ASQAP 2025 program committee.
ASQAP'25 is the First International Workshop on Autonomous System Quality Assurance and Prediction with Digital Twins. It will be co-located with ETAPS 2020 in Hamilton, Canada.
From the workshop’s Web page:
[Return Home] [News Archive]Using digital twins in autonomous systems is crucial for ensuring quality assurance and enhancing predictive capabilities. This technology enables real-time monitoring and simulation of system behavior, providing a detailed virtual replica that facilitates advanced testing and the correction of potential faults before physical production. Digital twins also support optimization of design and operational processes, reducing development times and enhancing overall efficiency. Moreover, by analyzing large datasets and simulating complex scenarios, digital twins aid in developing advanced algorithms and predictive resource management, improving system resilience and adaptability.
However, several challenges emerge in realizing a digital twin. This process involves creating detailed models of the system and its environment, which must remain aligned with both the environment’s dynamic and open nature and the hardware status of the physical twin. This poses a significant challenge, as both autonomous systems and their digital twins must continually adjust to changes to maintain accuracy and functionality. Runtime techniques are therefore required to verify and adapt both autonomous systems and their digital twins.
Despite the great interest in enhancing autonomous systems’ quality assurance and prediction through digital twins, no common methodologies, model-based techniques, or formal aspects have been fully established.
ASQAP 2025 aims to provide a forum for sharing and discussing innovative contributions to both formal and practical approaches in the analysis and development of methodologies, including digital twins, for the quality assurance of autonomous systems.