معرفی
Emelie Engström is a software engineering researcher at Lund University, specializing in empirical studies at the intersection of academia and industry. Her work focuses on regression testing, machine learning applications in software quality, DevOps practices, and aligning requirements engineering with autonomous systems validation.
- University: Lund University
- Research Areas: Software Engineering, Machine Learning, DevOps, Autonomous Systems
Her recent research examines ML-driven bug report classification, sustainable DevOps for cyber-physical systems, and optimizing anomaly detection through industrial case studies. She has developed taxonomies like SERP-test to improve communication between academic researchers and software practitioners.
Key article trends show strong emphasis on:
- 2025: ML techniques for bug classification
- 2024: Ericsson case studies on automated bug assignment
- 2023: Anomaly detection in DevOps
- 2021: Autonomous driving system testing
As a prolific collaborator, she works with researchers across Sweden including Per Runeson, Markus Borg, and Kai Petersen on projects ranging from cognitive load analysis in large-scale development to regression test scoping in software product lines.
