Conference paper Open Access
Prasetya, Wishnu;
Dastani, Mehdi;
Prada, Rui;
Vos, Tanja E. J.;
Dignum, Frank;
Kifetew, Fitsum
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">automated game testing</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">AI for automated testing</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">intelligent agents for testing</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">agents tactical programming</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">intelligent agent programming</subfield> </datafield> <controlfield tag="005">20210716230316.0</controlfield> <controlfield tag="001">4127232</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Utrecht Univ, Netherlands</subfield> <subfield code="a">Dastani, Mehdi</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">INESC-ID and Instituto Superior Tècnico, Univ. de Lisboa, Portugal</subfield> <subfield code="a">Prada, Rui</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Univ. Politecnica de Valencia, Spain</subfield> <subfield code="a">Vos, Tanja E. J.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Umea Univ, Sweden</subfield> <subfield code="a">Dignum, Frank</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Fondazione Bruno Kessler</subfield> <subfield code="0">(orcid)0000-0003-1860-8666</subfield> <subfield code="a">Kifetew, Fitsum</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">2815383</subfield> <subfield code="z">md5:7f0bd14b778184503ee39718eff2ecc7</subfield> <subfield code="u">https://zenodo.org/record/4127232/files/EMAS2020_aplib_paper.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2020-05-08</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire</subfield> <subfield code="p">user-iv4xr-project</subfield> <subfield code="o">oai:zenodo.org:4127232</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Utrecht Univ, Netherlands</subfield> <subfield code="0">(orcid)0000-0002-3421-4635</subfield> <subfield code="a">Prasetya, Wishnu</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Aplib: Tactical Agents for Testing Computer Games</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-iv4xr-project</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">856716</subfield> <subfield code="a">Intelligent Verification/Validation for Extended Reality Based Systems</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Modern interactive software, such as computer games, employ complex user interfaces. Although these user interfaces make the games attractive and&nbsp;powerful, unfortunately they also make them extremely difficult to test. Not only&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<br> automated testing techniques have trouble handling it. An agent-based testing approach offers an alternative solution: agents&rsquo; goal driven planning, adaptivity, and&nbsp;reasoning ability can provide an extra edge towards effective navigation in complex interaction space. This paper presents aplib, a Java library for programming&nbsp;intelligent test agents, featuring novel tactical programming as an abstract way&nbsp;to exert control over agents&rsquo; underlying reasoning-based behavior. This type of&nbsp;control is suitable for programming testing tasks. Aplib is implemented in such a&nbsp;way to provide the fluency of a Domain Specific Language (DSL). Its embedded&nbsp;DSL approach also means that aplib programmers will get all the advantages that&nbsp;Java programmers get: rich language features and a whole array of development&nbsp;tools.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.4127231</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.4127232</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">conferencepaper</subfield> </datafield> </record>
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