Michele Tufano

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 57

Top Topics

Machine Translation

Mutation Testing

Top Venues

ICSE (Companion Volume)

Publications

Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
InferFix: End-to-End Program Repair with LLMs. CoRR (2023)
Kevin Moran, Ali Yachnes, George Purnell, Junayed Mahmud, Michele Tufano, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Zach H'Doubler
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation. CoRR (2023)
Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. CoRR (2023)
Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
InferFix: End-to-End Program Repair with LLMs. ESEC/SIGSOFT FSE (2023)
Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement
Predicting Code Coverage without Execution. CoRR (2023)
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
Exploring and Evaluating Personalized Models for Code Generation. CoRR (2022)
Camilo Escobar-Velásquez, Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk
Enabling Mutant Generation for Open- and Closed-Source Android Apps. IEEE Trans. Software Eng. 48 (2) (2022)
Kevin Moran, Ali Yachnes, George Purnell, Junayed Mahmud, Michele Tufano, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Zach H'Doubler
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation. SANER (2022)
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
Methods2Test: A dataset of focal methods mapped to test cases. CoRR (2022)
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. AST@ICSE (2022)
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
Exploring and evaluating personalized models for code generation. ESEC/SIGSOFT FSE (2022)
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
METHODS2TEST: A dataset of focal methods mapped to test cases. MSR (2022)
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
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR (2021)
Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair. IEEE Trans. Software Eng. 47 (9) (2021)
Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
Towards Automating Code Review Activities. CoRR (2021)
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
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks (2021)
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
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR (2021)
Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. CoRR (2021)
Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
Towards Automating Code Review Activities. ICSE (2021)
Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. EMNLP (1) (2021)
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
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR (2020)
Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk
DeepMutation: A Neural Mutation Tool. CoRR (2020)
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. CoRR (2020)
Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk
On Learning Meaningful Assert Statements for Unit Test Cases. CoRR (2020)
Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk
DeepMutation: a neural mutation tool. ICSE (Companion Volume) (2020)
Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk
On learning meaningful assert statements for unit test cases. ICSE (2020)
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan
Unit Test Case Generation with Transformers. CoRR (2020)
Michele Tufano, Hitesh Sajnani, Kim Herzig
Towards predicting the impact of software changes on building activities. ICSE (NIER) (2019)
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
Learning How to Mutate Source Code from Bug-Fixes. ICSME (2019)
Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair. CoRR (2019)
Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk
On Learning Meaningful Code Changes via Neural Machine Translation. CoRR (2019)
Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities. SANER (2019)
Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk
Guigle: a GUI search engine for Android apps. ICSE (Companion Volume) (2019)
Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk
On learning meaningful code changes via neural machine translation. ICSE (2019)
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation. ACM Trans. Softw. Eng. Methodol. 28 (4) (2019)
Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk
Guigle: A GUI Search Engine for Android Apps. CoRR (2019)
Michele Tufano, Hitesh Sajnani, Kim Herzig
Towards Predicting the Impact of Software Changes on Building Activities. CoRR (2019)
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
Deep learning similarities from different representations of source code. MSR (2018)
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation. CoRR (2018)
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
Learning How to Mutate Source Code from Bug-Fixes. CoRR (2018)
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
An empirical investigation into learning bug-fixing patches in the wild via neural machine translation. ASE (2018)
Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk
MDroid+: a mutation testing framework for android. ICSE (Companion Volume) (2018)
Jevgenija Pantiuchina, Gabriele Bavota, Michele Tufano, Denys Poshyvanyk
Towards just-in-time refactoring recommenders. ICPC (2018)
Mario Linares Vásquez, Christopher Vendome, Michele Tufano, Denys Poshyvanyk
How developers micro-optimize Android apps (journal-first abstract). SANER (2018)
Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk
MDroid+: A Mutation Testing Framework for Android. CoRR (2018)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk
There and back again: Can you compile that snapshot? J. Softw. Evol. Process. 29 (4) (2017)
Mario Linares Vásquez, Christopher Vendome, Michele Tufano, Denys Poshyvanyk
How developers micro-optimize Android apps. J. Syst. Softw. 130 (2017)
Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities. CoRR (2017)
Michele Tufano, Gabriele Bavota, Denys Poshyvanyk, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia
An empirical study on developer-related factors characterizing fix-inducing commits. J. Softw. Evol. Process. 29 (1) (2017)
Mario Linares Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk
Enabling Mutation Testing for Android Apps. CoRR (2017)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away). IEEE Trans. Software Eng. 43 (11) (2017)
Mario Linares Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk
Enabling mutation testing for Android apps. ESEC/SIGSOFT FSE (2017)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk
An empirical investigation into the nature of test smells. ASE (2016)
Martin White, Michele Tufano, Christopher Vendome, Denys Poshyvanyk
Deep learning code fragments for code clone detection. ASE (2016)
Fabio Palomba, Dario Di Nucci, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia
Landfill: An Open Dataset of Code Smells with Public Evaluation. MSR (2015)
Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia
Extract Package Refactoring in ARIES. ICSE (2) (2015)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk
When and Why Your Code Starts to Smell Bad. ICSE (1) (2015)