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- 2024
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Mark
Industrial adoption of machine learning techniques for early identification of invalid bug reports
2024) In Empirical Software Engineering(
- Contribution to journal › Article
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Mark
Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios
(
- Contribution to journal › Article
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Mark
Sammanfattning litteraturstudie : Öppna data-ekosystem inom logistik
2024)(
- Book/Report › Report
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Mark
Acceptance behavior theories and models in software engineering—A mapping study
(
- Contribution to journal › Article
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Mark
Evidence-Based Guidelines for Advancing Continuous Experimentation
2024) In IT Professional: technology solutions for the enterprise(
- Contribution to journal › Article
- 2023
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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
Ergo, SMIRK is safe : a safety case for a machine learning component in a pedestrian automatic emergency brake system
(
- Contribution to journal › Article
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Mark
A Literature Survey of Assertions in Software Testing
2023) 8th International Conference on the Engineering of Computer Based Systems, ECBS 2023 In Lecture Notes in Computer Science 14390.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A data-driven approach for understanding invalid bug reports: An industrial case study
(
- Contribution to journal › Article
-
Mark
Industry-academia collaboration for realism in software engineering research : Insights and recommendations
(
- Contribution to journal › Article