Software Engineering Research Group
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- 2022
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Mark
Exploring ML testing in practice - Lessons learned from an interactive rapid review with Axis Communications
2022) 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Sustaining Open Data as a Digital Common - Design principles for Common Pool Resources applied to Open Data Ecosystems
2022) The 18th International Symposium on Open Collaboration(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Towards Optimization of Anomaly Detection Using Autonomous Monitors in DevOps
2022)(
- Thesis › Licentiate thesis
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Mark
Strategic Prototyping Technology Adoption in Startups: Framework, Challenges, and Opportunities
(
- Contribution to journal › Article
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Mark
Can RE Help Better Prepare Industrial AI for Commercial Scale?
(
- Contribution to journal › Article
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Mark
Early Identification of Invalid Bug Reports in Industrial Settings – A Case Study
2022) 23rd International Conference on Product-Focused Software Process Improvement, PROFES 2022 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13709 LNCS. p.497-507(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Cognitive Challenges for novice Software Development Teams
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Optimization of Anomaly Detection in a Microservice System Through Continuous Feedback from Development
2022) 2022 IEEE/ACM 10th International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS) p.13-20(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
-
Mark
An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Closing the Feedback Loop in DevOps Through Autonomous Monitors in Operations
(
- Contribution to journal › Article