Relyence reliability prediction®
Integrate Software Reliability Prediction with Relyence reliability prediction®
The only true software reliability prediction software on the market that can be used before the code is written.
Because the IEEE 1633 originated from our research and data, Requs AI Predict doesn't just align with these requirements — it is the physical manifestation of them.
When your team uses Requs AI Predict, they're utilizing the exact logic expected in these standards.
Built for efficiency and compliance.
Automated Reporting
Stop manually formatting compliance reports. Requs AI tools are architected to generate the specific deliverables required by international and industry standards
Built-in Best Practices
Your software development lifecycle is pre-aligned with industry standards the moment you begin using our tools.
Collaboration
Supports import/export for multiple team members. "Save as" features provides for an organization wide template.
Keene model, Musa Prediction Model, Rome Laboratory TR-92-52 are not recommended in 2026 edition
Almost 50 years old. Zero factors and 20 sets of data.
The rate at which defects become failures due to processor speed
The rate of software defects becoming failures are due to number of concurrent users and the combined operational profiles.
Over 25 years old. Only 1 factor is measured.
Process capability is all that matters.
Process is necessary but not sufficient. People who understand the end user and industry are key. High quality artifacts over heavy processes.
Hasn't been updated since 1992. Second largest benchmarking study with 53 datasets and 212 factors.
Assumptions and factors are valid but don't include any new methods since 1992.
Requs Ai Predict incorporates the valid factors into our model while also incorporating the modern methods
Get the only recommended software reliability prediction tool.
Start with the online demo or a demonstration.