ICST 2021 (series) / AIST 2021 (series) / AIST 2021 /
An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems
Mon 12 Apr 2021 12:00 - 12:20 at Muro Alto - AIST Papers Session I
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 frameworkâs 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.
Mon 12 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
Mon 12 Apr
Displayed time zone: Brasilia, Distrito Federal, Brazil change
11:00 - 12:20 | |||
11:00 30mPaper | Agents for Automated User Experience Testing AIST DOI Pre-print Media Attached | ||
11:30 30mPaper | DeepRace: A learning-based data race detector AIST | ||
12:00 20mPaper | An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems AIST Wishnu Prasetya Utrecht University, Samira Shirzadehhajimahmood , Saba Gholizadeh Ansari Utrecht University, Rui Prada Universidade de Lisboa, Pedro Fernandes Universidade de Lisboa Pre-print Media Attached |