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Mike Papadakis — most-cited papers & profile · AI for Code
← authors
·
overview
Mike Papadakis
26
papers ·
64
citations ·
40
h-index
University of Luxembourg
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Large Language Models in Fault Localisation
2023 · 19 citations
CodeBERT-nt: code naturalness via CodeBERT
2022 · 12 citations
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
2023 · 6 citations
Efficient Mutation Testing via Pre-Trained Language Models
2023 · 5 citations
Vulnerability Mimicking Mutants
2023 · 4 citations
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses
2021 · 2 citations
Using Evolutionary Coupling to Establish Relevance Links Between Tests and Code Units. A case study on fault localization
2022 · 2 citations
You Can REST Now: Automated REST API Documentation and Testing via LLM-Assisted Request Mutations
2024 · 2 citations
Do LLMs generate test oracles that capture the actual or the expected program behaviour?
2024 · 2 citations
YATE: The Role of Test Repair in LLM-Based Unit Test Generation
2025 · 1 citations
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
2022 · 1 citations
Prompt Coverage Adequacy
2026
Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis
2026
Learning Generalizable Multimodal Representations for Software Vulnerability Detection
2026
Boosting LLMs for Mutation Generation
2026
Top co-authors
Maxime Cordy
· 7
Qiang Hu
· 5
Mark Harman
· 4
Jie M. Zhang
· 3
Amal Akli
· 2
and Yong Liu
· 1
Bo Wang
· 1
Chengran Yang
· 1
Ezekiel Soremekun
· 1
Hao Liu
· 1
Jie Zhang
· 1
Koushik Sen
· 1
Topics
Software Engineering
Bug Detection
Testing
Code Models
Code Generation
Program Repair
Code Translation
Code Understanding