Rafael Capilla

Universidad Rey Juan Carlos, Politecnico di Milano

Papers

Total Citations

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About

Rafael Capilla is a leading researcher in software architecture, with a particular focus on dynamic variability, reconfigurable systems, and the emerging paradigm of Quality 4.0 for Industry 4.0. His work bridges the gap between theoretical software engineering and practical, adaptive industrial systems. A major contribution is his pioneering application of dynamic variability to robotics, as detailed in his highly cited 2015 paper (19 citations), which addresses the engineering challenges of creating software that can autonomously adapt to changing environments. He further advanced this field with a model-based development approach for QoS-aware autonomous robotic systems (22 citations in 2018). Most notably, Capilla’s recent work on a "Quality 4.0 Model" (45 citations in 2022) provides a foundational architectural framework for building smart, automated factories, directly impacting the future of industrial production. His research consistently demonstrates how to manage runtime variability—from environmental conditions to resource fluctuations—making complex autonomous systems more reliable and efficient. With over 86 citations across his most influential papers, Capilla’s contributions are essential reading for anyone interested in the software architecture of tomorrow’s intelligent, self-adaptive systems.