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- 2024
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Mark
Sentiment analysis for the masses : how LLMs changed the game
- Contribution to journal › Article
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Mark
Ghost echoes revealed : benchmarking maintainability metrics and machine learning predictions against human assessments
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Does co-development with ai assistants lead to more maintainable code? : A registered report
(2024) 40th International Conference on Software Maintenance and Evolution
- Contribution to conference › Paper, not in proceeding
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Mark
Evidence-Based Guidelines for Advancing Continuous Experimentation
- Contribution to journal › Article
- 2023
-
Mark
Critical scenario identification for realistic testing of autonomous driving systems
- Contribution to journal › Article
-
Mark
Applying Machine Learning to Gaze Data in Software Development: a Mapping Study
(2023) Eleventh International Workshop on Eye Movements in Programming, EMIP 2023
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Ergo, SMIRK is safe : a safety case for a machine learning component in a pedestrian automatic emergency brake system
- Contribution to journal › Article
-
Mark
Building Stronger Bridges: Strategies for Improving Communication and Collaboration Between Industry and Academia in Software Engineering
(2023)
- Thesis › Doctoral thesis (compilation)
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Mark
An empirically based model of software prototyping : a mapping study and a multi-case study
- Contribution to journal › Article
-
Mark
Software selection in large-scale software engineering: A model and criteria based on interactive rapid reviews
(2023) In Empirical Software Engineering
- Contribution to journal › Article
