Traditional testing can’t keep up with today’s complex transport systems. It’s time to accelerate.
When legacy systems demand constant updates, traditional regression testing quickly becomes a bottleneck. To maintain speed and quality, transport leaders need more than just testing- they need automation, intelligence, and scale.
That’s where AI-assisted testing comes in.
In this case study, discover how a UK-based transportation client used generative AI to revolutionize their testing process, slashing turnaround times and increasing test coverage up to 90%.
- Identify and bridge test coverage gaps in complex, multi-module systems
- Use tools like Codiumate, Codex, and GPT-3 to generate robust unit tests automatically
- Boost testing precision while cutting manual effort and delivery time in half
- Gain real-time visibility through GitLab pipelines and JaCoCo reporting
Explore how AI-driven testing is transforming legacy transport systems and how it can work for you.
