AI adoption in software development is increasing pressure on testing teams as they work to keep pace with frequent code changes, manual testing demands, and the maintenance of existing automation.
In partnership with @UiPath, @TechstrongGroup surveyed 137 software testing ion-makers to examine how organizations are managing testing workloads and preparing for AI-powered and autonomous testing.
The findings show that 43% spend more effort maintaining existing automated tests than creating new coverage. While 62% consider autonomous testing important to their future delivery strategy, only 42% are actively evaluating or adopting AI-powered testing solutions.
Download the full PulseMeter report to explore the research findings and insights into improving testing efficiency, automation reliability, and software delivery.
👉 bit.ly/4dPSOSX
#SoftwareTesting #TestAutomation #DevOps #EnterpriseAI
In partnership with @UiPath, @TechstrongGroup surveyed 137 software testing ion-makers to examine how organizations are managing testing workloads and preparing for AI-powered and autonomous testing.
The findings show that 43% spend more effort maintaining existing automated tests than creating new coverage. While 62% consider autonomous testing important to their future delivery strategy, only 42% are actively evaluating or adopting AI-powered testing solutions.
Download the full PulseMeter report to explore the research findings and insights into improving testing efficiency, automation reliability, and software delivery.
👉 bit.ly/4dPSOSX
#SoftwareTesting #TestAutomation #DevOps #EnterpriseAI
Oct 22, 2026 · 5:48 PM UTC
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