Self-healing test automation automatically detects and fixes test scripts when the software application changes, reducing manual effort and improving test reliability.
It adapts to code-level changes, ensuring test scripts remain accurate without requiring manual updates.
Benefits of self-healing test automation include preventing object locator flakiness, improving test coverage, lowering test maintenance efforts, minimizing test failures, and providing a faster feedback loop.
Self-healing test automation integrates AI technologies to make testing smarter and more efficient.
An example of self-healing test automation is adjusting test scripts to identify updated elements like class names in a web application.
The process involves steps like identifying elements, performing test execution, identifying issues, and implementing self-healing updates in the test scripts.
KaneAI by LambdaTest is an AI testing tool that offers self-healing features to identify and update broken locators automatically.
KaneAI facilitates intelligent test generation, multi-language code export, 2-way test editing, smart versioning, and bug reproduction.
Self-healing test automation simplifies test maintenance, saves time, boosts test coverage, and enhances software quality.
Integrating self-healing test automation with AI technologies improves testing efficiency and ensures smoother software development processes.