Ernest Marza Climent, Quibim (ES)
Enhancing Performance Test Results with ML and LLMs: Communication Beyond the Numbers
About the talk
Performance testing is critical in identifying system limitations, yet many valuable test results go unnoticed or misunderstood. The real challenge is not just running tests but ensuring that findings are communicated effectively to drive meaningful decisions. This talk focuses on solving this problem by transforming performance test reports into clear, actionable insights that resonate with both technical and business stakeholders.
Problem Statement & Required Outcomes:
Many teams struggle to get their performance testing efforts recognized because reports are often too technical, too complex, or lack context. Testers produce valuable data, but stakeholders outside the testing domain frequently ignore it due to information overload or misinterpretation. The goal is to bridge this gap by creating structured, compelling reports that highlight the right insights, enabling organizations to take preventive action before performance issues impact production.
Biography
Ernest works at Quibim as QA Tester in software quality and performance test, focusing on transforming complex results into clear, actionable insights. With experience in automation, machine learning, and large language models, he explores innovative ways to improve system performance and communication across teams.