Adrien Mouaffo, Kavyashree Jamboti, Davide Taibi

• Most of the evolution in ambient assisted living is due to embedded systems that dynamically adapt themself to react to environmental changes or component/subsystem failures to maintain a certain level of safety. Following this evolution fault tree analysis techniques have been extended with concept for dynamic adaptation but resulting techniques such as dynamic fault trees or state event fault trees analysis are not widely used as expected. In this report we describe a controlled experiment to analyze these two techniques with regard to their applicability and efficiency in modeling dynamic behavior of ambient assisted living systems. Results of the experiment show that Dynamic Fault Trees are easier and more effective to use, although they produce better results (models) with State Events Fault Trees.