Making and gaming in signal processing classes. - Richard K. Martin; Andrew G. Klein; Jennifer Hefner; Cody Watson; Kirsten R. Basinet (ICASSP, 2017)

Detecting and summarizing GUI changes in evolving mobile apps. - Kevin Moran; Cody Watson; John Hoskins; George Purnell; Denys Poshyvanyk (ASE, 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 (ASE, 2018)

Deep learning similarities from different representations of source code. - Michele Tufano; Cody Watson; Gabriele Bavota; Massimiliano Di Penta; Martin White; Denys Poshyvanyk (MSR, 2018)

On learning meaningful code changes via neural machine translation. - Michele Tufano; Jevgenija Pantiuchina; Cody Watson; Gabriele Bavota; Denys Poshyvanyk (ICSE, 2019)

Learning How to Mutate Source Code from Bug-Fixes. - Michele Tufano; Cody Watson; Gabriele Bavota; Massimiliano Di Penta; Martin White; Denys Poshyvanyk (ICSME, 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)

DeepMutation: a neural mutation tool. - Michele Tufano; Jason Kimko; Shiya Wang; Cody Watson; Gabriele Bavota; Massimiliano Di Penta; Denys Poshyvanyk (ICSE (Companion Volume), 2020)

On learning meaningful assert statements for unit test cases. - Cody Watson; Michele Tufano; Kevin Moran; Gabriele Bavota; Denys Poshyvanyk (ICSE, 2020)

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research. - Cody Watson; Nathan Cooper; David Nader-Palacio; Kevin Moran; Denys Poshyvanyk (ACM Trans. Softw. Eng. Methodol., 2022)