Conference paper Open Access

Aplib: An Agent Programming Library for Testing Games

Prasetya, Wishnu; Dastani, Mehdi


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        <foaf:name>Prasetya, Wishnu</foaf:name>
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        <foaf:name>Dastani, Mehdi</foaf:name>
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    <dct:title>Aplib: An Agent Programming Library for Testing Games</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dcat:keyword>automated game testing</dcat:keyword>
    <dcat:keyword>AI for automated testing</dcat:keyword>
    <dcat:keyword>intelligent agents for testing</dcat:keyword>
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    <dct:description>&lt;p&gt;Testing modern computer games is notoriously hard. Highly dynamic behavior, inherent non-determinism, and fine grained inter&amp;nbsp;activity blow up their state space; too large for traditional auto- mated testing techniques. An agent-based testing approach offers an alternative as agents&amp;rsquo; 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&amp;rsquo; 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.&lt;/p&gt;</dct:description>
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