Thibaud Lutellier, PhD

Contact

AssistProf, Augustana - Sciences

Email: lutellie@ualberta.ca
Address: 2-12 Founders' Hall
4901-46 Ave

Camrose AB

T4V 2R3

Overview

Area of Study / Keywords

software engineering AI Testing automatic program repair AI for software engineering

About

Degrees

PhD, University of Waterloo
MASc, University of Waterloo
Ingénieur Diplômé de Télécom Saint-Etienne, Université Jean Monnet, FRA

Research

My research interests include software engineering, automatic program repair, AI for software engineering, Fairness and AI testing, defect prediction and software engineering.

Courses

AUCSC 111 - Introduction to Computational Thinking and Problem Solving

An introduction to computational thinking, problem solving, and the fundamental ideas of computing. Topics include algorithms, abstraction, and modelling; the syntax and semantics of a high-level language (e.g. Python); fundamental programming concepts and data structures, including simple containers (variables, arrays, lists, strings, dictionaries); sequencing, conditionals and repetition; documentation and style; object-oriented programming; exceptions and error handling; graphical user interfaces and event-driven programming; recursion; simple algorithm analysis and run- time efficiency. Prerequisite: Mathematics 30-1. Note: Credit may be obtained for only one of AUCSC 111, AUCSC 113 (2023), and AUCSC 120 (2019).

Fall Term 2023

AUCSC 112 - Data Structures and Algorithms

An introduction to object-oriented design and programming in Java; algorithm analysis; data structures and container classes including arrays, lists, arraylists, stacks, queues, user-defined structures and an introduction to trees, along with associated algorithms such as insertion, removal, sorting and retrieval; introduction to recursion. Prerequisite: AUCSC 111, AUCSC 113 (2023) or AUSCI 135. Corequisites: AUMAT 116 and 120. Note: Credit may be obtained for only one of AUCSC 112 and AUCSC 211, and for only one of AUCSC 112 and AUSCI 235.

Winter Term 2024

AUCSC 220 - Software Engineering I

Software engineering paradigms, requirements specification, iterative software development, object-oriented design patterns, visual modelling with UML, software architecture; testing, verification and maintenance; software development environments and software engineering tools; societal implications such as the cost of failure and professional responsibilities. Prerequisite: AUCSC 112, or AUCSC 211 and AUSCI 235.

Fall Term 2023

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Featured Publications

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, and Xiangyu Zhang

IEEE/ACM 45th International Conference on Software Engineering (ICSE). 2023 May;

Impact of Code Language Models on Automated Program Repair

Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan

IEEE/ACM 45th International Conference on Software Engineering (ICSE). 2023 May;

EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries

Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan

IEEE/ACM 44th International Conference on Software Engineering (ICSE). 2022 January;

Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training

Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, and Sameena Shah

Advances in Neural Information Processing Systems (NeurIPS). 2021 January; 34

CURE: Code-aware neural machine translation for automatic program repair

Nan Jiang, Thibaud Lutellier, Lin Tan

IEEE/ACM 43rd International Conference on Software Engineering (ICSE). 2021 January;

Problems and opportunities in training deep learning software systems: An analysis of variance

Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan

35th IEEE/ACM international conference on automated software engineering (ASE). 2021 January;

Coconut: combining context-aware neural translation models using ensemble for program repair

Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan

29th ACM SIGSOFT international symposium on software testing and analysis (ISSTA). 2020 January;

CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries

Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan

IEEE/ACM 41st International Conference on Software Engineering (ICSE). 2019 January;

On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files

Tomasz Kuchta, Thibaud Lutellier, Edmund Wong, Lin Tan, Cristian Cadar

Empirical Software Engineering (EMSE). 2018 January; 23 (6):3187-3220

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