Download eBook / Sign up for Azure webapp

Why You Should Adopt Automation of UI Testing?

A leading cause of Mobile App abandonment is poor UX/UI Design, second only to slow load times. This fact alone requires app’s UI to be thoroughly tested.  However, significant aspects of UI testing is still performed manually, a time-consuming task. The pace application change and resulting rapid release cycle may not allow for exhaustive manual testing given pressure to release every decreasing release cycles. Here is a related article Can Automated Testing Save us From UX Design Flaws? I will discuss the challenges and benefits automation of UI testing in this blog.

 Benefits of Automated UI Testing

Automated testing involves using tools, scripts/code to execute tests without requiring humans to execute repetitive test cases. Both execution of test scripts and generation of test results are all performed automatically. Among the many benefits, here are some of them.

  1. Load testing can identify how app can handle the number of concurrent transactions it is expected to receive and to verify the behavior of the application under a normal load and a peak load.
  2. Regression testing is repeated testing of the app with every new build to determine if any defects are left uncovered or new ones introduced because of the changes in the software or due to some unrelated components. The frequency of these tests makes it best suitable for automated testing.
  3. Performance testing analyzes the speed, stability, and scalability of the system or application. It is concerned with achieving response times, throughput, and resource-utilization levels that meet the performance objectives for the project or product.

Challenges of Automated UI testing

At a first glance it might appear that manual testing is faster and easier since it has less upfront investment. Automated testing requires identifying tools, creating scripts by QA Engineers before you can begin to test. There are also other aspects of the app that make automation challenging.

  1. The constant changes to UI. A constantly changing UI breaks automation scripts and therefore requires constant maintenance.
  1. Complex web coding structures. Web pages in an app can have complex web structures which makes automation difficult. Web elements on a page can have embedded frames and overlays which makes automation scripts fragile.
  1. Choice of automation framework and tool. Teams spend a considerable time to figure out the right framework or tool to meet specific needs of their app. If a wrong choice is made, it becomes costly both in time and money.
  1. Maintaining UI Scripts: As the app evolves so is its functionality and the UI which requires the scripts to be modified accordingly. Sometimes, subtle changes in UI are discovered when the script fails costing more time wasted in testing.

We can mitigate some of these challenges by investing upfront in choosing the right framework, waiting for the UI to stabilize before starting automation and using nocode automation tools.

Why choose automation over manual testing?

However, there are several benefits to automation of UI testing.

  • To perform repetitive and time-consuming tasks
  • Enable parallel testing
  • Execute non-functional testing like load, performance, stress testing without requiring long time
  • Eliminate or reduce human errors resulting from fatigue!

In the case of mobile app testing or mobile App Automated testing, there are several unique challenges that must be considered.

  • Multitude of device configurations
  • Lack of consistency in the platform which causes apps to behave differently across devices.
  • Even when it comes to routine tasks like obtaining crash logs, there are differences in how they are collected and analyzed.

These differences manifest in how mobile app testing is performed. These issues become more prominent in android UI test automation due to the proliferation of Android devices with multiple manufactures and the variation of device types which necessitates testing on plethora of devices. This creates considerable motivation for android UI test automation.

Catching bugs early is another important facet of mobile app testing which ensures that tests are conducted as frequently as possible to negate the possibility of an unpleasant landmines in the software on the big day.

Through mobile app automated testing, you can reduce the number of people that are otherwise required, reducing the project cost.  This is particularly helpful at a time of shrinking testing budgets. It gives teams and employees the chance to focus on the newer, higher-order level tasks than executing monotonous and repeated actions.

Summary

Software testing is an integral part of rolling out any application and UI testing is as crucial as it is complex. There are many challenges involved that make the process complicated, therefore it is important to choose the right tools, keeping in mind the project scope, the environment, the budget etc. Automated testing is poised to erase many of the challenges that face UI testing today if it is built with the right scripts and keeping in mind the nature of the system.

Sofy is a modern nocode automation platform for mobile app testing and mobile app automated testing designed for QA Engineers and QA Managers to remove the complexity from manual, automated, robotic exploratory testing and Visual Quality testing to help release bug-free applications that work on every device. You can try it our free at sofy.ai.

Leave a reply

20 − eleven =

You might also like

4 min read

What do Smart Monkeys, Chess, and ML Powered App Crawlers have in common?

As a Microsoft SDET and an Engineering Manager, I had lots of ideas about better ways to create test automation.

4 min read

Is AI replacing Humans? Yes, Maybe and No

I recently came across a Brookings Institute research article on What jobs are affected by AI? Better-paid, better-educated workers face the most exposure…

4 min read

Reinventing App Testing Powered by AI: SOFY Live and SOFY Automate

According to conventional thinking, AI is about automating human tasks that require human intelligence.

1 2 3