@inproceedings{ThelenEderMelzeretal., author = {Thelen, Simon and Eder, Friedrich and Melzer, Matthias and Nunes, Danilo Weber and Stadler, Michael and Rechenauer, Christian and Obergrießer, Mathias and Jubeh, Ruben and Volbert, Klaus and D{\"u}nnweber, Jan}, title = {A Slim Digital Twin For A Smart City And Its Residents}, series = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam}, booktitle = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam}, publisher = {ACM}, isbn = {979-8-4007-0891-6}, doi = {10.1145/3628797.3628936}, pages = {8 -- 15}, abstract = {In the engineering domain, representing real-world objects using a body of data, called a digital twin, which is frequently updated by "live" measurements, has shown various advantages over tradi- tional modelling and simulation techniques. Consequently, urban planners have a strong interest in digital twin technology, since it provides them with a laboratory for experimenting with data before making far-reaching decisions. Realizing these decisions involves the work of professionals in the architecture, engineering and construction (AEC) domain who nowadays collaborate via the methodology of building information modeling (BIM). At the same time, the citizen plays an integral role both in the data acquisition phase, while also being a beneficiary of the improved resource management strategies. In this paper, we present a prototype for a "digital energy twin" platform we designed in cooperation with the city of Regensburg. We show how our extensible platform de- sign can satisfy the various requirements of multiple user groups through a series of data processing solutions and visualizations, in- dicating valuable design and implementation guidelines for future projects. In particular, we focus on two example use cases concern- ing building electricity monitoring and BIM. By implementing a flexible data processing architecture we can involve citizens in the data acquisition process, meeting the demands of modern users regarding maximum transparency in the handling of their data.}, language = {en} } @inproceedings{NorbisrathRossiJubehetal., author = {Norbisrath, Ulrich and Rossi, Bruno and Jubeh, Ruben and Heydarov, Araz}, title = {Multi-Stage Testing for Open Source IoT Frameworks}, series = {2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 5-8. October 2025, Vienna}, booktitle = {2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 5-8. October 2025, Vienna}, publisher = {IEEE}, isbn = {979-8-3315-3358-8}, doi = {10.1109/SMC58881.2025.11343478}, pages = {4685 -- 4690}, abstract = {The Internet of Things (IoT) has rapidly evolved, integrating networked intelligence into a web of things, servers, and cloudlets. Although there are various tools and approaches for software testing, the broader field of IoT testing presents unique challenges due to the heterogeneity of devices, large-scale deployments, dynamic environments, and real-time needs. This paper presents our approach to developing a multi-stage testing framework for the IoTempower framework, addressing the challenges of testing a versatile and evolving open-source Internet-of-Things framework used extensively in educational settings and beyond. The framework incorporates compilation testing, integration testing, and system testing with a focus on regression testing. This multi-stage testing approach allows us to validate the framework's functionality at various granularities, from the correct compilation of individual drivers to the seamless interaction of deployed hardware. This approach aims to proactively identify and prevent regressions, facilitating the integration of new features and enhancements without losing our scope of providing a real hands-on IoT experience in the classroom.}, language = {en} }