← authors · overview

• Large Language Models in Fault Localisation
  2023 · 20 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
• Adversarial Embedding: A robust and elusive Steganography and Watermarking technique
  2019 · 2 citations
• Learning from What We Know: How to Perform Vulnerability Prediction using Noisy Historical Data
  2020 · 2 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