Using an Agent-based Approach for Robust Automated Testing of Computer Games

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    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.

    Original languageEnglish
    Title of host publicationA-TEST 2021: Proceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and Evaluation
    PublisherAssociation for Computing Machinery
    Pages1-8
    Number of pages8
    ISBN (Print)978-1-4503-8623-4
    DOIs
    Publication statusPublished - 23 Aug 2021
    EventProceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and Evaluation (A-TEST ’21). - Athens , Greece
    Duration: 23 Aug 202124 Aug 2021
    https://dl-acm-org.proxy.library.uu.nl/doi/proceedings/10.1145/3472672

    Conference

    ConferenceProceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and Evaluation (A-TEST ’21).
    Country/TerritoryGreece
    CityAthens
    Period23/08/2124/08/21
    Internet address

    Keywords

    • robust automated testing
    • agent-based automated testing
    • automated testing of computer games

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