Throughout the evolution of software systems, empirical methodologies have been used in
their development process, even in the Internet of Things (IoT) paradigm, to develop IoT …

Contemporary software systems, such as the Internet of Things (IoT), Industry 4.0, and Smart
Cities are new technology paradigms that offer challenges for their construction since they …

Advances in wireless communication, in computing and in sensing devices, along with the
cost reduction of these technologies, have prompted and accelerated the development of …

Current IoT systems are highly distributed systems that integrate cloud, edge, and fog
computing approaches depending on where intelligence and processing capabilities are …

The large-scale data exchange envisioned to occur in distributed IoTs is prone to raise
issues regarding privacy, confidentiality and authentication at the cyberspace level. This …

Application development for the Internet of Things (IoT) poses immense challenges due to
the lack of standard development frameworks, tools, and techniques to assist end users in …

Modeling languages have gained ever-increasing importance for the Internet of Things (IoT)
domain for improving the productivity and quality of IoT developments. In this study, we …

Internet of Things (IoT) is being applied to areas as smart-cities, home environment,
agriculture, industry, etc. Developing, deploying and testing IoT projects require high …

The Internet of Things (IoT) paradigm is growing, affecting human life and aiming to solve
problems in the real world, ie, in education, healthcare, smart homes, intelligent …

A common feature of the Internet of Things (IoT) is the high heterogeneity, regarding network
protocols, data formats, hardware and software platforms. Aiming to deal with such a degree …