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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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4127232", 
  "language": "eng", 
  "title": "Aplib: Tactical Agents for Testing Computer Games", 
  "issued": {
    "date-parts": [
      [
        2020, 
        5, 
        8
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Prasetya, Wishnu"
    }, 
    {
      "family": "Dastani, Mehdi"
    }, 
    {
      "family": "Prada, Rui"
    }, 
    {
      "family": "Vos, Tanja E. J."
    }, 
    {
      "family": "Dignum, Frank"
    }, 
    {
      "family": "Kifetew, Fitsum"
    }
  ], 
  "type": "paper-conference", 
  "id": "4127232"
}