Certain benefits of codeless testing are as follows:
Low Learning Curve
Create tests with less/no code knowledge, reducing learning time.
Easy to Review
Code-free tests are understandable by anyone, simplifying review.
Efficient
Fast test creation due to no complex syntax, boosting automation efficiency.
Saves resources
No coding skills are needed, saving time, cost, and resources for hiring programmers.
Why Is Codeless Test Automation Needed?
Both manual and automation are time-consuming and demanding. Check out how codeless automation testing addresses these challenges:
Bridging the gap
Codeless automation allows manual testers to automate their test cases, bridging the divide between manual and automation testers.
Simplified automation
Codeless testing eliminates the need for extensive coding and debugging, making automation easier and quicker.
Enhanced reviewability
Codeless testing empowers non-technical reviewers to ensure test cases reflect real-world scenarios.
How can codeless testing be done in Testsigma?
Testsigma provides numerous features for achieving codeless testing.
Natural Language Processing (NLP)
This is a key feature in Testsigma’s low-code approach. You can write test steps in plain English sentences. Testsigma’s NLP engine converts these sentences into code instructions the application understands.
Recording and Playback
Use the recorder to capture your actions on the application under test. Testsigma translates these actions into automated test steps, minimizing manual scripting. You can then edit and enhance the recorded steps for better control.
Here’s an example of a low-code test creation process in Testsigma:
Record a login scenario
Use the recorder to capture the steps you need to log into the application.
Review and Edit
Testsigma generates test steps based on your recording. You can review and edit these steps for clarity and add assertions to verify expected behavior.
Add Data-Driven Elements
Utilize the data pool to define different usernames and passwords to test various login scenarios.
Incorporate Reusable Steps
If you have everyday actions across multiple tests (like logging out), create a reusable function and reference it within your test cases.
Codeless Automation in the Cloud
- A few codeless testing tools, like Testsigma, allow automation to be done directly on the cloud. There are a few benefits to having this automation on the cloud.
- There is no need to maintain hardware on your premises
- Automation on the cloud offers scalability; the amount of hardware and machine performance needed can be upgraded or degraded according to the automation testing requirements.
- The test cases can be accessed from anywhere, anytime
- The test cases perform better as the creation and execution are done on cloud infrastructure that has robust and state-of-the-art hardware offering
- The cloud hosting service providers manage the security of this test cases and do not need to be worried about in addition to the test case creation.
- There is no need to set anything; just log in and start automating.
Codeless Testing Myths
Forget the code! New codeless testing tools bust myths from the record-and-playback days. Here are the key myths:
Codeless testing equals record and playback:
Contrary to popular belief, codeless testing encompasses methods beyond record and playback.
Codeless testing steps are difficult to edit or maintain:
While this may have been true for earlier record and playback solutions, modern tools support easy editing and maintenance of test cases.
Codeless testing isn’t truly codeless:
Code-free testing is the future! Even though tools might translate actions to code, AI and ML pave the way for truly codeless automation.
Conclusion
In conclusion, embracing codeless testing offers a streamlined approach to software quality assurance, minimizing dependencies on coding expertise. By harnessing intuitive platforms and automation tools, teams can expedite testing processes while maintaining robustness. Finally, codeless testing empowers teams to focus on innovation and user experience, driving efficiency and reliability in software development cycles.