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Wednesday May 27, 2026 14:45 - 15:15 CEST
Limited Capacity full
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Increasing automated test coverage is often less about tools and more about creating the right foundations.

In this talk, we will share how our mobile team dramatically increased unit test coverage in a Flutter codebase — **from 8% to 80% in four months** — by combining AI-assisted development and systematic improvements in application testability.

We leveraged shared prompts with GitHub Copilot to help developers generate unit tests across multiple use cases. In parallel, we introduced semantics and tags throughout our UI architecture, from our design system (ADS) to shared component libraries (ACC, ADC) and the application itself.

This instrumentation allowed QA engineers to **gain autonomy** and start preparing UI automation independently, without constantly relying on developers.

We will share the practical lessons from this journey: what worked, what didn’t, and how these foundations enabled us to launch our UI automation strategy. We will also share what are our future plans to give more tools to contributors with a less technical background.
Speakers
avatar for Marion Livoy

Marion Livoy

Quality Engineer, Ext - ADEO Services

avatar for Alexandre Mardon

Alexandre Mardon

Lead Engineer, ADEO Services
Alexandre MARDON
Lead Engineer for the Customer Mobile Application at Adeo
Wednesday May 27, 2026 14:45 - 15:15 CEST
👾 DEV/TECH ARENA 135 Rue Sadi Carnot, Ronchin, France

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