Michele Tufano

According to our database, Michele Tufano authored at least 39 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

AutoDev: Automated AI-Driven Development.

Michele Tufano, Anisha Agarwal, Jinu Jang, Roshanak Zilouchian Moghaddam, Neel Sundaresan

CoRR, 2024

Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming.

Anisha Agarwal, Aaron Chan, Shubham Chandel, Jinu Jang, Shaun Miller, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Neel Sundaresan, Michele Tufano

CoRR, 2024

2023

Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation.

Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy

CoRR, 2023

Predicting Code Coverage without Execution.

Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement

CoRR, 2023

InferFix: End-to-End Program Repair with LLMs.

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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2022

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

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

IEEE Trans. Software Eng., 2022

An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation.

Kevin Moran, Ali Yachnes, George Purnell, Junayed Mahmud, Michele Tufano, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Zach H'Doubler

Proceedings of the IEEE International Conference on Software Analysis, 2022

Exploring and evaluating personalized models for code generation.

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

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

METHODS2TEST: A dataset of focal methods mapped to test cases.

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

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers.

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan

Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2022

2021

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.

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

IEEE Trans. Software Eng., 2021

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

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Towards Automating Code Review Activities.

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

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

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 B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou

Proceedings of the 9th International Conference on Learning Representations, 2021

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

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Unit Test Case Generation with Transformers.

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

CoRR, 2020

On learning meaningful assert statements for unit test cases.

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

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

DeepMutation: a neural mutation tool.

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

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019

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 Trans. Softw. Eng. Methodol., 2019

Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities.

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

Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

Learning How to Mutate Source Code from Bug-Fixes.

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

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Towards predicting the impact of software changes on building activities.

Michele Tufano, Hitesh Sajnani, Kim Herzig

Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, 2019

On learning meaningful code changes via neural machine translation.

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

Proceedings of the 41st International Conference on Software Engineering, 2019

Guigle: a GUI search engine for Android apps.

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

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018

How developers micro-optimize Android apps (journal-first abstract).

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

Proceedings of the 25th International Conference on Software Analysis, 2018

Deep learning similarities from different representations of source code.

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

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

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

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Towards just-in-time refactoring recommenders.

Jevgenija Pantiuchina, Gabriele Bavota, Michele Tufano, Denys Poshyvanyk

Proceedings of the 26th Conference on Program Comprehension, 2018

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

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

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 Trans. Software Eng., 2017

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

J. Softw. Evol. Process., 2017

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

J. Softw. Evol. Process., 2017

How developers micro-optimize Android apps.

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

J. Syst. Softw., 2017

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

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

2016

Deep learning code fragments for code clone detection.

Martin White, Michele Tufano, Christopher Vendome, Denys Poshyvanyk

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

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

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

2015

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

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

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

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Extract Package Refactoring in ARIES.

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

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015