Michele Tufano

Identifiers

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Papers (9)

1. Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation cs.SE · 2025 · author #5
2. CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation cs.SE · 2021 · author #15
3. GraphCodeBERT: Pre-training Code Representations with Data Flow cs.SE · 2020 · author #11
4. On Learning Meaningful Code Changes via Neural Machine Translation cs.SE · 2019 · author #1
5. Towards Predicting the Impact of Software Changes on Building Activities cs.SE · 2019 · author #1
6. Guigle: A GUI Search Engine for Android Apps cs.SE · 2019 · author #3
7. An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation cs.SE · 2018 · author #1
8. MDroid+: A Mutation Testing Framework for Android cs.SE · 2018 · author #2
9. Enabling Mutation Testing for Android Apps cs.SE · 2017 · author #3

Mentions

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Frequent Coauthors

• Denys Poshyvanyk 6 shared papers
• Gabriele Bavota 4 shared papers
• Kevin Moran 3 shared papers
• Massimiliano Di Penta 3 shared papers
• Alexey Svyatkovskiy 2 shared papers
• Carlos Bernal-C\'ardenas 2 shared papers
• Christopher Vendome 2 shared papers
• Cody Watson 2 shared papers
• Colin Clement 2 shared papers
• Dawn Drain 2 shared papers
• Daxin Jiang 2 shared papers
• Daya Guo 2 shared papers
• Duyu Tang 2 shared papers
• Long Zhou 2 shared papers
• Mario Linares-V\'asquez 2 shared papers
• Ming Zhou 2 shared papers
• Nan Duan 2 shared papers
• Neel Sundaresan 2 shared papers
• Shao Kun Deng 2 shared papers
• Shengyu Fu 2 shared papers