Publications

A Systematic Literature Review on Deep Learning in Software Engineering

C Watson, N Cooper, D Palacio, K Moran, D Poshyvanyk

Published TOSEM 2022

On Learning Meaningful Assert Statements for Unit Test Cases

C Watson, M Tufano, K Moran, G Bavota, D Poshyvanyk

Published ICSE 2020

DeepMutation: A Neural Mutation Tool

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

Published ICSE 2020

An empirical study on learning bug-fixing patches in the wild via neural machine translation

M Tufano, C Watson, G Bavota, MD Penta, M White, D Poshyvanyk

Published TOSEM 2019

On learning meaningful code changes via neural machine translation

M Tufano, J Pantiuchina, C Watson, G Bavota, D Poshyvanyk

Published ICSE 2019

Learning how to mutate source code from bug-fixes

M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk

Published ICSME 2019

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

M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk

Published ASE 2018

Detecting and summarizing gui changes in evolving mobile apps

K Moran, C Watson, J Hoskins, G Purnell, D Poshyvanyk

Published ASE 2018

Deep learning similarities from different representations of source code

M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk

Published MSR 2018