Е-Публикации
Технически университет - София

Abstract: Digital twins are emerging as a transformative approach for testing Internet of Things (IoT) systems, offering virtual replicas of physical environments to enhance test efficiency, scalability, and reliability. This paper presents a scalable simulation-based testing methodology driven by digital twin technology. We discuss how a digital twin of a smart home IoT system can be used to execute extensive test scenarios faster and more safely than on physical hardware. A hypothetical experimental evaluation is described in which a smart home digital twin is subjected to various sensor events, network conditions, and fault injections. Comparative analysis with traditional physical testing shows significant improvements: test coverage is broadened by simulating extreme and rare conditions, and testing time is greatly reduced through accelerated and parallelized virtual experiments. The results indicate that digital twin-driven testing can uncover 30% more faults prior to deployment and reduce testing duration by over 40% compared to conventional methods.

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