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.)
- NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation
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- 2025
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A comparative analysis of ML techniques for bug report classification
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- Contribution to journal › Article
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AI Act high-risk AI compliance challenge and industry impact : a multiple case study
2025) In Journal of Systems and Software(
- Contribution to journal › Article
- 2024
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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 p.17-20(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Industrial adoption of machine learning techniques for early identification of invalid bug reports
(
- Contribution to journal › Article
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Advancing Software Monitoring : An Industry Survey on ML-Driven Alert Management Strategies
2024) 50th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2024 p.435-442(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Acceptance behavior theories and models in software engineering—A mapping study
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- Contribution to journal › Article
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Software analytics for software engineering: A tertiary review
2024)(
- Working paper/Preprint › Preprint in preprint archive
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Software analytics for software engineering : a systematic mapping study
2024)(
- Working paper/Preprint › Preprint in preprint archive
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AI Act high-risk requirements readiness : industrial perspectives and case company insights
2024) 25th International Conference on Product-Focused Software Process Improvement, PROFES 2024 In Lecture Notes in Computer Science (LNCS) 15453. p.67-83(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios
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- Contribution to journal › Article