An agent-based approach to automated game testing: An experience report
Prasetya, I. S.W.B.; Pastor Ricós, Fernando; Kifetew, Fitsum Meshesha; Prandi, Davide; Shirzadehhajimahmood, Samira; Vos, Tanja E.J.; Paska, Premysl; Hovorka, Karel; Ferdous, Raihana; Susi, Angelo; Davidson, Joseph; Kiss, Akos; Marin, Beatriz; Saadatmand, Mehrdad
(2022)
A-TEST 2022 - Proceedings of the 13th International Workshop on Automating Test Case Design, Selection and Evaluation, co-located with ESEC/FSE 2022, pp. 1 - 8
A-TEST 2022 - Proceedings of the 13th International Workshop on Automating Test Case Design, Selection and Evaluation, co-located with ESEC/FSE 2022, pp. 1 - 8
13th International Workshop on Automating Test Case Design, Selection and Evaluation, A-TEST 2022, co-located with ESEC/FSE 2022, pp. 1 - 8
(Part of book)
Abstract
Computer games are very challenging to handle for traditional automated testing algorithms. In this paper we will look at intelligent agents as a solution. Agents are suitable for testing games, since they are reactive and able to reason about their environment to decide the action they want to take. This
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paper presents the experience of using an agent-based automated testing framework called iv4xr to test computer games. Three games will be discussed, including a sophisticated 3D game called Space Engineers. We will show how the framework can be used in different ways, either directly to drive a test agent, or as an intelligent functionality that can be driven by a traditional automated testing algorithm such as a random algorithm or a model based testing algorithm.
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Keywords: 3D game testing, agent-based testing, automated game testing, model-based game testing, Software
ISBN: 9781450394529
Publisher: Association for Computing Machinery
Note: Funding Information: This work is supported by the EU ICT-2018-3 H2020 Programme grant nr. 856716. Publisher Copyright: © 2022 ACM.
(Peer reviewed)
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