Welcome to my personal website

Ph.D. Candidate in Computer Engineering at Queen’s University, Canada

Bio

I’m Doriane Olewicki, born and raised in Belgium. I moved to Canada for my graduate studies in 2018. I’m fluent in French and English.

I’m a Ph.D. Candidate in Computer Engineering at Queen’s University, under the supervision of Professor Bram Adams. I started my PhD in September 2020 and I’m expected to defend my thesis in December 2024.

Since July 2019, I’m collaborating with La Forge, Ubisoft Montréal on first my Master’s research and thesis, and now on my Ph.D. research.

Research interests

Continuous Integration, Software analytics tools, Review, Lifelong learning for Software Engineering, Concept Drift, Machine Learning.

I aim at evaluating how ML tools are used in the context of Continuous integration. Currently, I’m interested in the reviewing process and how review automation can help reviewers in their task, while keeping the ML tools behind the automation trustworthy. In previous work, I evaluated how concept drift impacts the evolution of SE development and the performance of automated (ML) tools over time, focusing on several use cases related to continuous integration at Ubisoft. Furthermore, I wanted to mitigate the impact of concept drift, using methods of lifelong learning, but also study how the detection of characteristics of concept drift can be used to trigger model updates and to select training datasets.

My Master’s thesis was called On the Cost and Value of Build Automation.

News

Jun 2024: I presented a talk about our work on code review activity prediction at CSER 2024, and a poster at SEMLA 2024.
Apr 2024: Our paper “An Empirical Study on Code Review Activity Prediction and Its Impact in Practice” got accepted at FSE 2024.
Apr 2024: I’m presenting paper “On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction” at ICSE-SEIP 2024. Furthermore, the paper got ICSE24 SEIP Distinguished Paper Award.
Feb 2024: I presented my work about code review automation at UDC, Ubisoft’s internal conference.
Nov 2023: I took part in the FM+SE workshop, discussing about the future of Fundation Models.
Jan 2023: Lecturer for the LOG3210 Compiler class at Polymtl (link)

Papers

An Empirical Study on Code Review Activity Prediction and Its Impact in Practice, Doriane Olewicki, Sarra Habchi, Bram Adams, FSE 2024. (paper)
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction, Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Brams Adams, ICSE-SEIP 2024. (paper)
Towards Language-independent Brown Build Detection, Doriane Olewicki, Mathieu Nayrolles, Bram Adams, ICSE 2022. (paper & video)
On the Cost and Value of Build Automation, Master thesis, Polytechnique Montréal 2020. (thesis)

Study Background

2023-present: PhD in Computer science at Queen’s University, Canada, under the supervision of Bram Adams
2020-2022: Research in Computer engineering at Polytechnique Montréal, Canada, under the supervision of Sarath Chandar and Bram Adams, in afiliation with the Mila
2019-2020: Master in Computer engineering at Polytechnique Montréal, Canada, under the supervision of Bram Adams (double degree)
2017-2020: Master in Software engineering at Université Catholique de Louvain, Belgium (double degree)
2014-2017: Bachelor at Université Catholique de Louvain, Belgium

Scholarships

November 2023 - present : Mitacs Accelerate in collaboration with La Forge, Ubisoft Montréal Title: RevMate: Towards an optimized review process in AAA game development
April 2021 - August 2022 : Mitacs Accelerate in collaboration with La Forge, Ubisoft Montréal Title: Life-long learning in game development processes (link)
July 2019 - July 2020 : Mitacs Accelerate in collaboration with La Forge, Ubisoft Montréal Title: Brown Build detection in AAA games