The Problem

Today, software is typically built by teams of developers who are located worldwide. With software growing more and more complicated, reviewing the underlying source code is becoming increasingly difficult. This makes it easier for both unintentional and malicious bugs to slip through and into the field.

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Our Solution

Novel Heat goes above and beyond the capabilities of static text analyzers. It analyzes text but also understands underlying code behavior and structure. And it continues to learn and improve with each software

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How It Works

Each time your code is refactored, a senior member of your team tags it as such. This conveys to Novel Heat your team’s preference on how to write that piece of code correctly. Our solution monitors these patterns of behavior, noting how code is being rewritten.

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01.

Source code abstracted into behavior models

02.

Anti-patterns and vulnerabilities reported

03.

Refactored code analyzed

04.

Machine learning driven knowledge base updated

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Field testing of Novel Heat has begun!

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