What Is Autonomous Testing? What The Term Means to Me

With the onset of AI-powered testing tools, autonomous testing is undergoing a paradigm shift. Integrating AI-powered autonomous testing processes into your workflow is no longer optional—it is essential to creating successful applications. Organizations must stay ahead of the curve and ensure their testing processes are both competitive and cutting-edge.

Yet testing applications properly can be a time-consuming process. Autonomous testing holds the promise of significantly reducing that workload.

In this blog, I will give a detailed overview of autonomous testing and offer tips for how to get started.

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What is Autonomous Testing?

Autonomous testing is the ability to create tests autonomously without user intervention.

Autonomous testing is often used in reference to testing without coding, also known as scriptless testing. 

Related Viewing: The Future of Testing: A Conversation About the Use of AI and ML 

Autonomous Testing & the Struggle for Quality

While there are pockets of organizations that do achieve high levels of automation, many organizations struggle with autonomous testing.

I have identified the following as the three major reasons organizations struggle to implement autonomous testing:

• Lack of a proper QA environment. Teams in this case cannot test on live data and it’s difficult to create a staging environment.
• They cannot produce proper test data and initialize the environment. After all, automated tests assume a certain state, perform certain actions, and expect certain results. 
• High maintenance overhead. This is an increasing problem as teams need to update tests with new functionalities to fully test the user experience end to end.

The Challenges of Deploying Autonomous Testing

There are many challenges associated with deploying autonomous testing. Below are a few things you should take into consideration.

Goals of Testing

If you give the same scenario to 10 SDETs, it is likely that each will test this scenario differently. If you create scenarios autonomously, which one will you choose, and will it fit what the QA team intended to test?

Negative Scenarios

Sometimes you want to test negative scenarios, such as a user not being able to perform certain actions before certain prerequisites are met.

Another common example is testing password validation (e.g. proper error messages for passwords that don’t comply with the policy). How can autonomous testing test such scenarios?

User Profiles and Permissions

Many apps customize their experience to different user profiles (basic vs. pro, standard vs. administrator). Teams run quite a few scenarios validating that certain profiles have permissions only to specific functionalities.

Assertions

While autonomous testing can maybe test the application’s functionality, it does not know the expected outcome and doesn’t know what to assert for.

A typical example is the checkout process in a shopping app. An SDET would properly assert that the total amount matches the prices and quantities of the items purchased. How would an autonomous testing tool know to test that?

User Experience

Functional testing is just part of quality assurance. User experience testing includes testing the responsiveness of the app under different network conditions, disruption testing (e.g., app goes in the background), personalization to location, language, and so on. 

A New Way of Autonomous Testing

The premise of autonomous testing is clear: immediate coverage with no effort. Yet this might not be the right objective.

Tests, by nature, look into edge cases and require an understanding of what to expect. Two QA engineers can take the same scenario and test it differently. Sometimes there are tests that we may not think of at all. 

Let’s redefine autonomous testing as a learning model of the application that can do these three things:

• Self-adapt.
• Help the QA engineer create tests by predicting what they want to test with minimal information.
• Make sure there’s some correlation between the model and the tests so that they can autonomously update each other. 

You can think of autonomous testing as being similar to a sitemap for mobile. Given two screens, the application can autonomously populate the right actions and detect navigational changes (changes to the edges) and functional changes (changes in the screen model) from the baseline.

The application will then update the baseline, which will trigger a self-maintenance process to edges and screens within your test cases.

Autonomous Testing With Perfecto Scriptless Mobile

With Perfecto Scriptless Mobile, autonomous testing has been made simpler than ever. Even for non-technical or business testers and teams new to automation, users can easily make the move from manual to automated testing without any setup required for the lab or framework. 

Automated testing lets users create and execute tests faster and more efficiently than manual testing. Speed is especially crucial for those needing to beat their competitors to market. Productivity will soar because once the script is written, it can be used numerous times across a variety of OSs and devices. AI capabilities auto-correct flaky tests on the fly so you don’t interrupt your testing momentum. 

Need to make changes to your test? No problem. Scriptless Mobile’s ML-powered engine identifies patterns across your tests and adapts the models accordingly, drastically reducing your maintenance efforts. 

Perfecto Scriptless Mobile is framework agnostic, supporting you and your favorite frameworks including Flutter, React Native, and native mobile applications.  

Furthermore, Perfecto Scriptless Mobile allows you to create tests for even the most complex native mobile uses cases, including:

• Biometric Authentication
• Image Injection
• Network Virtualization
• Two-Factor Authentication
• Quality Visibility
• Mobile UX Measurements
• Test Coverage
• Accessibility

Related Reading: Accessibility Testing for Mobile Apps

Bottom Line

Organizations that take quality seriously will have a list of scenarios they go over and test for before every release. Testing leaders want to know that those scenarios are being tested as opposed to some black box that essentially does exploratory testing.  

Autonomous testing is a great way to address these challenges and will help speed up testing while also maintaining quality. With Perfecto on your side, implementing autonomous testing is a seamless experience. 

Perfecto offers the most comprehensive AI-driven test automation platform available, enhancing quality, innovation, speed, and accuracy. Along with Perfecto Scriptless Mobile, Perfecto’s platform helps deliver competitive, high-quality applications with ease. Start your free 14-day trial today.

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