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An Improving Approach for DOM-Based Web Test Suite Repair

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Web Engineering (ICWE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12706))

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Abstract

Developers increasingly rely on end-to-end (E2E) testing to test the web applications they develop and check whether there are no bugs from the end user’s perspective. An E2E test simulates the actions performed by the user using a browser and checks whether the web application returns the expected output. It considers web applications as a black box and only knows what user actions are and what their expected output is. However, once some evolutions are implemented on a web application, user actions may change (a button has been added, deleted, or just moved to another location), which may break the E2E test. Rebuilding new test suites takes a lot of time, especially for large web applications. Therefore, E2E testing needs to evolve with the development of web applications. To help the developers who face this situation, we present an approach, named WebTestSuiteRepair (WTSR), that aims to generate and compare test suite graphs to identify candidates for broken actions, hence helps to automatically and efficiently repair the E2E tests for web applications.

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Notes

  1. 1.

    https://github.com/joomla/joomla-cms.

  2. 2.

    https://github.com/moodle/moodle.

  3. 3.

    https://pptr.dev/.

  4. 4.

    https://selenium.dev/.

  5. 5.

    https://nightwatchjs.org/.

  6. 6.

    https://www.joomla.org/.

  7. 7.

    https://github.com/webautotester/scenario.

  8. 8.

    https://github.com/puppeteer/puppeteer.

  9. 9.

    https://github.com/webautotester/scenario.

  10. 10.

    https://sourceforge.net/software/product/Joomla/.

  11. 11.

    https://sourceforge.net/projects/moodle/.

  12. 12.

    https://sourceforge.net/projects/dolibarr/.

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Chen, W., Cao, H., Blanc, X. (2021). An Improving Approach for DOM-Based Web Test Suite Repair. In: Brambilla, M., Chbeir, R., Frasincar, F., Manolescu, I. (eds) Web Engineering. ICWE 2021. Lecture Notes in Computer Science(), vol 12706. Springer, Cham. https://doi.org/10.1007/978-3-030-74296-6_29

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  • DOI: https://doi.org/10.1007/978-3-030-74296-6_29

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