May 8, 2020 Conference paper Open Access

Prasetya, Wishnu; Dastani, Mehdi; Prada, Rui; Vos, Tanja E. J.; Dignum, Frank; Kifetew, Fitsum

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  <identifier identifierType="DOI">10.5281/zenodo.4127232</identifier>
  <creators>
    <creator>
      <creatorName>Prasetya, Wishnu</creatorName>
      <givenName>Wishnu</givenName>
      <familyName>Prasetya</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3421-4635</nameIdentifier>
      <affiliation>Utrecht Univ, Netherlands</affiliation>
    </creator>
    <creator>
      <creatorName>Dastani, Mehdi</creatorName>
      <givenName>Mehdi</givenName>
      <familyName>Dastani</familyName>
      <affiliation>Utrecht Univ, Netherlands</affiliation>
    </creator>
    <creator>
      <creatorName>Prada, Rui</creatorName>
      <givenName>Rui</givenName>
      <familyName>Prada</familyName>
      <affiliation>INESC-ID and Instituto Superior Tècnico, Univ. de Lisboa, Portugal</affiliation>
    </creator>
    <creator>
      <creatorName>Vos, Tanja E. J.</creatorName>
      <givenName>Tanja E. J.</givenName>
      <familyName>Vos</familyName>
      <affiliation>Univ. Politecnica de Valencia, Spain</affiliation>
    </creator>
    <creator>
      <creatorName>Dignum, Frank</creatorName>
      <givenName>Frank</givenName>
      <familyName>Dignum</familyName>
      <affiliation>Umea Univ, Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>Kifetew, Fitsum</creatorName>
      <givenName>Fitsum</givenName>
      <familyName>Kifetew</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1860-8666</nameIdentifier>
      <affiliation>Fondazione Bruno Kessler</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Aplib: Tactical Agents for Testing Computer Games</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>automated game testing</subject>
    <subject>AI for automated testing</subject>
    <subject>intelligent agents for testing</subject>
    <subject>agents tactical programming</subject>
    <subject>intelligent agent programming</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-05-08</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4127232</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4127231</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/iv4xr-project</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Modern interactive software, such as computer games, employ complex user interfaces. Although these user interfaces make the games attractive and&amp;nbsp;powerful, unfortunately they also make them extremely difficult to test. Not only&amp;nbsp;do we have to deal with their functional complexity, but also the fine grained interactivity of their user interface blows up their interaction space, so that traditional&lt;br&gt;
automated testing techniques have trouble handling it. An agent-based testing approach offers an alternative solution: agents&amp;rsquo; goal driven planning, adaptivity, and&amp;nbsp;reasoning ability can provide an extra edge towards effective navigation in complex interaction space. This paper presents aplib, a Java library for programming&amp;nbsp;intelligent test agents, featuring novel tactical programming as an abstract way&amp;nbsp;to exert control over agents&amp;rsquo; underlying reasoning-based behavior. This type of&amp;nbsp;control is suitable for programming testing tasks. Aplib is implemented in such a&amp;nbsp;way to provide the fluency of a Domain Specific Language (DSL). Its embedded&amp;nbsp;DSL approach also means that aplib programmers will get all the advantages that&amp;nbsp;Java programmers get: rich language features and a whole array of development&amp;nbsp;tools.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/856716/">856716</awardNumber>
      <awardTitle>Intelligent Verification/Validation for Extended Reality Based Systems</awardTitle>
    </fundingReference>
  </fundingReferences>
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