Agent-based Testing of Extended Reality Systems

Rui Prada; I. S. W. B. Prasetya; Fitsum Meshesha Kifetew; Frank Dignum; Tanja E. J. Vos; Jason Lander; Jean-Yves Donnart; Alexandre Kazmierowski; Joseph Davidson; Pedro M. Fernandes

doi:10.1109/ICST46399.2020.00051

Agent-based Testing of Extended Reality Systems

Rui Prada, I. S. W. B. Prasetya, Fitsum Meshesha Kifetew, Frank Dignum, Tanja E. J. Vos, Jason Lander, Jean-Yves Donnart, Alexandre Kazmierowski, Joseph Davidson, Pedro M. Fernandes

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

Abstract

Testing for quality assurance (QA) is a crucial step in the development of Extended Reality (XR) systems that typically follow iterative design and development cycles. Bringing automation to these testing procedures will increase the productivity of XR developers. However, given the complexity of the XR environments and the User Experience (UX) demands, achieving this is highly challenging. We propose to address this issue through the creation of autonomous cognitive test agents that will have the ability to cope with the complexity of the interaction space by intelligently explore the most prominent interactions given a test goal and support the assessment of affective properties of the UX by playing the role of users.

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	2020 IEEE 13th International Conference on Software Testing, Verification and Validation: ICST 2020
Publisher	IEEE
Pages	414-417
Number of pages	4
ISBN (Electronic)	9781728157771
ISBN (Print)	978-1-7281-5779-5
DOIs	https://doi.org/10.1109/ICST46399.2020.00051
Publication status	Published - Aug 2020
Event	13th International Conference on Software Testing, Validation and Verification - Porto, Portugal Duration: 24 Oct 2020 → 28 Oct 2020

Conference

Conference	13th International Conference on Software Testing, Validation and Verification
Abbreviated title	ICST 2020
Country/Territory	Portugal
City	Porto
Period	24/10/20 → 28/10/20

Keywords

AI-based testing
agent-based testing
testing computer game
testing virtual reality
user experience testing

Access to Document

10.1109/ICST46399.2020.00051

Cite this

Prada, R., Prasetya, I. S. W. B., Kifetew, F. M., Dignum, F., Vos, T. E. J., Lander, J., Donnart, J.-Y., Kazmierowski, A., Davidson, J., & Fernandes, P. M. (2020). Agent-based Testing of Extended Reality Systems. In Proceedings: 2020 IEEE 13th International Conference on Software Testing, Verification and Validation: ICST 2020 (pp. 414-417). IEEE. https://doi.org/10.1109/ICST46399.2020.00051

@inproceedings{a87f04091d1140f092b95623f521901b,

title = "Agent-based Testing of Extended Reality Systems",

abstract = "Testing for quality assurance (QA) is a crucial step in the development of Extended Reality (XR) systems that typically follow iterative design and development cycles. Bringing automation to these testing procedures will increase the productivity of XR developers. However, given the complexity of the XR environments and the User Experience (UX) demands, achieving this is highly challenging. We propose to address this issue through the creation of autonomous cognitive test agents that will have the ability to cope with the complexity of the interaction space by intelligently explore the most prominent interactions given a test goal and support the assessment of affective properties of the UX by playing the role of users.",

keywords = "AI-based testing, agent-based testing, testing computer game, testing virtual reality, user experience testing",

author = "Rui Prada and Prasetya, {I. S. W. B.} and Kifetew, {Fitsum Meshesha} and Frank Dignum and Vos, {Tanja E. J.} and Jason Lander and Jean-Yves Donnart and Alexandre Kazmierowski and Joseph Davidson and Fernandes, {Pedro M.}",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 13th International Conference on Software Testing, Validation and Verification, ICST 2020 ; Conference date: 24-10-2020 Through 28-10-2020",

year = "2020",

month = aug,

doi = "10.1109/ICST46399.2020.00051",

language = "English",

isbn = "978-1-7281-5779-5",

pages = "414--417",

booktitle = "Proceedings",

publisher = "IEEE",

address = "United States",

}

Prada, R, Prasetya, ISWB, Kifetew, FM, Dignum, F, Vos, TEJ, Lander, J, Donnart, J-Y, Kazmierowski, A, Davidson, J & Fernandes, PM 2020, Agent-based Testing of Extended Reality Systems. in Proceedings: 2020 IEEE 13th International Conference on Software Testing, Verification and Validation: ICST 2020. IEEE, pp. 414-417, 13th International Conference on Software Testing, Validation and Verification, Porto, Portugal, 24/10/20. https://doi.org/10.1109/ICST46399.2020.00051

Agent-based Testing of Extended Reality Systems. / Prada, Rui; Prasetya, I. S. W. B.; Kifetew, Fitsum Meshesha et al.
Proceedings: 2020 IEEE 13th International Conference on Software Testing, Verification and Validation: ICST 2020. IEEE, 2020. p. 414-417.

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

TY - GEN

T1 - Agent-based Testing of Extended Reality Systems

AU - Prada, Rui

AU - Prasetya, I. S. W. B.

AU - Kifetew, Fitsum Meshesha

AU - Dignum, Frank

AU - Vos, Tanja E. J.

AU - Lander, Jason

AU - Donnart, Jean-Yves

AU - Kazmierowski, Alexandre

AU - Davidson, Joseph

AU - Fernandes, Pedro M.

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020/8

Y1 - 2020/8

N2 - Testing for quality assurance (QA) is a crucial step in the development of Extended Reality (XR) systems that typically follow iterative design and development cycles. Bringing automation to these testing procedures will increase the productivity of XR developers. However, given the complexity of the XR environments and the User Experience (UX) demands, achieving this is highly challenging. We propose to address this issue through the creation of autonomous cognitive test agents that will have the ability to cope with the complexity of the interaction space by intelligently explore the most prominent interactions given a test goal and support the assessment of affective properties of the UX by playing the role of users.

AB - Testing for quality assurance (QA) is a crucial step in the development of Extended Reality (XR) systems that typically follow iterative design and development cycles. Bringing automation to these testing procedures will increase the productivity of XR developers. However, given the complexity of the XR environments and the User Experience (UX) demands, achieving this is highly challenging. We propose to address this issue through the creation of autonomous cognitive test agents that will have the ability to cope with the complexity of the interaction space by intelligently explore the most prominent interactions given a test goal and support the assessment of affective properties of the UX by playing the role of users.

KW - AI-based testing

KW - agent-based testing

KW - testing computer game

KW - testing virtual reality

KW - user experience testing

U2 - 10.1109/ICST46399.2020.00051

DO - 10.1109/ICST46399.2020.00051

M3 - Conference Article in proceeding

SN - 978-1-7281-5779-5

SP - 414

EP - 417

BT - Proceedings

PB - IEEE

T2 - 13th International Conference on Software Testing, Validation and Verification

Y2 - 24 October 2020 through 28 October 2020

ER -

Agent-based Testing of Extended Reality Systems

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this