Using an Agent-based Approach for Robust Automated Testing of Computer Games
Publication date
2021-08-23
Authors
Shirzadehhajimahmood, Samira
Prasetya, I. S.W.B.
Dignum, F.P.M.
Dastani, Mehdi
Keller, Gabriele
Editors
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Supervisors
Document Type
Part of book
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taverne
Abstract
Modern computer games typically have a huge interaction spaces and non-deterministic environments. Automation in testing can provide a vital boost in development and it further improves the overall software's reliability and efficiency. Moreover, layout and game logic may regularly change during development or consecutive releases which makes it difficult to test because the usage of the system continuously changes. To deal with the latter, tests also need to be robust. Unfortunately, existing game testing approaches are not capable of maintaining test robustness. To address these challenges, this paper presents an agent-based approach for robust automated testing based on the reasoning type of AI.
Keywords
robust automated testing, agent-based automated testing, automated testing of computer games, Taverne
Citation
Shirzadehhajimahmood, S, Prasetya, I S W B, Dignum, F, Dastani, M & Keller, G 2021, Using an Agent-based Approach for Robust Automated Testing of Computer Games. in A-TEST 2021: Proceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and Evaluation. Association for Computing Machinery, pp. 1-8, Proceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and Evaluation (A-TEST ’21)., Athens , Greece, 23/08/21. https://doi.org/10.1145/3472672.3473952, conference