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Journal Articles
- 2022
[j2]Cody Watson, Nathan Cooper, David Nader-Palacio, Kevin Moran
, Denys Poshyvanyk:
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research. ACM Trans. Softw. Eng. Methodol. 31(2): 32:1-32:58 (2022)- 2019
- [j1]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): 19:1-19:29 (2019)
Conference and Workshop Papers
- 2020
- [c8]Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk:
DeepMutation: a neural mutation tool. ICSE (Companion Volume) 2020: 29-32 - [c7]Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk:
On learning meaningful assert statements for unit test cases. ICSE 2020: 1398-1409 - 2019
- [c6]Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk:
On learning meaningful code changes via neural machine translation. ICSE 2019: 25-36 - [c5]Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk:
Learning How to Mutate Source Code from Bug-Fixes. ICSME 2019: 301-312 - 2018
- [c4]Kevin Moran, Cody Watson, John Hoskins, George Purnell, Denys Poshyvanyk:
Detecting and summarizing GUI changes in evolving mobile apps. ASE 2018: 543-553 - [c3]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: 832-837 - [c2]Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk:
Deep learning similarities from different representations of source code. MSR 2018: 542-553 - 2017
- [c1]Richard K. Martin, Andrew G. Klein, Jennifer Hefner, Cody Watson, Kirsten R. Basinet:
Making and gaming in signal processing classes. ICASSP 2017: 1268-1272
Informal and Other Publications
- 2020
- [i7]Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk:
DeepMutation: A Neural Mutation Tool. CoRR abs/2002.04760 (2020) - [i6]Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk:
On Learning Meaningful Assert Statements for Unit Test Cases. CoRR abs/2002.05800 (2020) - [i5]Cody Watson, Nathan Cooper, David Nader-Palacio, Kevin Moran, Denys Poshyvanyk:
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research. CoRR abs/2009.06520 (2020) - 2019
- [i4]Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk:
On Learning Meaningful Code Changes via Neural Machine Translation. CoRR abs/1901.09102 (2019) - 2018
- [i3]Kevin Moran, Cody Watson, John Hoskins, George Purnell, Denys Poshyvanyk:
Detecting and Summarizing GUI Changes in Evolving Mobile Apps. CoRR abs/1807.09440 (2018) - [i2]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 abs/1812.08693 (2018) - [i1]Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk:
Learning How to Mutate Source Code from Bug-Fixes. CoRR abs/1812.10772 (2018)
Coauthor Index
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