Jama Software

A requirement changed six months ago. The test case still points to the old version. The risk assessment was updated, but nobody can tell whether the design team reviewed the change. Now an audit is approaching, and a systems engineer has to reconstruct w

For aerospace and defense programs, scale rarely arrives all at once. Programs grow one supplier, subsystem, and software release at a time. Teams add another product variant. A new verification activity appears after a design review. Before long, a progr

Ask a machine builder, automation supplier, or robotics manufacturer whether their products are safe, and the answer arrives quickly and with confidence. Ask that same organization to produce, on demand, the complete evidence chain for a single hazard, ho

The model can write the code. It can't write the safety case. AI-generated code introduces new security and compliance considerations as engineering teams accelerate software development. Vulnerabilities in the implementation are only one part of the risk

Device design and software design problems accounted for half of the U.S. recalls of medical devices enabled by artificial intelligence and machine learning (AI/ML) over a 27-year period. That recent analysis of Food and Drug Administration (FDA) recall d

Conversations around AI in medical device development have shifted from whether organizations should adopt AI to how they can use it responsibly. Medical device manufacturers see enormous potential for AI to accelerate requirements development, improve do

For years, MVP development was guided by the goal of shipping early, learning quickly, and reducing waste. Somewhere along the way, Minimum Viable Product became "What's the least amount of work we can put in to ship something?" This thinking optimizes fo

State Medicaid agencies have spent the past decade modernizing technology. Their next challenge will be governing an ecosystem that never stops changing. Federal mandates continue to evolve. Modular architectures mean every policy change can affect multip

IBM Rational DOORS was built in 1991 when it became clear that document-based tools such as Microsoft Office did not offer the capabilities able to manage and analyze requirements traceability. And while it was revolutionary at the time, not much has chan

Teams running Claude or a similar assistant across dozens of sessions hit a familiar wall. The artificial intelligence (AI) forgets decisions made two prompts earlier and reintroduces bugs it already fixed, and the reasoning behind an architecture choice