MAIN TRACK TALK

AI Meets API: Transforming Automated Testing Processes

A few months ago, Adha’s colleague reached out to her with an interesting challenge. He had been developing a robust API test automation framework but was facing a familiar bottleneck: the process of manually writing test cases from an OpenAPI specification was time-consuming, repetitive, and prone to human error. Despite the framework’s capabilities, generating comprehensive test coverage still required significant effort and domain knowledge. So everything started from there.

This talk explores an AI-driven approach to API testing: building structured test models from business goals and OpenAPI specs and turning them into executable code. Attendees will learn how to transition from manual test writing to optimising AI-generated tests for greater speed, reliability, and software quality.

What you’ll learn

Session details

Adha Hrusto

Adha Hrusto is an AI Engineer with a PhD in Computer Science, specialising in applying ML and GenAI to enhance software quality. Her experience spans research and industry, including the development of agentic AI chatbots and AI-driven test automation frameworks. Her doctoral research focused on anomaly detection in DevOps, as part of Sweden’s largest research initiative (WASP). Adha has turned cutting-edge research into impactful real-world solutions, working closely with clients and sharing her results through publications and presentations at international conferences.