Test Design and Specification Techniques: From Classical Methods to AI-Assisted Approaches

Designing effective tests is one of the most critical and intellectually demanding activities in software quality assurance. While automation, CI/CD, and AI have transformed testing workflows, the core of testing excellence still lies in the ability to design, specify, and select the right tests for each context.

This session explores both classical and modern test design and specification techniques — from equivalence partitioning, boundary value analysis, and decision tables to model-based and AI-assisted test generation. Through practical examples from embedded systems, automotive, and industrial domains, attendees will learn how to combine structured methods with creativity and data-driven insights. We will also discuss test documentation and traceability, how to ensure coverage and maintainability, and how to adapt these techniques to modern agile and DevOps environments.

By the end of this session, participants will have a clear roadmap for selecting and applying the most suitable design techniques, improving test efficiency, and building a culture of intelligent, value-driven testing.