TY - GEN
T1 - Enhancing Model-Based System Architecting Through Formalized Decision Management
AU - Hofgen, Josua
AU - Vogel-Heuser, Birgit
AU - Vicaria, Alejandra
AU - Pouzolz, Francois
AU - Kurzhals, Christian
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - System architecture decisions are typically informally captured in design documents. This practice leads to a loss of knowledge that impedes later activities like design changes, impact analysis, and reuse. Model-Based Systems Engineering (MBSE) frameworks support the development of increasingly complex systems but must address the problem of capitalization on architectural knowledge. To this end the "Decision Ontology for System Architectures (DOSA)"is developed to provide a formalized data model to capture system architecture decisions. DOSA is developed through a synthesis of decisions observed while developing an architecture model for a preliminary study of a novel satellite navigation system at Airbus Defence and Space. The approach is integrated into an MBSE framework enabling engineers to capture decisions that influence the architecture's characteristics while developing the system model and imminently trace decision to artifacts of the system architecture. Subsequent visual inspection and formal querying of the decision graph facilitates the analysis of made decisions, and their interrelations.
AB - System architecture decisions are typically informally captured in design documents. This practice leads to a loss of knowledge that impedes later activities like design changes, impact analysis, and reuse. Model-Based Systems Engineering (MBSE) frameworks support the development of increasingly complex systems but must address the problem of capitalization on architectural knowledge. To this end the "Decision Ontology for System Architectures (DOSA)"is developed to provide a formalized data model to capture system architecture decisions. DOSA is developed through a synthesis of decisions observed while developing an architecture model for a preliminary study of a novel satellite navigation system at Airbus Defence and Space. The approach is integrated into an MBSE framework enabling engineers to capture decisions that influence the architecture's characteristics while developing the system model and imminently trace decision to artifacts of the system architecture. Subsequent visual inspection and formal querying of the decision graph facilitates the analysis of made decisions, and their interrelations.
KW - Decision Management
KW - MBSE
KW - Ontology
KW - System Architecture
UR - http://www.scopus.com/inward/record.url?scp=85208265728&partnerID=8YFLogxK
U2 - 10.1109/CASE59546.2024.10711329
DO - 10.1109/CASE59546.2024.10711329
M3 - Conference contribution
AN - SCOPUS:85208265728
T3 - IEEE International Conference on Automation Science and Engineering
SP - 1053
EP - 1060
BT - 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Y2 - 28 August 2024 through 1 September 2024
ER -