Best Practices for Scaling Selenium Testing

Test automation engineers have adopted Selenium as the de facto choice for UI test automation. Although it’s a powerful and proven technology, testers often find that creating tests is much easier than keeping them up to date as their application changes.

Test suites are also increasing in size as applications grow in complexity, adding to the challenge of maintaining the tests. Frequently the amount of time it takes to execute a large test suite is simply too long to meet the demands of a fast-paced CI/CD pipeline, introducing bottlenecks or bypassing critical quality tests.

Join Parasoft for a discussion on the top Selenium testing challenges being faced today. Additionally, learn about the innovative technologies, including AI, that can be integrated into your existing Selenium practice to increase efficiency, reduce testing bottlenecks, and alleviate those challenges.  

You will discover:

  • How leading innovators are overcoming the challenges of scaling Selenium.
  • How to spend less time maintaining, repairing, and fixing broken tests with AI and self-healing.
  • How to rapidly build a maintainable testing practice by creating Selenium test suites with the Page Object Model.
  • How to optimize test execution to get quicker feedback from your CI/CD pipeline.

About Parasoft

Parasoft’s software testing solutions support the entire software development process, from when the developer writes the first line of code all the way through unit and functional testing, to performance and security testing, leveraging simulated test environments along the way. Parasoft's unique analytics platform aggregates data from across all testing practices, providing insights up and down the testing pyramid to enable organizations to succeed in today's most strategic development initiatives, including Agile/DevOps, Continuous Testing, and the complexities of IoT. Parasoft’s automated software testing innovations fuel software development organizations, helping teams reduce the time, cost, and effort of delivering high-quality software to the market.