Unlock the Power of Smart Testing 2.0

Discover how Markov Chain Usage Models and AI-driven practices are revolutionizing software testing. Explore our comprehensive book and the powerful TestPlayer workbench.

The Book: Smart Testing 2.0

From Markov Chain Usage Models to AI-Driven Practice

The field of software testing is constantly evolving, with new methods and tools being developed to keep pace with the increasing complexity of modern software systems. Among these developments, Model-Based Testing (MBT) has emerged as an important approach that promises to increase the efficiency, coverage, and performance of the testing process. Markov Chain Usage Models (MCUMs) are a methodology with significant potential for improving the practice of MBT and are the main subject of this book.

Smart Testing 2.0 is intended to be a comprehensive reference on MCUMs in software testing. It is designed not only as a resource for academic questions, but also as a practical handbook for software testers, developers, and quality assurance professionals who want to integrate MBT into their own workflows.

The TestPlayer Workbench

An integrated platform to simplify the complexity of software testing.

The TestPlayer framework provides a complete environment for designing, executing, and analyzing tests.

The intuitive user interface simplifies the complex processes involved in managing test cases and tracking their results. Testers can focus on the key findings from the test without focusing too much on the details of the approach. The framework supports the entire cycle of MBT and provides features that help both novice and experienced testers optimize their workflows.

Why Smart Testing?

Model-Based Testing

Learn the advantages and challenges of model-based testing and how MCUMs enhance its effectiveness.

AI in Testing