and recently, Large Language Models (LLMs) have gained popularity for automated test case generatio…
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan +1
Software testing is a crucial aspect of software development, and the creation of high-quality tests that adhere to best practices is essential for effective maintenance. Recently,…
InferFix: End-to-End Program Repair with LLMs
Matthew Jin, Syed Shahriar, Michele Tufano +4
Software development life cycle is profoundly influenced by bugs: their introduction, identification, and eventual resolution account for a significant portion of software cost. Th…
Exploring and Evaluating Personalized Models for Code Generation
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy +3
Large Transformer models achieved the state-of-the-art status for Natural Language Understanding tasks and are increasingly becoming the baseline model architecture for modeling so…
Methods2Test: A dataset of focal methods mapped to test cases
Michele Tufano, Shao Kun Deng, Neel Sundaresan +1
Unit testing is an essential part of the software development process, which helps to identify issues with source code in early stages of development and prevent regressions. Machi…
ReACC: A Retrieval-Augmented Code Completion Framework
Shuai Lu, Nan Duan, Hojae Han +3
Code completion, which aims to predict the following code token(s) according to the code context, can improve the productivity of software development. Recent work has proved that…