A Configurable Software Model of a Self-Adaptive Robotic System
Juliane Päßler, Maurice H. ter Beek, Ferruccio Damiani, Einar Broch Johnsen, Silvia Lizeth Tapia Tarifa · Science of Computer Programming · 2024
Self-adaptation, meant to increase reliability, is a crucial feature of cyber-physical systems operating in uncertain physical environments. Ensuring safety properties of self-adaptive systems is of utter importance, especially when operating in remote environments where communication with a human operator is limited, like under water or in space. This paper presents a software model that allows the analysis of one such self-adaptive system, a configurable underwater robot used for pipeline inspection, by means of the probabilistic model checker ProFeat. Furthermore, it shows that the configurable software model is easily extensible to further, possibly more complex use cases and analyses.