Rwan Al-Halwan
AI and Backend Engineer specializing in designing intelligent automation ecosystems that merge backend architecture with AI and large language models (LLMs). Experienced in building self-learning QA platforms capable of automated test generation, root-cause analysis, and dynamic reporting pipelines.
Session
03-04
10:00
30min
AI-Powered Bug Classification and Creation from Robot Framework Test Reports
Mohamed Sedky, Rwan Al-Halwan
Discover how AI and Large Language Models (LLMs) can revolutionize software quality assurance by transforming Robot Framework test reports into actionable bug insights. This talk introduces an automated pipeline that classifies, summarizes, and creates bug tickets directly from Robot Framework results — integrating seamlessly with tools like TFS and Jira. Attendees will learn how to bridge testing and defect management intelligently.
RoboCon Online