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    Test Reuse based on adaptive semantic matching across Android mobile applications

    Liu, S. and Zhou, Y. and Han, Tingting and Chen, Taolue (2023) Test Reuse based on adaptive semantic matching across Android mobile applications. In: 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, 05-09 Dec 2022, Guangzhou, China.

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    Abstract

    Automatic test generation can help verify and develop the behavior of mobile applications. Test reuse based on semantic similarities between applications of the same category has been utilized to reduce the manual effort of Graphical User Interface (GUI) testing. However, most of the existing studies fail to solve the semantic problem of event matching, which leads to the failure of test reuse. To overcome this challenge, we propose TRASM (Test Reuse based on Adaptive Semantic Matching), a test reuse approach based on adaptive strategies to find a better event matching across android mobile applications. TRASM first performs GUI events deduplication on the initial test set obtained from test generation, and then employs an adaptive strategy to find better event matching, which enables reusing the existing test. Preliminary experiments with comparison to baseline methods on 15 applications demonstrate that TRASM can improve the precision of GUI event matching while reducing the failure of test reuse and the running time required for test reuse.

    Metadata

    Item Type: Conference or Workshop Item (Paper)
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Tingting Han
    Date Deposited: 28 Apr 2025 14:11
    Last Modified: 14 Jul 2025 12:16
    URI: https://eprints.bbk.ac.uk/id/eprint/53239

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