The intersection of AI, open source, and test automation is defined by the use of community-driven AI tools to automate, optimize, and scale software testing. Read how open source platforms make advanced AI capabilities accessible, while AI transforms traditional test automation into a smarter, more adaptive process, enabling faster, higher-quality software delivery.
Every year for the last four, Keysight has collaborated with faculty at the University of California Santa Cruz (UCSC) Baskin Engineering School to sponsor senior projects in test automation. This year (Spring 2024), one of those projects focused on leveraging LLMs (Large Language Models) to streamline the creation of OpenTAP plugins in Python.
Test automation, like the technology and products it targets, is in a state of constant change.
MarketsAndMarkets reports that the global test automation market size is expected to grow from USD 24.7 billion in 2022 to USD 52.7 billion by 2027, at a CAGR of 16.4%. To accompany the pace of the ever-changing testing landscape, you should be familiar with the latest test automation trends.
