| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Prasetya, S.W.B. (Whisnu) | |
| dc.contributor.advisor | Dignum, F.P.M. (Frank) | |
| dc.contributor.author | Kokkinos, G. | |
| dc.date.accessioned | 2018-02-26T18:00:55Z | |
| dc.date.available | 2018-02-26T18:00:55Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/28680 | |
| dc.description.abstract | With the coming of Virtual Reality (VR) and its increased computational
requirements, performance testing has become extremely
demanding. In this study automation of such testing is investigated
by comparing results from manual testers versus adaptive agents
that play through a First Person Shooter (FPS) game. Results indicate
that automation of performance testing can provide good
results and is on par with manual testers in several aspects. Unfortunately
we can’t conclude that such an automation as described
here can replace the human tester but it can certainly help ease the
workload. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 5158987 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | Automated Performance Testing for Virtual Reality | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | Testing, Virtual Reality, Agents | |
| dc.subject.courseuu | Game and Media Technology | |
