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2 April, 2025

A Testing Revolution? How to Turn Videos into Manual and Automated Test Cases

Video to Software Tests

Imagine being able to record a user story and instantly turn it into manual and automated tests—how much time and effort would you save?

Whether you’re preparing for SIT, UAT or streamlining regression testing, OpenText Functional Testing enables you to generate manual and codeless automated test cases directly from video recordings, leveraging cutting-edge AI technology to streamline your testing processes.

The Problems with Traditional Test Creation

I’m a test professional with over three decades of experience in software development. Testing processes have come a long way in this time; however, there is always room for improvement, and I’m sure I’m not the only one who has experience with the following three software testing problems:

1. Time-Consuming Test Build
Manual and automated test scripting can both be labour-intensive processes that require deep solution knowledge and technical expertise.

2. Maintenance Overhead
As applications evolve, manual tests can become obsolete and automated tests often break due to changes in the user interface (UI) or workflows. Maintaining these tests can consume valuable time and resources, slowing down development cycles and reducing productivity.

3. Pressure for Speed in Development
Businesses must deliver software faster than ever before. However, traditional test creation methods can struggle to keep pace with rapid development methodologies, such as Agile and DevOps, leaving teams vulnerable to quality issues or delayed releases.

How OpenText’s Video-to-Test Solves These Problems

OpenText’s tools address these challenges by leveraging AI to transform video recordings into manual, then codeless, automated test cases.

Imagine a retail company preparing for a major e-commerce launch. Business users record videos of workflows, such as adding items to a cart and completing checkout. These recordings are then transformed into manual scripts and automated tests, ensuring fast and efficient SIT and UAT, as well as seamless regression testing post-launch.

Here’s how it works:

1. Create Videos of The Features/Processes You Want to Test

Record videos demonstrating workflows, such as navigating an application or completing specific tasks. Anyone can participate in this step, including testers, business users, analysts, trainers, and other stakeholders.

This step is particularly valuable for UAT, as business users, analysts, or end-users can easily record workflows that reflect real-world scenarios, ensuring that tests align closely with actual business requirements.

2. Simplified Manual Test Creation

OpenText DevOps Aviator then uses AI-powered computer vision to analyse these recordings, mimicking human observation—but with greater speed and accuracy—to identify UI elements, interactions, and validation points with precision. It automatically generates manual tests based on these observations.

Again, this is ideal for UAT, where manual tests often need to be created quickly by non-technical stakeholders who understand the business context but lack coding expertise.”

3. Codeless Automated Test Creation

Once manual tests are verified for accuracy, they can be converted into codeless automated tests at the click of a button—eliminating the need for coding expertise.

4. Automated Test Maintenance

Self-healing capabilities ensure that test scripts adapt automatically when changes occur.

AI will detect changes in UI elements and adjust scripts automatically, minimising maintenance overhead and maximising reliability over time.

5. Faster Feedback Cycles

Automating test generation from videos allows your team to execute tests earlier in development cycles, catching bugs before they escalate into costly production issues—a key advantage in shift-left testing practices.

Why You Need Video-Based Test Creation

OpenText Functional Testing’s ability to generate automated tests from video recordings represents a paradigm shift in software testing and addresses some of the most pressing challenges in software development today:

  • Speed: By automating test creation, teams can release features more quickly while maintaining high-quality software.
  • Cost Efficiency: Reducing reliance on specialist resources lowers the costs associated with test creation and maintenance.
  • Agility: Teams can adapt quickly to changing requirements without being hindered by outdated or broken test scripts.
  • Collaboration: Empowering non-technical stakeholders fosters a more inclusive testing process, especially during UAT, where business users play a key role in validating requirements.
  • Reusability: Tests created during SIT or UAT can be repurposed as automated scripts for future regression cycles, reducing duplication of effort.
  • Ensuring Alignment: Basing tests on recorded user stories or business processes ensures that tests follow the defined processes.

If your organisation is seeking to stay competitive, this technology provides a powerful means to streamline testing processes while delivering high-quality software on schedule.

By embracing video-based test creation, your team can focus on innovation rather than being bogged down by the labour-intensive and time-consuming activities typically associated with software testing.

Are you ready to simplify UAT while streamlining your entire testing process? Get in touch to learn how OpenText Functional Testing can help your team save time and deliver high-quality software faster.

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Stephen Davis
by Stephen Davis

Stephen Davis is the founder of Calleo Software, a OpenText (formerly Micro Focus) Gold Partner. His passion is to help test professionals improve the efficiency and effectiveness of software testing.

To view Stephen's LinkedIn profile and connect 

Stephen Davis LinkedIn profile

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