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Software reliability prediction software

AI enabled software uses machine learning to predict RAM metrics early in the program

Compliant with IEEE 1633

Requs AI Predict reliability prediction software
IEEE 1633
Complies with clause 5.3.2
Decades of modeling and trending
Over 30 years of failure data
USAF Rome Laboratory
When this model was retired, we incorporated the timeless factors and lessons learned
01 — Authority

Our founder is the global leader in software reliability prediction

Standards Body

IEEE 1633 Leadership

Chair of the 2026 IEEE 1633 working group — the governing standard for software reliability engineering.

Continual lessons learned applied to the world's largest defect density benchmarking study

Section 7

While others fail to keep their model factors current with technology - we're on our 8th major revision since 1993.

World's largest database of software failures analyzed by root cause

CDE Taxonomy inventor

From it, we created the Common Defect Enumeration, the primary taxonomy currently adopted and cited across DOW technical frameworks.

02 — Requs Ai Predict

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. See how in our whitepaper, Predicting Software Reliability Early.

When your team uses Requs AI Predict, they're utilizing the exact logic expected in these standards.

Capability
Other "prediction" software
Our solution
Compliant with industry standards
Not compliant with IEEE 1633 clause 5.3.2
Our machine learning model is recommended
Used before code is written
Requires software failure data which isn't available until later in development
Answer some questions and get an answer
Includes modern software engineering practices like Agile and MBSE
USAF RL TR-92-52 hasn't been updated since 1992
Kept up to date for modern methods, processes, and techniques.
Accuracy
Lookup charts, outdated models, subjective inputs or models with too little data.
Requs Ai Predict has the most parameters, most data, and most recent data. No subjective inputs.
Integration with other tools
Standalone
Supports 217Plus/PTC
software reliability prediction results dashboard

Requs AI Predict output: failure rate, MTTF, critical failure rate, and MTTCF, each with lower bound, nominal, and upper bound estimates — alongside reliability and availability projections.

reliability prediction trend chart

Predicted MTTCF, unavailability, and unreliability trending month over month, with upper and lower bounds shown as the model updates with new data.

Why Requs AI Predict

Built for efficiency and compliance.

01 — REPORTING

Automated Reporting

Stop manually formatting compliance reports. Requs AI tools are architected to generate the specific deliverables required by international and industry standards

02 — WORKFLOW

Built-in Best Practices

Your software development lifecycle is pre-aligned with industry standards the moment you begin using our tools.

03 — INTEGRATED MULTIFUNCTIONAL TEAM

Collaboration

Supports import/export for multiple team members. "Save as" features provides for an organization wide template.

Get the only recommended software reliability prediction tool.

Start with the online demo or a demonstration.