Our Impact on Reliable Software
We have analyzed nearly 1 million software failures to determine their root causes and benchmarked the defect density across more than 200 engineering organizations. Drawing from over 30 years of data, we developed the Common Defect Enumeration (CDE). The CDE is the core of the software failure modes effects analysis and software safety hazards analysis.
Our machine-learning models can predict the number and types of software defects before the code is written. These models intelligently identify which Common Defect Enumerations are relevant to your application and system and how likely each will occur. The local effects of the CDEs are then tagged to system effects and missing and safety-related hazards, providing a single analysis for both safe software and reliable software.
The user-friendly interface advises effective mitigations, reducing the time needed to prepare a software FMEA to about a week per capability. It highlights popular software development methods less effective at lowering defects than commonly believed and identifies practices that are the most cost-effective and fastest to integrate, yielding the most significant reduction in defects. The system predicts software failure rates, MTBSF, availability, and reliability early in development.