Aplib: Tactical Agents for Testing Computer Games

I. S. W. B. Prasetya; Mehdi Dastani; Rui Prada; Tanja E. J. Vos; Frank Dignum; Fitsum Meshesha Kifetew

doi:10.1007/978-3-030-66534-0_2

Aplib: Tactical Agents for Testing Computer Games

I. S. W. B. Prasetya
, Mehdi Dastani
, Rui Prada
, Tanja E. J. Vos
, Frank Dignum
, Fitsum Meshesha Kifetew

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

Abstract

Modern interactive software, such as computer games, employ complex user interfaces. Although these user interfaces make the games attractive and powerful, unfortunately they also make them extremely difficult to test. Not only 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 automated testing techniques have trouble handling it. An agent-based testing approach offers an alternative solution: agents’ goal driven planning, adaptivity, and reasoning ability can provide an extra edge towards effective navigation in complex interaction space. This paper presents aplib, a Java library for programming intelligent test agents, featuring novel tactical programming as an abstract way to exert control over agents’ underlying reasoning-based behavior. This type of control is suitable for programming testing tasks. Aplib is implemented in such a way to provide the fluency of a Domain Specific Language (DSL). Its embedded DSL approach also means that aplib programmers will get al.l the advantages that Java programmers get: rich language features and a whole array of development tools.

Original language	English
Title of host publication	Engineering Multi-Agent Systems
Subtitle of host publication	8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8–9, 2020, Revised Selected Papers
Editors	Cristina Baroglio, Jomi F. Hubner, Michael Winikoff
Publisher	Springer
Pages	21-41
Number of pages	21
Volume	12589
Edition	1
ISBN (Electronic)	9783030665340
ISBN (Print)	9783030665333
DOIs	https://doi.org/10.1007/978-3-030-66534-0_2
Publication status	Published - 7 Jan 2021
Event	8th International Workshop Engineering Multi-Agent Systems - Auckland, New Zealand Duration: 8 May 2020 → 9 May 2020 https://link.springer.com/book/10.1007/978-3-030-66534-0

Publication series

Series	Lecture Notes in Computer Science
Volume	12589
ISSN	0302-9743

Workshop

Workshop	8th International Workshop Engineering Multi-Agent Systems
Abbreviated title	EMAS 2020
Country/Territory	New Zealand
City	Auckland
Period	8/05/20 → 9/05/20
Internet address	https://link.springer.com/book/10.1007/978-3-030-66534-0

Keywords

AI for automated testing
Agents tactical programming
Automated game testing
Intelligent agent programming
Intelligent agents for testing

Access to Document

10.1007/978-3-030-66534-0_2

Cite this

Prasetya, I. S. W. B., Dastani, M., Prada, R., Vos, T. E. J., Dignum, F., & Kifetew, F. M. (2021). Aplib: Tactical Agents for Testing Computer Games. In Cristina Baroglio, Jomi F. Hubner, & Michael Winikoff (Eds.), Engineering Multi-Agent Systems: 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8–9, 2020, Revised Selected Papers (1 ed., Vol. 12589, pp. 21-41). Springer. https://doi.org/10.1007/978-3-030-66534-0_2

Prasetya, I. S. W. B. ; Dastani, Mehdi ; Prada, Rui et al. / Aplib : Tactical Agents for Testing Computer Games. Engineering Multi-Agent Systems: 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8–9, 2020, Revised Selected Papers. editor / Cristina Baroglio ; Jomi F. Hubner ; Michael Winikoff. Vol. 12589 1. ed. Springer, 2021. pp. 21-41 (Lecture Notes in Computer Science, Vol. 12589).

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abstract = "Modern interactive software, such as computer games, employ complex user interfaces. Although these user interfaces make the games attractive and powerful, unfortunately they also make them extremely difficult to test. Not only 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 automated testing techniques have trouble handling it. An agent-based testing approach offers an alternative solution: agents{\textquoteright} goal driven planning, adaptivity, and reasoning ability can provide an extra edge towards effective navigation in complex interaction space. This paper presents aplib, a Java library for programming intelligent test agents, featuring novel tactical programming as an abstract way to exert control over agents{\textquoteright} underlying reasoning-based behavior. This type of control is suitable for programming testing tasks. Aplib is implemented in such a way to provide the fluency of a Domain Specific Language (DSL). Its embedded DSL approach also means that aplib programmers will get al.l the advantages that Java programmers get: rich language features and a whole array of development tools.",

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Prasetya, ISWB, Dastani, M, Prada, R, Vos, TEJ, Dignum, F & Kifetew, FM 2021, Aplib: Tactical Agents for Testing Computer Games. in Cristina Baroglio, Jomi F. Hubner & Michael Winikoff (eds), Engineering Multi-Agent Systems: 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8–9, 2020, Revised Selected Papers. 1 edn, vol. 12589, Springer, Lecture Notes in Computer Science, vol. 12589, pp. 21-41, 8th International Workshop Engineering Multi-Agent Systems, Auckland, New Zealand, 8/05/20. https://doi.org/10.1007/978-3-030-66534-0_2

Aplib: Tactical Agents for Testing Computer Games. / Prasetya, I. S. W. B.; Dastani, Mehdi; Prada, Rui et al.
Engineering Multi-Agent Systems: 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8–9, 2020, Revised Selected Papers. ed. / Cristina Baroglio; Jomi F. Hubner; Michael Winikoff. Vol. 12589 1. ed. Springer, 2021. p. 21-41 (Lecture Notes in Computer Science, Vol. 12589).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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AU - Prasetya, I. S. W. B.

AU - Dastani, Mehdi

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AU - Dignum, Frank

AU - Kifetew, Fitsum Meshesha

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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N2 - Modern interactive software, such as computer games, employ complex user interfaces. Although these user interfaces make the games attractive and powerful, unfortunately they also make them extremely difficult to test. Not only 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 automated testing techniques have trouble handling it. An agent-based testing approach offers an alternative solution: agents’ goal driven planning, adaptivity, and reasoning ability can provide an extra edge towards effective navigation in complex interaction space. This paper presents aplib, a Java library for programming intelligent test agents, featuring novel tactical programming as an abstract way to exert control over agents’ underlying reasoning-based behavior. This type of control is suitable for programming testing tasks. Aplib is implemented in such a way to provide the fluency of a Domain Specific Language (DSL). Its embedded DSL approach also means that aplib programmers will get al.l the advantages that Java programmers get: rich language features and a whole array of development tools.

AB - Modern interactive software, such as computer games, employ complex user interfaces. Although these user interfaces make the games attractive and powerful, unfortunately they also make them extremely difficult to test. Not only 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 automated testing techniques have trouble handling it. An agent-based testing approach offers an alternative solution: agents’ goal driven planning, adaptivity, and reasoning ability can provide an extra edge towards effective navigation in complex interaction space. This paper presents aplib, a Java library for programming intelligent test agents, featuring novel tactical programming as an abstract way to exert control over agents’ underlying reasoning-based behavior. This type of control is suitable for programming testing tasks. Aplib is implemented in such a way to provide the fluency of a Domain Specific Language (DSL). Its embedded DSL approach also means that aplib programmers will get al.l the advantages that Java programmers get: rich language features and a whole array of development tools.

KW - AI for automated testing

KW - Agents tactical programming

KW - Automated game testing

KW - Intelligent agent programming

KW - Intelligent agents for testing

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Prasetya ISWB, Dastani M, Prada R, Vos TEJ, Dignum F, Kifetew FM. Aplib: Tactical Agents for Testing Computer Games. In Cristina Baroglio, Jomi F. Hubner, Michael Winikoff, editors, Engineering Multi-Agent Systems: 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8–9, 2020, Revised Selected Papers. 1 ed. Vol. 12589. Springer. 2021. p. 21-41. (Lecture Notes in Computer Science, Vol. 12589). doi: 10.1007/978-3-030-66534-0_2

Aplib: Tactical Agents for Testing Computer Games

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Workshop

Keywords

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