Michele Tufano

67 papers A* 7A 8C 1Journal 38Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair.
CoRR
Runxiang Cheng, Michele Tufano, José Cambronero, Renyao Wei, Sherry Shi, Grant Uy, Pat Rondon, Franjo Ivancic
2025 J jnl
Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair.
CoRR
José Cambronero, Michele Tufano, Sherry Shi, Renyao Wei, Grant Uy, Runxiang Cheng, Chin-Jung Liu, Shiying Pan, Satish Chandra, Pat Rondon
2025 J jnl
Agentic Bug Reproduction for Effective Automated Program Repair at Google.
CoRR
Runxiang Cheng, Michele Tufano, Jürgen Cito, José Cambronero, Pat Rondon, Renyao Wei, Aaron Sun, Satish Chandra
2025 — conf
Evaluating Agent-Based Program Repair at Google.
SEIP@ICSE
Pat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, Satish Chandra
2025 J jnl
Evaluating Agent-based Program Repair at Google.
CoRR
Pat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, Satish Chandra
2025 — conf
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation.
DeepTest
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
2025 J jnl
Towards Verified Code Reasoning by LLMs.
CoRR
Meghana Sistla, Gogul Balakrishnan, Pat Rondon, José Cambronero, Michele Tufano, Satish Chandra
2025 J jnl
Towards a Human-in-the-Loop Framework for Reliable Patch Evaluation Using an LLM-as-a-Judge.
CoRR
Sherry Shi, Renyao Wei, Michele Tufano, José Cambronero, Runxiang Cheng, Franjo Ivancic, Pat Rondon
2024 J jnl
AutoDev: Automated AI-Driven Development.
CoRR
Michele Tufano, Anisha Agarwal, Jinu Jang, Roshanak Zilouchian Moghaddam, Neel Sundaresan
2024 J jnl
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming.
CoRR
Anisha Agarwal, Aaron Chan, Shubham Chandel, Jinu Jang, Shaun Miller, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Neel Sundaresan, Michele Tufano
2023 J jnl
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation.
CoRR
Kevin Moran, Ali Yachnes, George Purnell, Junayed Mahmud, Michele Tufano, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Zach H'Doubler
2023 — conf
InferFix: End-to-End Program Repair with LLMs.
ESEC/SIGSOFT FSE
Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
2023 J jnl
InferFix: End-to-End Program Repair with LLMs.
CoRR
Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
2023 J jnl
Predicting Code Coverage without Execution.
CoRR
Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement
2023 J jnl
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation.
CoRR
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
2022 A conf
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation.
SANER
Kevin Moran, Ali Yachnes, George Purnell, Junayed Mahmud, Michele Tufano, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Zach H'Doubler
2022 J jnl
Enabling Mutant Generation for Open- and Closed-Source Android Apps.
IEEE Trans. Software Eng.
Camilo Escobar-Velásquez, Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk
2022 J jnl
Exploring and Evaluating Personalized Models for Code Generation.
CoRR
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
2022 — conf
Exploring and evaluating personalized models for code generation.
ESEC/SIGSOFT FSE
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
2022 C conf
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers.
AST
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
2022 A conf
METHODS2TEST: A dataset of focal methods mapped to test cases.
MSR
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
2022 J jnl
Methods2Test: A dataset of focal methods mapped to test cases.
CoRR
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
2021 — conf
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
NeurIPS Datasets and Benchmarks
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
2021 J jnl
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
CoRR
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
2021 A* conf
GraphCodeBERT: Pre-training Code Representations with Data Flow.
ICLR
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou
2021 — conf
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy.
EMNLP (1)
Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 J jnl
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy.
CoRR
Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 J jnl
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.
IEEE Trans. Software Eng.
Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus
2021 A* conf
Towards Automating Code Review Activities.
ICSE
Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
2021 J jnl
Towards Automating Code Review Activities.
CoRR
Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
2020 J jnl
DeepMutation: A Neural Mutation Tool.
CoRR
Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk
2020 — conf
DeepMutation: a neural mutation tool.
ICSE (Companion Volume)
Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk
2020 J jnl
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers.
CoRR
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
2020 J jnl
GraphCodeBERT: Pre-training Code Representations with Data Flow.
CoRR
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou
2020 J jnl
On Learning Meaningful Assert Statements for Unit Test Cases.
CoRR
Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk
2020 A* conf
On learning meaningful assert statements for unit test cases.
ICSE
Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk
2020 J jnl
Unit Test Case Generation with Transformers.
CoRR
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan
2019 J jnl
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation.
ACM Trans. Softw. Eng. Methodol.
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
2019 J jnl
Guigle: A GUI Search Engine for Android Apps.
CoRR
Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk
2019 — conf
Guigle: a GUI search engine for Android apps.
ICSE (Companion Volume)
Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk
2019 A conf
Learning How to Mutate Source Code from Bug-Fixes.
ICSME
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
2019 J jnl
On Learning Meaningful Code Changes via Neural Machine Translation.
CoRR
Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk
2019 A* conf
On learning meaningful code changes via neural machine translation.
ICSE
Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk
2019 J jnl
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.
CoRR
Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus
2019 A conf
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities.
SANER
Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk
2019 J jnl
Towards Predicting the Impact of Software Changes on Building Activities.
CoRR
Michele Tufano, Hitesh Sajnani, Kim Herzig
2019 — conf
Towards predicting the impact of software changes on building activities.
ICSE (NIER)
Michele Tufano, Hitesh Sajnani, Kim Herzig
2018 J jnl
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation.
CoRR
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
2018 A* conf
An empirical investigation into learning bug-fixing patches in the wild via neural machine translation.
ASE
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
2018 A conf
Deep learning similarities from different representations of source code.
MSR
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
2018 A conf
How developers micro-optimize Android apps (journal-first abstract).
SANER
Mario Linares Vásquez, Christopher Vendome, Michele Tufano, Denys Poshyvanyk
2018 J jnl
Learning How to Mutate Source Code from Bug-Fixes.
CoRR
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
2018 J jnl
MDroid+: A Mutation Testing Framework for Android.
CoRR
Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk
2018 — conf
MDroid+: a mutation testing framework for android.
ICSE (Companion Volume)
Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk
2018 A conf
Towards just-in-time refactoring recommenders.
ICPC
Jevgenija Pantiuchina, Gabriele Bavota, Michele Tufano, Denys Poshyvanyk
2017 J jnl
An empirical study on developer-related factors characterizing fix-inducing commits.
J. Softw. Evol. Process.
Michele Tufano, Gabriele Bavota, Denys Poshyvanyk, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia
2017 J jnl
Enabling Mutation Testing for Android Apps.
CoRR
Mario Linares Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk
2017 — conf
Enabling mutation testing for Android apps.
ESEC/SIGSOFT FSE
Mario Linares Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk
2017 J jnl
How developers micro-optimize Android apps.
J. Syst. Softw.
Mario Linares Vásquez, Christopher Vendome, Michele Tufano, Denys Poshyvanyk
2017 J jnl
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities.
CoRR
Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk
2017 J jnl
There and back again: Can you compile that snapshot?
J. Softw. Evol. Process.
Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk
2017 J jnl
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away).
IEEE Trans. Software Eng.
Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk
2016 A* conf
An empirical investigation into the nature of test smells.
ASE
Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk
2016 A* conf
Deep learning code fragments for code clone detection.
ASE
Martin White, Michele Tufano, Christopher Vendome, Denys Poshyvanyk
2015 — conf
Extract Package Refactoring in ARIES.
ICSE (2)
Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia
2015 A conf
Landfill: An Open Dataset of Code Smells with Public Evaluation.
MSR
Fabio Palomba, Dario Di Nucci, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia
2015 — conf
When and Why Your Code Starts to Smell Bad.
ICSE (1)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk