Building Reliable Systems in Practice via the Integration of Model-Based and Knowledge-Centric Systems Engineering
Keywords:
Building Reliable Systems, Centric Systems, AIAbstract
The increasing complexity and interconnectivity of modern software-intensive systems have significantly intensified the need for dependable engineering methodologies capable of ensuring reliability throughout the system lifecycle. Systems deployed in safety-critical and mission-critical domains, including aerospace, automotive, healthcare, transportation, and industrial automation, require rigorous engineering approaches to guarantee operational reliability, safety, and maintainability. Traditional engineering practices often struggle to manage the growing complexity of these systems, particularly when reliability considerations must be integrated with architectural design, requirements management, traceability, and quality assurance activities. In response to these challenges, this study proposes a comprehensive methodology that integrates Model-Based Systems Engineering (MBSE) and Knowledge-Centric Systems Engineering (KCSE) to support the practical development of dependable systems.