Yaniv Mordecai
Papers
2
Total Citations
40
H-Index
2
About
Yaniv Mordecai’s research centers on model-based requirements engineering, conceptual modeling, and system-based decision-making for complex sociotechnical systems. His most influential work, “Model-based requirements engineering: Architecting for system requirements with stakeholders in mind” (2017, 31 citations), introduces a structured approach to transitioning from stakeholder needs in the problem domain to a conceptual solution architecture. This contribution bridges the gap between requirements specification and system design, offering practitioners a repeatable method for iterative, stakeholder-driven development. In his earlier work, “Conceptual Modeling of System‐Based Decision‐Making” (2014, 9 citations), Mordecai explores how intelligent agents and autonomous mechanisms—such as cyber-physical systems—can be modeled to enhance decision execution capabilities. His research is particularly relevant to the engineering of autonomous and AI-augmented systems, where clarity of requirements and decision logic is critical. Mordecai’s contributions support engineers and researchers in managing complexity through formal modeling, making his work a valuable reference for those tackling modern system-of-systems challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 25.3.2 Conceptual Modeling of System‐Based Decision‐Making9 citations · 2014