Context - The Internet of Things (IoT) refers to a distributed network of smart, connected devices that collaboratively sense, process, and act upon real-world environments. Designing such systems requires managing complex architectural concerns spanning software logic, hardware configuration, and spatial deployment, as well as validating non-functional properties like energy consumption and communication efficiency. Objective - To provide a unified, architecture-centric framework that supports the description, simulation, and automated code generation of IoT applications across software, hardware, and physical space dimensions. Method - We use Model Driven Engineering(MDE) approaches to develop CAPS, a framework that uniquely integrates multi-view architectural modeling, energy- and traffic-aware simulation via CupCarbon, and seamless generation of deployable Arduino code from high-level design models. Result - CAPS enables a traceable and cohesive development process from architectural design to physical deployment. Case studies from diverse domains demonstrate its ability to improve modeling expressiveness, maintain transformation fidelity, and reduce development time through automation. Conclusion - CAPS unifies architectural modeling, simulation, and code generation into a novel, end-to-end toolchain, addressing fragmentation in the IoT development lifecycle and enhancing early validation and traceability.

Title

Journal of Systems and Software

Publisher

Elsevier

Publisher Country

United States of America

Indexing

Scopus

Impact Factor

None

Publication Type

Online only

Volume

--

Year

--

Pages

--