A Mapping of Recording-based Game Test Automation Tools

As the gaming industry grows, there is a greater need for high-quality, complex games, which requires efficient and scalable testing methods. This paper maps recording-based game test automation tools that record and replay user actions to make testing easier and reduce manual work. We analyzed 20 tools mentioned in industry blogs and grouped them into game-specific and general-purpose categories. We also evaluated their compatibility, input simulation features, scripting options, and integration with game engines.Our findings indicate that general-purpose tools, the most frequently mentioned in blog sources, offer broad adaptability across platforms but are typically limited to user interface and visual testing. In contrast, game-specific tools provide deeper integration with game engines, supporting access to in-game mechanics and making them better suited for testing gameplay aspects. Our observations intend to conduct industry and academic efforts toward more reliable, scalable, and cost-effective approaches to automated game testing.

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Publication Details

Published
2025-04-29
DOI
https://doi.org/10.1109/gas66647.2025.00006
Primary Topic
Artificial Intelligence in Games
Type
article
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article

A Mapping of Recording-based Game Test Automation Tools

Fábio Petrillo, Vinícius Mioto
Artificial Intelligence in Games
article

A Mapping of Recording-based Game Test Automation Tools

Fábio Petrillo, Vinícius Mioto
article en

Abstract

As the gaming industry grows, there is a greater need for high-quality, complex games, which requires efficient and scalable testing methods. This paper maps recording-based game test automation tools that record and replay user actions to make testing easier and reduce manual work. We analyzed 20 tools mentioned in industry blogs and grouped them into game-specific and general-purpose categories. We also evaluated their compatibility, input simulation features, scripting options, and integration with game engines.Our findings indicate that general-purpose tools, the most frequently mentioned in blog sources, offer broad adaptability across platforms but are typically limited to user interface and visual testing. In contrast, game-specific tools provide deeper integration with game engines, supporting access to in-game mechanics and making them better suited for testing gameplay aspects. Our observations intend to conduct industry and academic efforts toward more reliable, scalable, and cost-effective approaches to automated game testing.

Universidade Federal do Pará (BR)
Openalex Percentile: Top 94%
Artificial Intelligence in Games
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