An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems, a Short Paper

I. S. W. B. Prasetya, Samira Shirzadehhajimahmood, Saba Gholizadeh Ansari, Pedro Fernandes, Rui Prada

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This short paper presents an architectural overview of an agent-based framework called iv4XR for automated testing that is currently under development by an H2020 project with the same name. The framework’s intended main use case of is testing the family of Extended Reality (XR) based systems (e.g. 3D games, VR sytems, AR systems), though the approach can indeed be adapted to target other types of interactive systems. The framework is unique in that it is an agent-based system. Agents are inherently reactive, and therefore are arguably a natural match to deal with interactive systems. Moreover, it is also a natural vessel for mounting and combining different AI capabilities, e.g. reasoning, navigation, and learning.
Original languageEnglish
Title of host publication2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
PublisherIEEE
Pages213-217
Number of pages5
ISBN (Electronic)9781665444569
ISBN (Print)978-1-6654-4457-6
DOIs
Publication statusPublished - 16 Apr 2021
Event2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) - Porto de Galinhas, Brazil
Duration: 12 Apr 202116 Apr 2021

Conference

Conference2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Period12/04/2116/04/21

Keywords

  • Software testing
  • Three-dimensional displays
  • Navigation
  • Extended reality
  • Interactive systems
  • Conferences
  • Games

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