Lionel Briand, University of Ottawa

Research

Read how they describe their research on their University of Ottawa profile.

Autonomous systems Evolutionary computing Machine learning Software testing

Latest papers

A comprehensive study of machine learning techniques for log-based anomaly detection.
Empirical software engineering · 2025 · senior author
PRINS: scalable model inference for component-based system logs.
Empirical software engineering · 2022 · senior author
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?: A Case Study of Automated Driving Systems.
Empirical software engineering · 2021 · senior author

All 4 publications

Latest funding

NSERC CREATE Program for Training and Research in Autonomous Vehicles for Reliable Services in the Air and on Land (TRAVERSAL)
NSERC · 2023 · Co-investigator
$450,000
Testing and Debugging Machine Learning-based Autonomous Systems
NSERC · 2020 · Principal investigator
$384,000
Automated Testing of Software Systems
NSERC · 2018 · Principal investigator
$150,000

All 5 grants and awards

4 publications.

01

A comprehensive study of machine learning techniques for log-based anomaly detection.

Ali S, Boufaied C, Bianculli D, Branco P, Briand L

Empirical software engineering2025Senior author

DOI: 10.1007/s10664-025-10669-3 PMID: 40567922

02

PRINS: scalable model inference for component-based system logs.

Shin D, Bianculli D, Briand L

Empirical software engineering2022Senior author

DOI: 10.1007/s10664-021-10111-4 PMID: 35431614

03

Can Offline Testing of Deep Neural Networks Replace Their Online Testing?: A Case Study of Automated Driving Systems.

Haq FU, Shin D, Nejati S, Briand L

Empirical software engineering2021Senior author

DOI: 10.1007/s10664-021-09982-4 PMID: 35791396

04

On systematically building a controlled natural language for functional requirements.

Veizaga A, Alferez M, Torre D, Sabetzadeh M, Briand L

Empirical software engineering2021Senior author

DOI: 10.1007/s10664-021-09956-6 PMID: 34776756

NSERC CREATE Program for Training and Research in Autonomous Vehicles for Reliable Services in the Air and on Land (TRAVERSAL)

Co-investigatorNSERC2023Collaborative Research and Training Experience

Principal investigators: Kantarci, Burak B

Keywords: 5g/6g-enabled communications; artificial intelligence; autonomous vehicles; cyber-physical systems; cybersecurity; human-computer interaction; inclusive innovation; software security; uncrewed aerial vehicles

$450,000

Testing and Debugging Machine Learning-based Autonomous Systems

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Briand, Lionel

Keywords: autonomous systems; software testing; machine learning; evolutionary computing

$384,000

Automated Testing of Software Systems

Principal investigatorNSERC2018Canada Research Chairs

Principal investigators: Briand, Lionel

$150,000

Automated Testing of Software Systems

Principal investigatorNSERC2018Canada Research Chairs

Principal investigators: Briand, Lionel

$200,000

Automated Testing of Software Systems

Principal investigatorNSERC2018Canada Research Chairs

Principal investigators: Briand, Lionel

Keywords: Software engineering; software testing; software quality assurance

$800,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

School of Electrical Engineering and Computer Science

Co-authors at University of Ottawa, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Paula Branco

School of Electrical Engineering and Computer Science

1 shared papers, latest 2025

Shiva Nejati

School of Electrical Engineering and Computer Science

1 shared papers, latest 2021

Write to this professor

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Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: Autonomous systems Dear Professor Briand, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "A comprehensive study of machine learning techniques for log-based anomaly detection." (2025), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Testing and Debugging Machine Learning-based Autonomous Systems" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]