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- 2026
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Mark
Trust-calibrated code review : a participatory design study of review workflows for LLM-generated multi-file changes
(2026)
- Working paper/Preprint › Preprint in preprint archive
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Mark
Trust-calibrated code review : a participatory design study of review workflows for LLM-generated multi-file changes
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Helpful but fallible : developer experiences of AI tools under a coordinated industrial rollout
(2026)
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Orchestrating AI-assisted code remediation : socio-technical bottlenecks in a large industrial repository
(2026)
- Working paper/Preprint › Preprint in preprint archive
- 2025
-
Mark
Support, not automation : towards AI-supported code review for code quality and beyond
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
What questions do developers ask during code review?
(2025) WASP Winter Conference 2025
- Contribution to conference › Poster
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Mark
Can code review be modeled as a cognitive decision-making process?
(2025) NextG2Com Program Day 2025
- Contribution to conference › Poster
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Mark
Exploring the performance of ML model size for classification in relation to energy consumption
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Code review as decision-making : building a cognitive model from the questions asked during code review
(2025) In Empirical Software Engineering
- Contribution to journal › Article
-
Mark
Towards modeling and improving human-centered code review
- Thesis › Licentiate thesis
