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Reliasoft Lambda Predict

ReliaSoft® and Lambda Predict™

Integrate Software Reliability Prediction with ReliaSoft® and Lambda Predict™

Complete system reliability evaluation
Software is now the major source of failure on modern systems. Statement of work requirements are now pointing to the IEEE 1633. Modernize your predictions with Requs AI Predict.
Modernized flexible model - Requs AI Predict
If you don't know all of the inputs - no problem.
IEEE 1633
Complies with clause 5.3.2
Decades of modeling and trending
Over 30 years of failure data
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

High confidence

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.

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Lookup charts, outdated models, subjective inputs or models with too little data.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.
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.

04 — Requs AI Predict vs ReliaSoft Lambda Predict

Requs AI Predict vs ReliaSoft Lambda Predict

Lambda Predict is a respected hardware reliability prediction tool built on component failure-rate handbooks. Requs AI Predict is purpose-built for software — it predicts software reliability and defect density before the code is written, using the IEEE 1633 recommended practice.

Capability
Requs AI
ReliaSoft Lambda Predict
What it predicts
Software reliability, defect density and failure modes
Hardware (electronic/mechanical) failure rates
When it can be used
At requirements stage — before any code exists
After the hardware design and parts list exist
Technical basis
IEEE 1633 recommended practice plus the world's largest software failure dataset
Hardware handbooks such as MIL-HDBK-217 and Telcordia
Software failure modes
Core capability — surfaces software-specific failure modes
Not addressed; designed for physical components
Who developed it
Founded by the co-writer and Chairperson of IEEE 1633
Hardware reliability engineering team
Frequently Asked Questions

Common questions

Q1

Can Lambda Predict predict software reliability?

Answer

No. Lambda Predict is built on hardware failure-rate handbooks (MIL-HDBK-217, Telcordia and similar), which model physical component wear-out. Software does not wear out — its failures come from defects and unhandled edge cases, which is what Requs AI Predict models.

Q2

What standard does Requs AI Predict follow?

Answer

Requs AI Predict follows the IEEE 1633 recommended practice for software reliability. IEEE 1633 is co-written and chaired by our founder, Ann Marie Neufelder.

Q3

Do I need code or test data before using Requs AI Predict?

Answer

No. Requs AI Predict works at the requirements and architecture stage, before any code is written, so reliability risk can be reduced while changes are still cheap.

Get the only recommended software reliability prediction tool.

Start with the online demo or a demonstration.