PTC Blogs

AI test case generation uses AI to create test cases from requirements, improve traceability, broaden coverage, and speed up quality assurance.

Requirements engineering is the process of defining, analyzing, validating, and managing requirements throughout product development.

A requirements baseline establishes an approved set of requirements for development, testing, and change control throughout the product lifecycle.

Requirements traceability is the practice of linking requirements to design, development, testing, and validation activities throughout the product lifecycle.

Learn how AI requirements management helps teams improve quality, traceability, and collaboration while managing complexity in modern product development.

Learn the most common types of requirements in software and systems engineering. Explore functional, non-functional, business, user, stakeholder, and technical requirements—and see how PTC Codebeamer supports effective requirements management.

Learn what DFMEA is, how it differs from FMEA, and how DFMEA software improves product quality, reduces risk, and supports compliance.

Learn what Process Failure Mode and Effects Analysis (PFMEA) is, why it matters in manufacturing, and how to reduce risk with connected PFMEA software.

Discover Codebeamer AI—governed AI for requirements and testing that reduces manual work, improves traceability, and accelerates compliant, software‑driven engineering.