The mission of the CSE Division is to provide education and research in all relevant aspects of Computer Science and Software Engineering for industrial and embedded systems. To establish world class education and research in this utterly complex area extensive collaboration with industry is required. The goal is to strengthen and secure the Computer Science and Software Engineering part of the education, and to provide scientifically well founded methods and theories for the application areas. Our research is directed to increase the knowledge of software engineering and in particular of industrial software engineering, real-time and embedded systems component-based software engineering, dependable systems, from both theoretical and practical points of view. The research results of the CSE is supposed to be used both at the university and in the industry. At the university, the accumulated knowledge is used for further education in order to prepare the students for new aspects in system development. The industry will benefit with direct implementation of methods and knowledge built up in the research activities and well educated students.
Evaluation of an OPC UA-based Access Control Enforcement Architecture (Sep 2024) Björn Leander, Aida Causevic, Tomas Lindström , Hans Hansson 28th European Symposium on Research in Computer Security (ESORICS 2023)
Requirements Similarity and Retrieval (Jul 2024) Muhammad Abbas, Sarmad Bashir, Mehrdad Saadatmand , Eduard Paul Enoiu, Daniel Sundmark
Mitigation Ontology for Analysis of Safety-Critical Systems (Jun 2024) Nazakat Ali, Kristina Lundqvist, Kaj Hänninen The 34th European Safety and Reliability Conference (ESREL'34)
Towards Compact Surface Languages for Specific Modelling Aspects in EAST-ADL (Jun 2024) Imad Berrouyne, Alessio Bucaioni, Federico Ciccozzi, Henrik Lönn 12th Embedded Real-Time Systems Congress (ERTS2024)
Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement (May 2024) Md Alamgir Kabir , Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Md Rakibul Islam International Conference on Machine Learning Technologies (ICMLT)
Combining Ontology and Large Language Models to Identify Recurring Machine Failures in Free-Text Fields (Apr 2024) Marcus Bengtsson, Mobyen Uddin Ahmed, Ricky Stanley D Cruze , Peter Funk, Tomohiko Sakao , Rickard Sohlberg Dr H.C. THE 11th SWEDISH PRODUCTION SYMPOSIUM (SPS24)