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Shin Yoo

University College London
H-index:39
Citation Count:8,053
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An empirical study of fault localisation techniques for deep neural networks

深度神经网络故障定位技术的一项实证研究

2025-06-100
OA
Explainable automated debugging via large language model-driven scientific debugging

通过大型语言模型驱动的科学调试实现可解释的自动调试

2024-12-180
OA
Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction

评估用于自动和一般错误再现的各种大型语言模型

2024-10-010
PRE
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders

欺骗人类和机器: 使用变分自编码器为dnn生成基于搜索的测试输入

2024-04-180
PRE
Learning test-mutant relationship for accurate fault localisation
2023-10-013
OAAI
Arachne: Search-Based Repair of Deep Neural Networks

Arachne: 基于搜索的深度神经网络修复

2023-05-2720
OA
Evaluating Surprise Adequacy for Deep Learning System Testing

评估深度学习系统测试的惊喜充分性

2023-03-2910
PRE
Observation-based approximate dependency modeling and its use for program slicing
2021-09-016
OAAI
Mining Fix Patterns for FindBugs Violations
2021-01-0192
OAAI
Pandemic programming How COVID-19 affects software developers and how their organizations can help
2020-09-14163
OAAI
Evaluating lexical approximation of program dependence
2020-02-016
OAAI
A comparison of tree- and line-oriented observational slicing
2019-01-2415
OAAI
A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion

多样性感知突变充分性标准的理论与实证研究

2018-10-0125
PREAI
Observational slicing based on visual semantics
2017-07-017
PREAI
Human Competitiveness of Genetic Programming in Spectrum-Based Fault Localisation: Theoretical and Empirical Analysis

基于频谱的故障定位中遗传编程的人类竞争力: 理论和实证分析

2017-06-2855
PREAI
Practical Combinatorial Interaction Testing: Empirical Findings on Efficiency and Early Fault Detection

实用组合交互作用测试: 关于效率和早期故障检测的经验发现

2015-09-0178
OAAI