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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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<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>\nautomated 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>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Utrecht Univ, Netherlands", 
      "@id": "https://orcid.org/0000-0002-3421-4635", 
      "@type": "Person", 
      "name": "Prasetya, Wishnu"
    }, 
    {
      "affiliation": "Utrecht Univ, Netherlands", 
      "@type": "Person", 
      "name": "Dastani, Mehdi"
    }, 
    {
      "affiliation": "INESC-ID and Instituto Superior T\u00e8cnico, Univ. de Lisboa, Portugal", 
      "@type": "Person", 
      "name": "Prada, Rui"
    }, 
    {
      "affiliation": "Univ. Politecnica de Valencia, Spain", 
      "@type": "Person", 
      "name": "Vos, Tanja E. J."
    }, 
    {
      "affiliation": "Umea Univ, Sweden", 
      "@type": "Person", 
      "name": "Dignum, Frank"
    }, 
    {
      "affiliation": "Fondazione Bruno Kessler", 
      "@id": "https://orcid.org/0000-0003-1860-8666", 
      "@type": "Person", 
      "name": "Kifetew, Fitsum"
    }
  ], 
  "headline": "Aplib: Tactical Agents for Testing Computer Games", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-05-08", 
  "url": "https://zenodo.org/record/4127232", 
  "keywords": [
    "automated game testing", 
    "AI for automated testing", 
    "intelligent agents for testing", 
    "agents tactical programming", 
    "intelligent agent programming"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4127232", 
  "@id": "https://doi.org/10.5281/zenodo.4127232", 
  "@type": "ScholarlyArticle", 
  "name": "Aplib: Tactical Agents for Testing Computer Games"
}