Algorithm-Powered Risk Assessment for Test Cases – New Feature in Q12-TMT

Last Updated on 2. June 2025 by mgm-marketing

Risk assessments play a key role in software testing. They help teams focus on the most critical areas – whether running manual tests or maintaining automated ones. In many projects, these assessments are done at the beginning, for example when a new product or feature is introduced. But later, once the system is live, teams often skip this step – usually due to time constraints.

A new approach from the Q12-TMT environment simplifies the process and makes it sustainable. The idea: an algorithm-driven method that automatically scores test cases based on their defect risk and impact.

Q12-TMT’s automated risk assessment is based on two main criteria:

  • Probability – based on structural complexity. Test cases with many steps, nested logic or complex prerequisites have a higher probability of failure.
  • Impact – Determined using a keyword-based approach. If a test contains terms such as ‘login’, ‘payment’ or ‘delete’, this increases its impact rating. The priority assigned to the test is also taken into account.

The benefit: Teams can access and update risk insights at any time – no extra coordination required. They are automatically alerted to potential problem areas and can adjust their testing strategies accordingly.

There’s still room for manual input. Teams can revise scores or add expert knowledge as needed. The automated assessment provides a solid starting point for deeper team discussions.

The risk assessment feature is now live in the Q12-TMT test management tool.

Start for free or connect with Oliver Storch on LinkedIn to dive deeper into the topic!

Oliver Storch
Oliver Storch is Project Lead and Product Manager at mgm technology partners with nearly two decades of experience in software development industry. He has led projects across sectors like automotive, aviation, media, energy, public administration, and e-commerce. His focus: project management, agile methods, and product development with deep domain expertise in software processes and quality assurance.