Balancing innovation and reliability in the age of intelligent testing - Atos

This article by a software testing expert traces the evolution of software testing from the 1950s to today's AI-driven landscape. The piece explores how testing transformed from basic bug detection to a sophisticated discipline integrating artificial intelligence and continuous automation. It examines both the opportunities and challenges that modern testing faces, particularly with generative AI technologies.

• Testing evolved from simple defect detection in the 1950s to a recognized profession with formal methodologies and quality assurance practices by the 1980s
• Agile and DevOps revolutionized testing into a continuous, collaborative process integrated throughout the development lifecycle rather than just at the end
• AI and GenAI now offer powerful capabilities for generating test cases and predicting bugs, but require human oversight to address security concerns, bias, and accuracy issues
• Modern testing of AI systems presents unique challenges including evolving outputs and hallucinations, requiring human-in-the-loop approaches and business expert collaboration