5 Orders of Magnitude More Accurate than SME defect estimates
Built on the world’s largest database of software defects and failures by a 40-year+ global expert.
7 Powerful Shift to the Left AI Platform Capabilities
Most code analysis and testing tools react to problems after they’re built in—seven integrated tools in the shift to the left AI Platform.
Key Features
AI-Powered defect and edge case prediction
Identify waste, overkill, and overlooked high ROI practices
Visualize optimal spacing of program increments
Requs AI Product Suite revolutionizes reliable, on-time software by automating the heavy lifting of risk analysis and defect prediction. Don’t just test your software—know from the start you’re on the right track.
Uncover the elusive edge cases that standard code coverage and “shall” testing miss with Edge Case. Slash the grueling manual effort of risk assessments with Software FMEA. Foresee defects and RAM metrics before writing code with Predict, while stripping out engineering waste with Optima.
Post-code- Causality stops the madness of repeating fixes by finding systemic trends in Jira tickets, while Trend mathematically forecasts defects in testing to guide a release decision. With Blueprint’s prepackaged, industry-specific libraries, you get instant, domain-expert rigor from day one.
What Makes Requs AI Different?
Decades of research, almost a million data points, led to the “shift to the left” AI Platform
and web scraper that continually harvests failures and analyzes the root causes
Shift to the left Ai Platform integrates nicely between MBSE and automated test suties
Tailored solutions for mission-critical systems.
Shift to the left, AI-powered platform models are built from the world’s most extensive benchmarking study between development factors and escaped defects, and the world’s largest database of software failures analyzed by root cause.
If you have enough data, you can predict almost anything… with reliability prediction software
SEVEN POWERFUL RELIABILITY TOOLS
& THEIR KEY FEATURES
Requs AI Defect Prediction
Shift to the left and avoid death by technical debt by predicting software defects in design.
Key features
1. AI-Powered defect prediction before any code is written
2. Predict inherent risks that can derail the program
3. Visualize optimal spacing of program increments
Requs AI Edge Case Prediction
Test better not longer by identifying hidden edge cases early
Key features
1. Built on the Common Defect Enumeration (root causes of 60 years of failures)
2. Built on 6D CDE – 6 Dimensional model – software doesn’t fail in a silo – the electronics, system, user, mission, environment are involved
3. Design and test recommendations for each edge case
4. Shift to the left AI Platform supports edge case ID when it’s cheapest and fastest
Requs AI Downtime Prediction
Know the system relibility up from by predict software reliability early in the program
Key features
1. RAM predictions as per IEEE 1633
2. Predict reliability growth over each program increment
3. API for integration with hardware RAM tools
Requs AI Software fMEA
AI-driven Software FMEA SAE-1025 AIAG-VDA-compliance
Key features
1. Built on Requs AI Edge Case
2. AI Predicted occurrence
3. Tag the Common Defect Enumerations to system hazards
4. Objective SOD. Mitigate the root causes that matter most.
5. Supports multiple industry FMEA standards, including SAE 1025, AIAG & VDA, IEC 60812, MIL-STD-1629, and DOW DiDs.
6. Ideal for concurrent safety and reliability failure mode analysis
Requs AI Optima
Avoid late and defective software releases by identifying wasteful software development practices with predictive AI.
Key features
1. Accurately predict the risk of project failure from distressed to world-
class
2. Identify “overkilled” development practices and processes
3. Identify high ROI practices that are often overlooked
Requs AI Causality
Stop wasting time fixing the same thing in multiple places with machine learning root cause analysis of Jira issues
Key features
1. Software engineers often don’t see the trends in the root causes. So, the same defect pops up in different places. By fixing the underlying design probl,em you can avoid multiple field fixes.
2. Requs AI Causality finds the common defects in your Jira issues
3. Stop the band-aids and get to the bottom of the design issues and testing gaps
Requs AI Blueprint
This product takes Requs Ai Edge Case and Requs Ai Software FMEA to the next level. Prepopulated edge cases for your application and industry.
Key features
1. You give us public information about your product
2. We prepopulate Requs Ai Edge Cases for you
Requs AI Product Suite
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