
Reliable software is for any industry
Safe and Reliable Software
Mission Ready Software supports all engineering companies developing software-intensive systems. If it flies, orbits, launches, hovers, floats, transports, surveils, diagnoses, powers, commands, controls, or communicates, we can make it mission-ready.
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PREDICT FAILURES BEFORE THEY HAPPEN
REQUS AI PREDICT & REQUS SOFTWARE FMEA
Our cutting-edge software using AI, makes it easier than ever before to predict and prevent software failures before the code is even written.
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In-person and Virtual
Comprehensive Software Reliability Training
We offer many formats for completing training related to software reliability. Our software safety and software reliability training is based on the world's most extensive database of software failures and root causes.
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The amount of software in a system doubles every 4 years
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However, the degree to which defects are reduced in development or testing is not improving. So failures due to software are increasing rapidly.
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The cost of unreliable software is also increasing
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Cost of software failures increases 42% every 4 years
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The cost of technical debt increases by 16% every 4 years
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The cost of fixing defects increases 21% every 2 years
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A single software failure can cause 10s of billions of dollars.
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Unreliable software is causing failed projects regarding time or budget
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65% of software projects are not on time or within budget
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Cost of failed software projects increases 46% every 4 years
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Reliable software is a prerequisite for safe and secure software
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A software failure from the same root cause can happen on multiple systems at the same time and several times a day or hour
Solutions
The Largest database of software failures analyzed by root cause. The most extensive, reliable software benchmarking study, with 679 development factors, was measured at hundreds of engineering companies. 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 model – Requs AI Predict- predicts the number and types of software defects before the code is written. It also predicts which development factors don’t correlate to reduced defects, so you can spend time and money on those that do. Requs Software FMEA predicts which Common Defect Enumerations are relevant and likely.