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

doi:10.1109/ICSTW52544.2021.00044

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

INESC-ID and Instituto Superior Técnico

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Publisher	IEEE
Pages	213-217
Number of pages	5
ISBN (Electronic)	9781665444569
ISBN (Print)	978-1-6654-4457-6
DOIs	https://doi.org/10.1109/ICSTW52544.2021.00044
Publication status	Published - 16 Apr 2021
Event	2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) - Porto de Galinhas, Brazil Duration: 12 Apr 2021 → 16 Apr 2021

Conference

Conference	2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Period	12/04/21 → 16/04/21

Bibliographical note

Funding Information:
This work is supported by EU Horizon 2020 research and innovation programme, grant 856716 project iv4XR (Intelligent Verification/Validation for Extended Reality Based Systems) and by national funds through FCT, Fundac¸ão para a Ciência e a Tecnologia, project UIDB/50021/2020 1https://github.com/iv4xr-project/aplib

Publisher Copyright:
© 2021 IEEE.

Funding

This work is supported by EU Horizon 2020 research and innovation programme, grant 856716 project iv4XR (Intelligent Verification/Validation for Extended Reality Based Systems) and by national funds through FCT, Fundac¸ão para a Ciência e a Tecnologia, project UIDB/50021/2020 1https://github.com/iv4xr-project/aplib

Keywords

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

Access to Document

10.1109/ICSTW52544.2021.00044

An_Agent-based_Architecture_for_AI-Enhanced_Automated_Testing_for_XR_Systems_a_Short_PaperFinal published version, 1.37 MBLicence: Taverne

Cite this

Prasetya, I. S. W. B., Shirzadehhajimahmood, S., Ansari, S. G., Fernandes, P., & Prada, R. (2021). An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems, a Short Paper. In 2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) (pp. 213-217). Article 9440175 IEEE. https://doi.org/10.1109/ICSTW52544.2021.00044

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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{\textquoteright}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.",

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author = "Prasetya, {I. S. W. B.} and Samira Shirzadehhajimahmood and Ansari, {Saba Gholizadeh} and Pedro Fernandes and Rui Prada",

note = "Funding Information: This work is supported by EU Horizon 2020 research and innovation programme, grant 856716 project iv4XR (Intelligent Verification/Validation for Extended Reality Based Systems) and by national funds through FCT, Fundac¸{\~a}o para a Ci{\^e}ncia e a Tecnologia, project UIDB/50021/2020 1https://github.com/iv4xr-project/aplib Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) ; Conference date: 12-04-2021 Through 16-04-2021",

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Prasetya, ISWB, Shirzadehhajimahmood, S, Ansari, SG, Fernandes, P & Prada, R 2021, An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems, a Short Paper. in 2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)., 9440175, IEEE, pp. 213-217, 2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 12/04/21. https://doi.org/10.1109/ICSTW52544.2021.00044

An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems, a Short Paper. / Prasetya, I. S. W. B.; Shirzadehhajimahmood, Samira; Ansari, Saba Gholizadeh et al.
2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2021. p. 213-217 9440175.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Funding Information: This work is supported by EU Horizon 2020 research and innovation programme, grant 856716 project iv4XR (Intelligent Verification/Validation for Extended Reality Based Systems) and by national funds through FCT, Fundac¸ão para a Ciência e a Tecnologia, project UIDB/50021/2020 1https://github.com/iv4xr-project/aplib Publisher Copyright: © 2021 IEEE.

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ER -

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

Abstract

Conference

Bibliographical note

Funding

Keywords

Access to Document

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