The systems-of-systems (SoS) research group studies complex socio-technical systems in which the constituent elements have a certain degree of independence. Some of the topics investigated are methods for modeling and analysis of SoS, architecture, risk management, and value creation.
The systems-of-systems (SoS) research group studies all aspects relevant to the understanding and development of complex systems where the constituent parts are themselves systems with some independence. The constituent systems collaborate to achieve shared interests, while also retaining their individual objectives.
The research interests of the group are broad, and include a number of topics related to SoS:
SoS development: Methods and tools for modeling, analysis, and simulation; SoS architecting; and processes and methods for collaborative engineering.
SoS value creation: Business models; software and data ecosystems; and issues of trust (including risk, safety, security).
SoS fundamentals: Theoretical concepts; socio-technical aspects; and intelligent collaborations.
Most of the research in the group is done in collaboration with industry or societal actors. Application domains include transportation, construction, process and manufacturing industries, crisis management, energy, aerospace, and defense.
Core Ontology Usability: From a Formalized Knowledge Base to the Development of a System of Systems Domain Understanding (Mar 2026) Joyce Martin, Jakob Axelsson, Jan Carlson Systems 14(3) (Systems)
Mapping a System of Systems Core Ontology to a Foundational Ontology (Mar 2026) Joyce Martin, Jakob Axelsson, Jan Carlson 14th International Conference on Model-Based Software and Systems Engineering (MODELSWARD 2026)
Strengths and Limitations of Existing STAMP Tools for Analyzing System of Systems Risks (May 2025) Marjorie Pettersson, Jakob Axelsson, Anna Johansson , Pontus Svenson
Characteristics and models for energy improvements of cyclic transport operations in mining (Jan 2025) David Rylander , Jakob Axelsson, Peter Wallin, Stefan Cedergren International Journal of Mining and Mineral Engineering (IJMME)
DAT (Dec 2024) Ali Asghar Sharifi, Ali Zoljodi , Masoud Daneshtalab Sensors (MDPI Sensors)
A Hybrid Ontology for Identifying Safety Hazards and Security Threats (Nov 2024) Malina Adach, Alessio Bucaioni, Federico Ciccozzi The 8th International Conference on System Reliability and Safety (ICSRS24)