Thibaud Lutellier
Thibaud Lutellier
Verified email at uwaterloo.ca
Title
Cited by
Cited by
Year
Comparing software architecture recovery techniques using accurate dependencies
T Lutellier, D Chollak, J Garcia, L Tan, D Rayside, N Medvidovic, ...
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 2 …, 2015
712015
CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries
HV Pham, T Lutellier, W Qi, L Tan
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
402019
Measuring the impact of code dependencies on software architecture recovery techniques
T Lutellier, D Chollak, J Garcia, L Tan, D Rayside, N Medvidović, ...
IEEE Transactions on Software Engineering 44 (2), 159-181, 2017
352017
Effective detection of vulnerable and malicious browser extensions
H Shahriar, K Weldemariam, M Zulkernine, T Lutellier
Computers & Security 47, 66-84, 2014
292014
Coconut: combining context-aware neural translation models using ensemble for program repair
T Lutellier, HV Pham, L Pang, Y Li, M Wei, L Tan
Proceedings of the 29th ACM SIGSOFT international symposium on software …, 2020
262020
On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files
T Kuchta, T Lutellier, E Wong, L Tan, C Cadar
Empirical Software Engineering 23 (6), 3187-3220, 2018
152018
A model-based detection of vulnerable and malicious browser extensions
H Shahriar, K Weldemariam, T Lutellier, M Zulkernine
2013 IEEE 7th International Conference on Software Security and Reliability …, 2013
112013
ENCORE: ensemble learning using convolution neural machine translation for automatic program repair
T Lutellier, L Pang, VH Pham, M Wei, L Tan
arXiv preprint arXiv:1906.08691, 2019
82019
Problems and opportunities in training deep learning software systems: an analysis of variance
HV Pham, S Qian, J Wang, T Lutellier, J Rosenthal, L Tan, Y Yu, ...
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
52020
CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. In 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)
HV Pham, T Lutellier, W Qi, L Tan
IEEE, 2019
52019
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
N Jiang, T Lutellier, L Tan
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
12021
Machine Learning for Software Dependability
T Lutellier
University of Waterloo, 2020
2020
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Articles 1–12