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08/29/2023
Large Language Models in Fault Localisation
Large Language Models (LLMs) have shown promise in multiple software eng...
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08/25/2023
COCO: Testing Code Generation Systems via Concretized Instructions
Code generation systems have been extensively developed in recent years ...
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08/05/2023
LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation
There has been a recent explosion of research on Large Language Models (...
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07/25/2023
An Empirical Study on Fairness Improvement with Multiple Protected Attributes
Existing research mostly improves the fairness of Machine Learning (ML) ...
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02/09/2023
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning
Prior studies have demonstrated the effectiveness of Deep Learning (DL) ...
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07/20/2022
Fairness Testing: A Comprehensive Survey and Analysis of Trends
Software systems are vulnerable to fairness bugs and frequently exhibit ...
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07/14/2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
This paper provides a comprehensive survey of bias mitigation methods fo...
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07/07/2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness
Software bias is an increasingly important operational concern for softw...
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10/13/2021
Leveraging Automated Unit Tests for Unsupervised Code Translation
With little to no parallel data available for programming languages, uns...
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10/07/2019
Automatic Testing and Improvement of Machine Translation
This paper presents TransRepair, a fully automatic approach for testing ...
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06/19/2019
Machine Learning Testing: Survey, Landscapes and Horizons
This paper provides a comprehensive survey of Machine Learning Testing (...
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05/24/2019
