Emelie Engström
- Department of Computer Science
- Software Engineering Research Group
- LTH School of Engineering in Helsingborg
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Computer Science and Engineering (M.Sc.Eng.)
- LTH Profile Area: AI and Digitalization
- LU Profile Area: Natural and Artificial Cognition
- Information and Communications Engineering (M.Sc.Eng.)
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- 2024
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Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios
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- Contribution to journal › Article
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Revisiting the construct and assessment of industrial relevance in software engineering research within
2024) International Workshop on Methodological Issues with Empirical Studies in Software Engineering, WSESE 2024 In ICSE Workshops(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Industrial adoption of machine learning techniques for early identification of invalid bug reports
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- Contribution to journal › Article
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Advancing Software Monitoring: An Industry Survey on ML-Driven Alert Management Strategies
2024) 50th Euromicro Conference Series on Software Engineering and Advanced Applications, SEAA 2024(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Acceptance behavior theories and models in software engineering—A mapping study
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- Contribution to journal › Article
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Experiences from conducting rapid reviews in collaboration with practitioners — Two industrial cases
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- Contribution to journal › Article
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An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems
2024) 32nd ACM International Conference on the Foundations of Software Engineering, FSE Companion In FSE Companion - Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering p.232-243(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Adopting automated bug assignment in practice — a longitudinal case study at Ericsson
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- Contribution to journal › Article
- 2023
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Towards optimization of anomaly detection in DevOps
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- Contribution to journal › Article
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A data-driven approach for understanding invalid bug reports: An industrial case study
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- Contribution to journal › Article