Architecture Design for Human-Driven Systems
This work addresses the challenge of integrating human factors into system engineering for domain-specific applications like cultural heritage management, representing an incremental advancement.
The paper tackles the problem of aligning architectural design and quality of service with human quality of experience in socio-technical systems, resulting in a simulation-based approach that proposes optimal models for scenarios like crowd management at the Uffizi Galleries.
This paper highlights humans' social and mobility behaviors' role in the continuous engineering of sustainable socio-technical systems. Our approach relates the humans' characteristics and intentions with the system's goals, and models such interaction. Such a modeling approach aligns the architectural design and associated quality of service (QoS) with humans' quality of experience (QoE). We design a simulation environment that combines agent-based social simulation (ABSS) with architectural models generated through a model-driven engineering approach. Our modeling approach facilitates choosing the best architectural model and system configuration to enhance both the humans' and system's sustainability. We apply our approach to the Uffizi Galleries crowd management system. Taking advantage of real data, we model different scenarios that impact QoE. We then assess various architectural models with different SW/HW configurations to propose the optimal model based on different scenarios concerning QoS-QoE requirements.