Software engineering and how we develop software play a still more critical role for system development as software technology is becoming pervasive across all areas of society and industry. Software engineering is concerned with the concepts, principles, methods and software tools used in the design, implementation, evaluation, deployment, and maintenance of software and IT systems.
Our research activities encompass theoretical foundations, software development tools and technology, and implementation and evaluation of software system prototypes.
The group has a particular strong research track record in the areas of model-driven software engineering, concurrent and distributed systems, software verification and testing, software quality and security, code refactoring, and software architecture.
Our research group is involved in several projects in the areas of health-care, embedded systems, robotics and industrial automation, internet-of-things and cloud computing services, machine learning, and automotive software systems.
Furthermore, we have research collaboration with many national and international research institutions, and several national and international companies: the University of Extremadura (ES), the University of Lübeck (DE), University of Oslo (NO), the University of Stavanger (NO), and the University of Torino (IT).
Selected Research Projects
- SFI Smart Ocean: Technology for monitoring and management of a healthy and productive ocean. Work Package leader for Software Technology in Centre for Research-based Innovation.
- CROFLOW: Enabling Highly Automated Cross-Organisational Workflow Planning. Funded by the Norwegian Research Council.
- DYNAMIC: Reducing Fire Disaster Risk through Dynamic Risk Assessment and Management. Funded by the Norwegian Research Council.
- PiV: Pathology services in the Western Norway Health Region – a centre for applied digitization. Workpackage on Workflows. Funded by Helse Vest.
- COEMS: Continuous Observation of Embedded Multicore Systems. An EU H2020 funded RIA project.
- INTROMAT: Introducing Personalized Treatment of Mental Health Problems using Adaptive Technology. IKTPLUSS Lighthouse project funded by the Norwegian Research Council.
Our “institutional home” is https://www.hvl.no/en/research/group/software-engineering/.
- Lars Michael Kristensen (prof.) [@ HVL]
- Yngve Lamo (prof.) [@ HVL]
- Rogardt Heldal (prof.) [@ HVL]
- Adrian Rutle (prof.) [@ HVL]
- Volker Stolz (prof.) [@ HVL]
- Tosin Oyetoyan (assoc.prof.) [@ HVL]
- Violet Ka I Pun (assoc.prof.) [@ HVL] [@ home]
- Patrick Stünkel (assoc.prof.) [@ HVL] [@ home]
- Ming-Chang (Leo) Lee (post-doc) [@ HVL]
- Harald König (FHDW) (prof.II) [@ FHDW]
- Einar Broch Johnsen (UiO) (prof.II) [@ UiO]
- Ferruccio Damani (University of Torino) (prof.II) [@ U. Torino]
- Justus Sagemüller [@ HVL]
- Ole Jørgen Abusdal [@ HVL]
- Muhammad Rizwan Ali [@ HVL]
- Tim Kräuter [@ HVL] [@ home]
- Keila Lima [@ HVL]
- Ngoc-Thanh Nguyen [@ HVL]
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