vFunction has announced the availability of the vFunction Assessment Hub, a product that uses AI to accurately calculate the effect of technical debt across applications, their negative impact on innovation, predict the benefits of refactoring, and then integrate seamlessly into an automated refactoring platform. Companies can now identify the most egregious innovation killers in their application estate, build more accurate and impactful business cases to modernize complex apps, and increase the success rate of their application modernization projects.

According to the company, the new vFunction Assessment Hub, which integrates seamlessly with the vFunction Modernization Hub, is the first modernization assessment solution to analyze the technical debt of a company’s legacy applications, accurately identify the source(s) of that debt, and measure its negative impact on innovation.

The AI-powered solution measures app complexity based on code modularity and dependency entanglements, measures the risk of changes impacting stability based on the depth and length of the dependency chains, and then aggregates these to assess the overall technical debt level. It then benchmarks debt, risk, and complexity against the organization’s own estate, while identifying aging frameworks that could pose future security and licensing risks.

vFunction Assessment Hub directly leads to refactoring, re-architecting, and rewriting applications with the vFunction Modernization Platform.

The vFunction Assessment Hub, packaged in 10-application packs and priced below less functional automated static code analysis tools, is now available for enterprises, in the AWS Marketplace, and through vFunction partnerships with leading Systems Integrators and Cloud Providers.

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