publication . Conference object . Other literature type . 2020

Aplib: An Agent Programming Library for Testing Games

Prasetya, Wishnu; Dastani, Mehdi;
Open Access English
  • Published: 02 Nov 2020
Testing modern computer games is notoriously hard. Highly dynamic behavior, inherent non-determinism, and fine grained inter activity blow up their state space; too large for traditional auto- mated testing techniques. An agent-based testing approach offers an alternative as agents’ goal driven planning, adaptivity, and reasoning ability can provide an extra edge. This paper provides a summary of aplib, a Java library for programming intelligent test agents, featuring tactical programming as an abstract way to exert control on agents’ underlying reasoning based behavior. Aplib is implemented in such a way to provide the fluency of a Domain Specific Language (DSL...
free text keywords: automated game testing, AI for automated testing, intelligent agents for testing, agents tactical programming
Funded by
EC| iv4XR
Intelligent Verification/Validation for Extended Reality Based Systems
  • Funder: European Commission (EC)
  • Project Code: 856716
  • Funding stream: H2020 | RIA
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Conference object . 2020
Provider: ZENODO
Other literature type . 2020
Provider: Datacite
Other literature type . 2020
Provider: Datacite
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