November 2, 2020 Conference paper Open Access

Prasetya, Wishnu; Dastani, Mehdi

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  <dc:creator>Prasetya, Wishnu</dc:creator>
  <dc:creator>Dastani, Mehdi</dc:creator>
  <dc:date>2020-11-02</dc:date>
  <dc:description>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) while still staying in Java, and hence aplib programmers will keep all the advantages that Java programmers get: rich language features and a whole array of development tools.</dc:description>
  <dc:identifier>https://zenodo.org/record/4194485</dc:identifier>
  <dc:identifier>10.5281/zenodo.4194485</dc:identifier>
  <dc:identifier>oai:zenodo.org:4194485</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.4194484</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/iv4xr-project</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>automated game testing</dc:subject>
  <dc:subject>AI for automated testing</dc:subject>
  <dc:subject>intelligent agents for testing</dc:subject>
  <dc:subject>agents tactical programming</dc:subject>
  <dc:title>Aplib: An Agent Programming Library for Testing Games</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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