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Modeling-framework for model-based software engineering of complex Internet of things systems.

Khurrum Mustafa Abbasi1, Tamim Ahmed Khan1, Irfan Ul Haq2

  • 1Department of Software Engineering, Bahria University Islamabad, Pakistan.

Mathematical Biosciences and Engineering : MBE
|November 24, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a framework for modeling Internet of Things (IoT) systems, integrating discrete and continuous time approaches. It enables collaborative development and models heterogeneous components for improved IoT software engineering.

Keywords:
Internet of thingsmodel driven engineeringmodeling complex systemsmodeling frameworkservice-oriented computingsoftware engineering

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Area of Science:

  • Computer Science
  • Software Engineering
  • Systems Engineering

Background:

  • Internet of Things (IoT) systems involve diverse, heterogeneous components requiring collaboration among professionals from various domains.
  • Developing complete IoT systems faces challenges in integrating components with intrinsically varying characteristics and composing them into a unified system.
  • Existing approaches may struggle to provide a common platform for collaboration and effectively model the complexity of heterogeneous IoT environments.

Purpose of the Study:

  • To propose a novel framework for modeling and simulating Internet of Things (IoT) systems.
  • To enable the combined use of discrete and continuous time modeling approaches for IoT system development.
  • To provide a common platform for software engineering, overcoming communication gaps and integrating heterogeneous IoT components.

Main Methods:

  • The framework integrates discrete and continuous time modeling and simulation approaches.
  • It employs a combination of Agent-based modeling, Aspect-oriented modeling, contract-based modeling, and services-oriented modeling concepts.
  • The framework provides a mechanism for modeling Ad-hoc and general IoT systems, including a composition strategy for heterogeneous subsystems.

Main Results:

  • The proposed framework successfully models discrete, continuous, Ad-hoc, and general IoT systems.
  • It demonstrates a composition mechanism for integrating heterogeneous subsystems within IoT architectures.
  • The framework was validated through a proof-of-concept using a service-oriented IoT system scenario.

Conclusions:

  • Model-based software engineering, facilitated by the proposed framework, can bridge communication gaps among stakeholders in IoT development.
  • The framework enhances the completeness and consistency of IoT software models by providing mechanisms to model different viewpoints.
  • This approach offers a robust solution for modeling and integrating heterogeneous components in complex IoT systems.