Autonomous Real-Time Testing: Testing Artificial Intelligence and Other Complex Systems

Testing software that never really stands still

Autonomous Real-Time Testing: Testing Artificial Intelligence and Other Complex Systems is a focused, technically minded book about a problem many modern teams already recognize: software changes continuously, but traditional testing still behaves as if release day were the finish line. Thomas Michael Fehlmann approaches that gap with a clear argument for autonomous, continuous testing while systems are in operation.

The book is especially relevant to software-intensive products where behavior matters in the real world — connected vehicles, IoT systems, AI-enabled applications, and other complex environments in which updates, learning, and integration can alter system behavior long after deployment. Rather than treating testing as a one-time gate, Fehlmann presents Autonomous Real-Time Testing as a framework for generating and executing suitable tests automatically during use.

What the book covers

• software testing metrics and the limits of code coverage alone
• continuous testing in DevOps and CI/CD contexts
• testing for IoT, privacy protection, and safety risks
• test-case generation with methods connected to AI and combinatory logic
• testing highly complex technical systems and digital twins
• how artificial intelligence itself can be tested
• agile testing ideas, including story-based approaches

A practical, systems-oriented perspective

The tone here is analytical rather than promotional. The book does not present testing as a vague best practice; it frames testing as a necessary discipline for liability-sensitive, software-driven products. That makes it a strong fit for readers who want a structured view of how testing can be extended beyond the development cycle and into ongoing operation.

Who will find it useful

This ebook will appeal to software engineers, QA professionals, DevOps teams, test managers, researchers, and readers working in automotive software, AI systems, or other safety-critical digital environments. It is also a good match for anyone trying to understand why traditional test thinking struggles with modern software products — and what a more autonomous approach might look like in practice.

If you are building, testing, or managing complex software systems, this is a sharp, specialized title with a strong point of view and a highly relevant subject matter.