Michele Tufano

InferFix: End-to-End Program Repair with LLMs over Retrieval-Augmented Prompts

Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy

The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023

Publication Github

Exploring and Evaluating Personalized Models for Code Generation

Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin Clement, Neel Sundaresan, Michele Tufano

Foundations of Software Engineering | August 2022

Publication Project

Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan

2022 IEEE/ACM International Conference on Automation of Software Test (AST) | May 2022

Publication Publication Publication Project

Methods2Test: A dataset of focal methods mapped to test cases

Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy

2022 International Conference on Mining Software Repositories (MSR) | May 2022

Publication Publication Projet

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy

2021 Empirical Methods in Natural Language Processing | October 2021

PDF Project Project

Unit Test Case Generation with Transformers and Focal Context

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan

May 2021

PDF Project Project

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang (姜大昕), Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong (YIMING), Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu

February 2021

Publication Github Project Project Project

Towards Automating Code Review Activities

Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota

2021 International Conference on Software Engineering | January 2021

Publication

GraphCodeBERT: Pre-training Code Representations with Data Flow

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 Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang (姜大昕), Ming Zhou

September 2020

PDF Publication Project Project

DeepMutation: a neural mutation tool

Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk

2020 International Conference on Software Engineering | June 2020

DOI Publication Publication Publication Publication

On learning meaningful assert statements for unit test cases

Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk

2020 International Conference on Software Engineering | June 2020

DOI Publication Publication Publication Publication

Enabling Mutant Generation for Open- and Closed-Source Android Apps

Camilo Escobar-Velasquez, Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk

IEEE Transactions on Software Engineering | March 2020, pp. 1-1

DOI Publication

SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair

Zimin Chen, Steve James Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus

IEEE Transactions on Software Engineering | December 2019, pp. 1-1

DOI Publication Publication Publication Publication Publication

An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

ACM Transactions on Software Engineering and Methodology | September 2019, Vol 28(4): pp. 1-29

DOI PDF Publication Publication Publication Publication Publication Publication

Learning How to Mutate Source Code from Bug-Fixes

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2019 International Conference on Software Maintenance | August 2019

DOI Publication Publication

Towards predicting the impact of software changes on building activities

Michele Tufano, Hitesh Sajnani, Kim Herzig

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication Publication

Guigle: a GUI search engine for Android apps

Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication

On learning meaningful code changes via neural machine translation

Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication Publication Publication Publication

Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities

Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk

2019 IEEE International Conference on Software Analysis, Evolution, and Reengineering | February 2019

DOI Publication Publication Publication Publication Publication Publication

An empirical investigation into learning bug-fixing patches in the wild via neural machine translation

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2018 Automated Software Engineering | September 2018

DOI PDF Publication Publication Publication

Deep learning similarities from different representations of source code

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2018 Mining Software Repositories | May 2018

DOI PDF Publication Publication

Towards just-in-time refactoring recommenders

Jevgenija Pantiuchina, Gabriele Bavota, Michele Tufano, Denys Poshyvanyk

2018 International Conference on Program Comprehension | May 2018

DOI Publication Publication

MDroid+: a mutation testing framework for android

Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares-Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk

2018 International Conference on Software Engineering | May 2018

DOI Publication Publication Publication Publication

When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk

IEEE Transactions on Software Engineering | October 2017, Vol 43(11): pp. 1063-1088

DOI Publication Publication Publication Publication Publication

Enabling mutation testing for Android apps

Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk

2017 Foundations of Software Engineering | August 2017

DOI Publication Publication Publication Publication Publication Publication

How developers micro-optimize Android apps

Mario Linares-Vásquez, Christopher Vendome, Michele Tufano, Denys Poshyvanyk

Journal of Systems and Software | July 2017, Vol 130: pp. 1-23

DOI Publication Publication Publication

There and back again: Can you compile that snapshot?

Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk

Journal of Software: Evolution and Process | March 2017, Vol 29(4)

DOI Publication Publication Publication

An empirical study on developer‐related factors characterizing fix‐inducing commits

Michele Tufano, Gabriele Bavota, Denys Poshyvanyk, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia

Journal of Software: Evolution and Process | December 2016, Vol 29(1)

DOI Publication Publication Publication Publication Publication Publication

An empirical investigation into the nature of test smells

Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk

2016 Automated Software Engineering | August 2016

DOI Publication Publication Publication Publication Publication Publication Publication

Deep learning code fragments for code clone detection

Martin White, Michele Tufano, Christopher Vendome, Denys Poshyvanyk

2016 Automated Software Engineering | August 2016

DOI Publication Publication Publication Publication

Extract package refactoring in ARIES

Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia

2015 International Conference on Software Engineering | May 2015

DOI PDF PDF Publication Publication Publication Publication

Landfill: an open dataset of code smells with public evaluation

Fabio Palomba, Dario Di Nucci, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia

2015 Mining Software Repositories | May 2015

DOI Publication Publication Publication Publication

When and why your code starts to smell bad

Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk

2015 International Conference on Software Engineering | May 2015

DOI PDF Publication Publication Publication Publication Publication Publication

InferFix: End-to-End Program Repair with LLMs over Retrieval-Augmented Prompts

Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy

The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023

Publication Github

Exploring and Evaluating Personalized Models for Code Generation

Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin Clement, Neel Sundaresan, Michele Tufano

Foundations of Software Engineering | August 2022

Publication Project

Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan

2022 IEEE/ACM International Conference on Automation of Software Test (AST) | May 2022

Publication Publication Publication Project

Methods2Test: A dataset of focal methods mapped to test cases

Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy

2022 International Conference on Mining Software Repositories (MSR) | May 2022

Publication Publication Projet

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy

2021 Empirical Methods in Natural Language Processing | October 2021

PDF Project Project

Unit Test Case Generation with Transformers and Focal Context

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan

May 2021

PDF Project Project

GraphCodeBERT: Pre-training Code Representations with Data Flow

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 Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang (姜大昕), Ming Zhou

September 2020

PDF Publication Project Project

On learning meaningful assert statements for unit test cases

Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk

2020 International Conference on Software Engineering | June 2020

DOI Publication Publication Publication Publication

DeepMutation: a neural mutation tool

Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk

2020 International Conference on Software Engineering | June 2020

DOI Publication Publication Publication Publication

Enabling Mutant Generation for Open- and Closed-Source Android Apps

Camilo Escobar-Velasquez, Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk

IEEE Transactions on Software Engineering | March 2020, pp. 1-1

DOI Publication

SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair

Zimin Chen, Steve James Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus

IEEE Transactions on Software Engineering | December 2019, pp. 1-1

DOI Publication Publication Publication Publication Publication

An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

ACM Transactions on Software Engineering and Methodology | September 2019, Vol 28(4): pp. 1-29

DOI PDF Publication Publication Publication Publication Publication Publication

Learning How to Mutate Source Code from Bug-Fixes

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2019 International Conference on Software Maintenance | August 2019

DOI Publication Publication

Towards predicting the impact of software changes on building activities

Michele Tufano, Hitesh Sajnani, Kim Herzig

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication Publication

On learning meaningful code changes via neural machine translation

Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication Publication Publication Publication

Guigle: a GUI search engine for Android apps

Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication

Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities

Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk

2019 IEEE International Conference on Software Analysis, Evolution, and Reengineering | February 2019

DOI Publication Publication Publication Publication Publication Publication

An empirical investigation into learning bug-fixing patches in the wild via neural machine translation

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2018 Automated Software Engineering | September 2018

DOI PDF Publication Publication Publication

Deep learning similarities from different representations of source code

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2018 Mining Software Repositories | May 2018

DOI PDF Publication Publication

Towards just-in-time refactoring recommenders

Jevgenija Pantiuchina, Gabriele Bavota, Michele Tufano, Denys Poshyvanyk

2018 International Conference on Program Comprehension | May 2018

DOI Publication Publication

MDroid+: a mutation testing framework for android

Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares-Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk

2018 International Conference on Software Engineering | May 2018

DOI Publication Publication Publication Publication

When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk

IEEE Transactions on Software Engineering | October 2017, Vol 43(11): pp. 1063-1088

DOI Publication Publication Publication Publication Publication

Enabling mutation testing for Android apps

Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk

2017 Foundations of Software Engineering | August 2017

DOI Publication Publication Publication Publication Publication Publication

How developers micro-optimize Android apps

Mario Linares-Vásquez, Christopher Vendome, Michele Tufano, Denys Poshyvanyk

Journal of Systems and Software | July 2017, Vol 130: pp. 1-23

DOI Publication Publication Publication

There and back again: Can you compile that snapshot?

Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk

Journal of Software: Evolution and Process | March 2017, Vol 29(4)

DOI Publication Publication Publication

An empirical study on developer‐related factors characterizing fix‐inducing commits

Michele Tufano, Gabriele Bavota, Denys Poshyvanyk, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia

Journal of Software: Evolution and Process | December 2016, Vol 29(1)

DOI Publication Publication Publication Publication Publication Publication

Deep learning code fragments for code clone detection

Martin White, Michele Tufano, Christopher Vendome, Denys Poshyvanyk

2016 Automated Software Engineering | August 2016

DOI Publication Publication Publication Publication

An empirical investigation into the nature of test smells

Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk

2016 Automated Software Engineering | August 2016

DOI Publication Publication Publication Publication Publication Publication Publication

When and why your code starts to smell bad

Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk

2015 International Conference on Software Engineering | May 2015

DOI PDF Publication Publication Publication Publication Publication Publication

Landfill: an open dataset of code smells with public evaluation

Fabio Palomba, Dario Di Nucci, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia

2015 Mining Software Repositories | May 2015

DOI Publication Publication Publication Publication

Extract package refactoring in ARIES

Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia

2015 International Conference on Software Engineering | May 2015

DOI PDF PDF Publication Publication Publication Publication

Exploring and Evaluating Personalized Models for Code Generation

Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin Clement, Neel Sundaresan, Michele Tufano

Foundations of Software Engineering | August 2022

Publication Project

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy

2021 Empirical Methods in Natural Language Processing | October 2021

PDF Project Project

Unit Test Case Generation with Transformers and Focal Context

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan

May 2021

PDF Project Project

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang (姜大昕), Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong (YIMING), Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu

February 2021

Publication Github Project Project Project

Towards Automating Code Review Activities

Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota

2021 International Conference on Software Engineering | January 2021

Publication

InferFix: End-to-End Program Repair with LLMs over Retrieval-Augmented Prompts

Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy

The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023

Publication Github

Exploring and Evaluating Personalized Models for Code Generation

Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin Clement, Neel Sundaresan, Michele Tufano

Foundations of Software Engineering | August 2022

Publication Project

Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan

2022 IEEE/ACM International Conference on Automation of Software Test (AST) | May 2022

Publication Publication Publication Project

Methods2Test: A dataset of focal methods mapped to test cases

Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy

2022 International Conference on Mining Software Repositories (MSR) | May 2022

Publication Publication Projet

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy

2021 Empirical Methods in Natural Language Processing | October 2021

PDF Project Project

Towards Automating Code Review Activities

Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota

2021 International Conference on Software Engineering | January 2021

Publication

On learning meaningful assert statements for unit test cases

Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk

2020 International Conference on Software Engineering | June 2020

DOI Publication Publication Publication Publication

DeepMutation: a neural mutation tool

Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk

2020 International Conference on Software Engineering | June 2020

DOI Publication Publication Publication Publication

Learning How to Mutate Source Code from Bug-Fixes

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2019 International Conference on Software Maintenance | August 2019

DOI Publication Publication

Towards predicting the impact of software changes on building activities

Michele Tufano, Hitesh Sajnani, Kim Herzig

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication Publication

On learning meaningful code changes via neural machine translation

Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication Publication Publication Publication

Guigle: a GUI search engine for Android apps

Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk

2019 International Conference on Software Engineering | May 2019

DOI Publication Publication Publication

Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities

Martin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys Poshyvanyk

2019 IEEE International Conference on Software Analysis, Evolution, and Reengineering | February 2019

DOI Publication Publication Publication Publication Publication Publication

An empirical investigation into learning bug-fixing patches in the wild via neural machine translation

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2018 Automated Software Engineering | September 2018

DOI PDF Publication Publication Publication

Deep learning similarities from different representations of source code

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2018 Mining Software Repositories | May 2018

DOI PDF Publication Publication

Towards just-in-time refactoring recommenders

Jevgenija Pantiuchina, Gabriele Bavota, Michele Tufano, Denys Poshyvanyk

2018 International Conference on Program Comprehension | May 2018

DOI Publication Publication

MDroid+: a mutation testing framework for android

Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares-Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk

2018 International Conference on Software Engineering | May 2018

DOI Publication Publication Publication Publication

Enabling mutation testing for Android apps

Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk

2017 Foundations of Software Engineering | August 2017

DOI Publication Publication Publication Publication Publication Publication

Deep learning code fragments for code clone detection

Martin White, Michele Tufano, Christopher Vendome, Denys Poshyvanyk

2016 Automated Software Engineering | August 2016

DOI Publication Publication Publication Publication

An empirical investigation into the nature of test smells

Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk

2016 Automated Software Engineering | August 2016

DOI Publication Publication Publication Publication Publication Publication Publication

When and why your code starts to smell bad

Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk

2015 International Conference on Software Engineering | May 2015

DOI PDF Publication Publication Publication Publication Publication Publication

Landfill: an open dataset of code smells with public evaluation

Fabio Palomba, Dario Di Nucci, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia

2015 Mining Software Repositories | May 2015

DOI Publication Publication Publication Publication

Extract package refactoring in ARIES

Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia

2015 International Conference on Software Engineering | May 2015

DOI PDF PDF Publication Publication Publication Publication

Unit Test Case Generation with Transformers and Focal Context

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan

May 2021

PDF Project Project

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang (姜大昕), Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong (YIMING), Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu

February 2021

Publication Github Project Project Project

GraphCodeBERT: Pre-training Code Representations with Data Flow

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 Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang (姜大昕), Ming Zhou

September 2020

PDF Publication Project Project

Enabling Mutant Generation for Open- and Closed-Source Android Apps

Camilo Escobar-Velasquez, Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk

IEEE Transactions on Software Engineering | March 2020, pp. 1-1

DOI Publication

SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair

Zimin Chen, Steve James Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus

IEEE Transactions on Software Engineering | December 2019, pp. 1-1

DOI Publication Publication Publication Publication Publication

An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

ACM Transactions on Software Engineering and Methodology | September 2019, Vol 28(4): pp. 1-29

DOI PDF Publication Publication Publication Publication Publication Publication

When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk

IEEE Transactions on Software Engineering | October 2017, Vol 43(11): pp. 1063-1088

DOI Publication Publication Publication Publication Publication

How developers micro-optimize Android apps

Mario Linares-Vásquez, Christopher Vendome, Michele Tufano, Denys Poshyvanyk

Journal of Systems and Software | July 2017, Vol 130: pp. 1-23

DOI Publication Publication Publication

There and back again: Can you compile that snapshot?

Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk

Journal of Software: Evolution and Process | March 2017, Vol 29(4)

DOI Publication Publication Publication

An empirical study on developer‐related factors characterizing fix‐inducing commits

Michele Tufano, Gabriele Bavota, Denys Poshyvanyk, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia

Journal of Software: Evolution and Process | December 2016, Vol 29(1)

DOI Publication Publication Publication Publication Publication Publication