Rate My Professor Mauro Caporuscio

Caporuscio’s research centers on the application of software engineering methodologies and techniques to self-adaptive systems, placing particular emphasis on decentralization and resilience. His interests extend to cyber-physical systems, digital twins of organizations, sustainable and green software computing, QoS-aware service assembly, and model-driven engineering. He has produced over 70 peer-reviewed publications in leading journals and conferences. Key contributions include “GoPrime: A Fully Decentralized Middleware for Utility-Aware Service Assembly” (IEEE Transactions on Software Engineering, 2016), “ubiSOAP: A Service-Oriented Middleware for Ubiquitous Networking” (IEEE Transactions on Services Computing, 2012), “Design and Evaluation of a Support Service for Mobile, Wireless Publish/Subscribe Applications” (IEEE Transactions on Software Engineering, 2003), “Developing and Evolving a Digital Twin of the Organization” (IEEE Access, 2024), “A self-sustainable service assembly for decentralized computing environments” (Journal of Systems and Software, 2026), and “Architecting software monitors for control-flow anomaly detection through large language models and conformance checking” (Information and Software Technology, 2026). In 2021, he earned the Best Paper Award at the European Conference on Software Architecture for a methodology aimed at reducing software energy consumption. Caporuscio leads and collaborates on projects such as doctoral research on AI applications in software architecture development at Volvo Construction Equipment, data-driven ground-fault location, aligning architectures for digital twins, and initiatives in smart industry and cyber-physical systems research groups. His work supports Linnaeus University’s engagement with the Green Software Foundation to advance sustainable software practices.