Codeless test automation is transforming how organizations approach software testing. By minimizing or eliminating the need to write code, codeless testing tools allow for faster test creation and maintenance.
As codeless testing gains popularity, what are the key things every tester should know?
- Focus on building maintainable tests
A core benefit of codeless automation is that it simplifies test creation and maintenance. But even without code, tests need to be designed for long-term maintainability.
Structure tests modularly, minimize duplicates, and use descriptive naming conventions. Apply other best practices, like creating abstraction layers and separating test data from scripts. Building maintainable tests ensures codeless automation provides ongoing value.
- Integrations expand possibilities
Most test automation tools don’t work in isolation. Codeless solutions that integrate with other systems create opportunities to maximize impact. Look for tools with integrations that help manage tests, execute automation, perform reporting, connect with repositories, and more.
Integrations with CI/CD pipelines, test management platforms, and data sources are especially valuable for scaling automation.
- Leverage AI-based capabilities
Many modern codeless testing tools incorporate AI to assist with test creation, maintenance, healing, and analysis. For example, AI can suggest improvements to test scripts, automatically detect locators and assertions, and smartly rerun failed tests.
Look for codeless solutions that bake in AI to amplify efficiency and augment human testers’ skills. But also recognize the limits of relying solely on AI.
- Focus on core testing needs first
When evaluating codeless testing tools, it’s tempting to get distracted by peripheral capabilities. But the core purpose is reliable test automation, not performing every testing task.
Look for solutions focused on foundational testing needs—creating maintainable automation, integrating with pipelines, producing analytics, etc. Powerful core capabilities will provide the most long-term value.
- Training is still essential
While codeless testing is easier to learn than coding, it still requires training. When adopting codeless automation, don’t underestimate the level of training needed. Look for tools with thorough documentation, tutorials, videos, and community support.
Budget time for training testers to use tools effectively. User-friendly interfaces minimize but don’t eliminate the need for training.
- Scripting languages open up flexibility
Many codeless tools also support coding with scripting languages like Python and JavaScript. This allows for combining codeless simplicity with nearly limitless customization when needed.
Look for solutions that allow hybrid approaches instead of being codeless-only. Blending uncoded tests with scripting provides flexibility to handle complex test scenarios.
- Avoid being locked in
Some codeless testing solutions use proprietary techniques that risk vendor lock-in. This limits reevaluating tools as they change. Look for open codeless testing tools that allow exporting tests into Selenium or TDK formats.
Openness and interoperability provide long-term flexibility. Avoid codeless automation that locks your tests into a single proprietary platform.
- Analyse available analytics.
When evaluating codeless solutions, look closely at the analytics and reporting capabilities offered. The ability to generate detailed yet easy-to-understand testing metrics is invaluable.
Prioritize tools that provide actionable insights into test stability, effectiveness, scope coverage, and more. Robust analytics aid the continuous improvement of test automation.
Conclusion
The codeless test automation solutions are game-changers for software testing. Focusing on maintainability, integrations, AI, core purpose, training, flexibility, openness, and analytics will ensure you select tools delivering maximum value. With the right codeless approach, test automation can scale to the next level.
