39 citations · 157 across the 32 of their papers we have counts for
5 papers · 1 filter
Large Language Models for Test-Free Fault Localization
Aidan Z. H. Yang, Ruben Martins, Claire Le Goues +1
Fault Localization (FL) aims to automatically localize buggy lines of code, a key first step in many manual and automatic debugging tasks. Previous FL techniques assume the provisi…
CAT-LM: Training Language Models on Aligned Code And Tests
Nikitha Rao, Kush Jain, Uri Alon +2
Testing is an integral part of the software development process. Yet, writing tests is time-consuming and therefore often neglected. Classical test generation tools such as EvoSuit…
Contextual Predictive Mutation Testing
Kush Jain, Uri Alon, Alex Groce +1
Mutation testing is a powerful technique for assessing and improving test suite quality that artificially introduces bugs and checks whether the test suites catch them. However, it…
PreciseBugCollector: Extensible, Executable and Precise Bug-fix Collection
He Ye, Zimin Chen, Claire Le Goues
Bug datasets are vital for enabling deep learning techniques to address software maintenance tasks related to bugs. However, existing bug datasets suffer from precise and scale lim…
MELT: Mining Effective Lightweight Transformations from Pull Requests
Daniel Ramos, Hailie Mitchell, Inês Lynce +3
Software developers often struggle to update APIs, leading to manual, time-consuming, and error-prone processes. We introduce MELT, a new approach that generates lightweight API mi…