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This summary is machine-generated.

This study introduces a meta-model based methodology to simplify developing context-aware applications for the Internet of Things (IoT). Programmers with no prior experience could easily build context-aware systems after brief training, demonstrating rapid implementation potential.

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Area of Science:

  • Computer Science
  • Software Engineering
  • Human-Computer Interaction

Background:

  • Context-aware applications are widely researched but require complex development.
  • The Internet of Things (IoT) can benefit from enhanced context awareness.
  • A suitable methodology and tools are needed to ease the development of context-aware applications.

Purpose of the Study:

  • To present a meta-model based methodology for developing context-aware applications.
  • To enable the definition and building of application-specific context models and sensor data integration without programming.
  • To demonstrate the methodology's effectiveness with a practical example.

Main Methods:

  • Developed a meta-model based methodology for context-aware application development.
  • Created a system for defining context models and integrating sensor data without coding.
  • Implemented a COVID-safe navigation application as a case study.

Main Results:

  • Programmers without prior context-awareness experience understood the concepts easily.
  • Effective use of the methodology was achieved after short training.
  • The methodology facilitated rapid development of context-aware applications.

Conclusions:

  • The meta-model based methodology simplifies the development of context-aware applications.
  • This approach is suitable for various context-aware applications with similar characteristics.
  • Further optimization potential for the methodology has been identified.