research
∙
08/10/2023
A Preliminary Evaluation of LLM-Based Fault Localization
Large Language Models (LLMs) have shown a surprising level of performanc...
share
research
∙
06/08/2023
Towards Autonomous Testing Agents via Conversational Large Language Models
Software testing is an important part of the development cycle, yet it r...
research
∙
04/19/2023
Towards Objective-Tailored Genetic Improvement Through Large Language Models
While Genetic Improvement (GI) is a useful paradigm to improve functiona...
research
∙
04/05/2023
Explainable Automated Debugging via Large Language Model-driven Scientific Debugging
Automated debugging techniques have the potential to reduce developer ef...
research
∙
12/28/2022
A Bayesian Framework for Automated Debugging
Debugging takes up a significant portion of developer time. As a result,...
research
∙
09/23/2022
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction
Many automated test generation techniques have been developed to aid dev...
research
∙
04/14/2022
GLAD: Neural Predicate Synthesis to Repair Omission Faults
Existing template and learning-based APR tools have successfully found p...
research
∙
05/19/2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
The testing of Deep Neural Networks (DNNs) has become increasingly impor...
research
∙
12/28/2019
Search Based Repair of Deep Neural Networks
Deep Neural Networks (DNNs) are being adopted in various domains, includ...
research
∙
11/13/2018
