Self-Healing Test Automation Framework - Healenium
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The document discusses Healenium, a self-healing test automation framework that uses machine learning to automatically update broken locators during runtime, ensuring consistent test execution in dynamic environments. It emphasizes the importance of self-healing in reducing test failures, decreasing flakiness, and improving test accuracy, while providing an overview of its features, integration methods, and challenges. Future trends in self-healing automation are also highlighted, indicating a shift towards more proactive and sophisticated algorithms.
Self-Healing Test Automation Framework - Healenium
- 1. Self-Healing Test Automation Framework - Healenium Rahul Garg Automation Consultant Test Automation Competency
- 2. Lack of etiquette and manners is a huge turn off. KnolX Etiquettes Punctuality Join the session 5 minutes prior to the session start time. We start on time and conclude on time! Feedback Make sure to submit a constructive feedback for all sessions as it is very helpful for the presenter. Silent Mode Keep your mobile devices in silent mode, feel free to move out of session in case you need to attend an urgent call. Avoid Disturbance Avoid unwanted chit chat during the session.
- 3. 1. Introduction § Overview § Importance of Self Healing 2. Understanding Healenium § About Healenium § How Healenium works ? 3. Healenium Integration § Ways to Integrate Healenium § Healenium Web Vs Proxy § Steps to Integrate 4. Healenium reports 5. Personalised Healenium Experience 6. Challenges And Drawbacks 7. Future Trends 8. Demo 9. Q&A
- 5. Overview of Self Healing • Self-healing refers to the ability of a test framework to automatically detect, diagnose, and fix issues that cause test failures, without human intervention. • This is particularly useful in dynamic environments where changes to the application under test (AUT) can cause test scripts to break frequently. • Self-healing mechanisms in automation frameworks prevent test failure and UI mismatches smartly and automatically updating the locators in test scripts.
- 6. Importance of Self Healing Reduced No. Of Test Failures Self-healing reduces test failures by automatically updating element locators and adapting to changes in the application, ensuring that tests continue to run smoothly despite dynamic UI changes. Decrease Test Case Flakiness Self-healing decreases test case flakiness by dynamically adjusting to changes in the application's UI, ensuring consistent element identification and reducing intermittent test failures caused by minor updates. Saves Time And Efforts Self-healing saves time and effort by automatically fixing broken tests, reducing the need for manual intervention, and minimizing the maintenance required to keep test scripts up-to-date. Improved Test Accuracy Self-healing helps in getting accurate result as test failure will be shown only when there are actual bugs not when the locators get updated.
- 7. Healenium Healenium is a self-healing test automation framework that uses ML algorithms to enhance test scripts by automatically updating broken locators during runtime, ensuring resilient and accurate test execution in dynamic application environments. Features of Healenium are: Historical Data Analysis: Utilizes previous locator data to predict new locators. Reporting: Logs changes and provides detailed reports on healing actions. Seamless Integration: Integrates with existing test framework with minimal changes.
- 9. How Actually Healenium Works ?
- 10. Ways To Integrate Healenium
- 11. What Should We Use Healenium Web or Proxy? 8 – docker Images are required to be pulled to run test using Healenium Proxy. Allows Test Execution Only in Headless modes Does not adhere to the best practices as we have to clone an external Github repository to integrate Healenium Proxy in our project . Supported Languages - Java, Python, C#, JS. Healenium Proxy 3 – docker Images are required to be pulled to run tests using Healenium Proxy. Healenium Web allows test execution both in headed and headless mode. No such violation of best practices Is there. Supported Languages - Only Java Healnium Web
- 12. Steps To Integrate Healenium-Web In Our Project Add "com.epam.healenium" and "com.google.inject" maven dependency in pom.xml Rahul Wrap WebDriver with the Self- Healing Driver. Cd to infra folder and run "docker compose up -d" to create container of all healenium images. cd to infra folder and run "docker compose up -d" cmd cd to the project root folder and run the "mvn clean test" Navigate To "localhost:7878" to view healing report
- 15. Personalise Your Healenium Experience
- 17. Challenges and Drawbacks • Reliability: It's an ML model, so results are not always accurate. • Performance Overhead: Real-time analysis and healing leads to slow down test execution and an increase in execution time. • Response Time Dependency: Works effectively only on sites with minimal loading or quick response time. • Test Result Flakiness: Test results may vary from time to time. • Resource Utilization: High resource usage due to Docker implementation.
- 18. Future Trends Proactive Healing: Self-healing tools will become more proactive, predicting potential issues before they occur and suggesting or implementing preventive measures Enhanced AI and Machine Learning: AI algorithms will become more sophisticated, enabling better prediction and adaptation to changes in the application, leading to more accurate and reliable self-healing. Broader Scope of Healing: Self-healing mechanisms will expand beyond locator issues to address a wider range of test failures, including dynamic data, application logic changes, and performance bottlenecks. Community and Open Source Contributions: Increased contributions from the open-source community will drive innovation and collaboration, leading to more robust and feature-rich self-healing tools.