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 - 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 | |
| Publication status | Published - 28 Oct 2020 |
| Event | 13th IEEE International Conference on Software Testing, Verification and Validation, ICST 2020 - Porto, Portugal Duration: 23 Mar 2020 → 27 Mar 2020 |
Conference
| Conference | 13th IEEE International Conference on Software Testing, Verification and Validation, ICST 2020 |
|---|---|
| Country/Territory | Portugal |
| City | Porto |
| Period | 23/03/20 → 27/03/20 |
Funding
Funded by EU ICT-2018-3 H2020 Programme, grant nr. 856716 and by national funds through FCT, Funda¸cão para a Ciência e a Tecnologia,under project UIDB/50021/2020
Keywords
- agent-based testing
- AI-based testing
- testing computer game
- testing virtual reality
- user experience testing
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