When Is The Right Time To Implement Codeless Test Automation?
No-code and low-code development platforms have transformed the way companies think regarding app development. The same thing is assumed for the software quality assurance process. This is the point where codeless test automation solutions share the burden of coding for the companies. These companies cannot allot additional programming resources or keep up with broad maintenance and writing of automated tests.
Codeless test automation proves to be very good for organizations that have limited resources and want their product to reach quickly to the customers. According to a recent survey, more than 2000 digital experts said that almost 54% of the companies have strategic plans to implement codeless test automation tools in the coming period.
Despite its popularity in the market, it is fit for all sorts of use cases or apps. It cannot be used instead of scripted automation. Instead of this, it should be used along with manual functioning testing and automated testing.
A good example of this is with vigorous content in apps, which have subjective or unforeseeable outcomes. Let’s take into consideration a streaming media platform. Perhaps, automated solution authenticates that the “play” button activates the code to start a movie. However, it cannot authenticate that the movie plays without video or audio glitches.
In difficult scenarios that are not fit either traditional automated techniques or codeless automated techniques, manual testing is a good alternative.
When to Implement Codeless Test Automation?
The importance of test automation cannot be overlooked for automation testing, even after codeless tools become increasingly prominent. This is because; automation allows brands to move quickly and meet the rapidly moving target of developing and testing software that is both of excellent quality and able to quickly deliver to end-users. Some of the drawbacks of traditional test automation are that developing and growing the process can be resource-intensive, cost-intensive, and time-intensive.
Traditional automation needs experts for the coding process. They write test cases and maintain them with time. The difficulty and the requirement for various tools like locator strategies, element locators, Android emulators, Apple simulators, selenium and Appium and so many more- all add to the intricacy of traditional automation and the requirement for particular knowledge. In addition to this, software development engineers in the testing procedure are continuously being taken from quality assurance teams and transferred to the development role. Such projects often get stuck in the mid-way and they never get completed. This results in a wastage of money and time for the organizations.
On the contrary, the predominant value of codeless test automation is that it can be done by everyone. A user can easily transfer from the codeless tool and a test case. This leads them to record that experience into an automated test. In addition to this, codeless test automation tools initially address web apps only. More tools provide the ability to run sessions and develop automated tests on smartphones, on iOS and Android, and web apps.
Companies should not think regarding traditional automation and codeless tools in any of the situations. The automation testing companies use codeless test automation tools for less-involved situations such as smoke tests and proportions of a regression testing suite. Incorporating codeless test automation tools in this manner permits SDETs and devoted automation resources to concentrate on extremely difficult and higher-priority automation. Preferable, manual testing should be incorporated with both codeless test automation and traditional automation to increase the quality, scale, and speed at which software is delivered to the customers.
After viewing the discussion above, it can be said that all companies should create a balance between codeless test automation and test automation. They must take into account automation when the factors mentioned below are in play:
- Repetitive task
- Long testing activity
- Repetitive tests
- A constant testing environment with little alteration expected
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