Scholar
Ann Barcomb
Google Scholar ID: 1hMBs-8AAAAJ
Schulich School of Engineering, University of Calgary
free and open source software
human factors
software engineering
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Citations & Impact
All-time
Citations
338
H-index
10
i10-index
10
Publications
20
Co-authors
18
list available
Publications
6 items
Intersectional Fairness in Large Language Models
2026
Cited
0
Teaching Empathy in Software Engineering Education in the Age of Artificial Intelligence
2026
Cited
0
How Fair is Software Fairness Testing?
2026
Cited
0
Explainability as a Compliance Requirement: What Regulated Industries Need from AI Tools for Design Artifact Generation
2025
Cited
0
From Inductive to Deductive: LLMs-Based Qualitative Data Analysis in Requirements Engineering
2025
Cited
0
A Survey for What Developers Require in AI-powered Tools that Aid in Component Selection in CBSD
2025
Cited
0
Resume
Academic Achievements
Recipient of an NSERC Discovery Grant.
Published three core dissertation papers on episodic participation in FLOSS (2018–2020).
Co-authored multiple papers on qualitative data analysis, requirements engineering, and software engineering education (e.g., Kaufmann, Barcomb & Riehle, 2020; Marasco et al., 2022).
Published two practitioner-oriented articles and presented at five practitioner conferences (2017–2020).
Supervised a graduate student who presented related work in 2023.
Recent work includes corporate involvement in open source (Yenişen Yavuz, Barcomb & Riehle, 2022).
Research Experience
Research Area I: Improving Working through Software and Data, including:
— Using NLP to enhance qualitative data analysis and requirements engineering;
— Research methods in software engineering, especially rigor in qualitative research;
— Software engineering education, e.g., industry collaboration to improve course content.
Research Area II: Human Factors in Software Development, including:
— Open source contributors and communities (especially episodic participation);
— Diversity and inclusion (e.g., ageism and sexism among developers);
— Component and tool selection.
Co-authors
9 total
Dirk RIEHLE
Friedrich-Alexander-Universität Erlangen-Nürnberg
Klaas-Jan Stol
School of Computer Science and IT, University College Cork, Lero, SINTEF
Brian Fitzgerald
Lero - the Irish Software Research Centre, University of Limerick
Alexander Serebrenik
Full Professor of Social Software Engineering, Computer Science, Eindhoven University of Technology
Sebastian Baltes
University of Bayreuth
Nicolas Jullien
IMT Atlantique, Marsouin- LEGO
Maximilian Capraro
DATEV eG
Michael Dorner
SERL Sweden, Blekinge Institute of Technology