Framework migration cost estimator and partial migration tooling for Java teams

The moment happens when an engineering manager or architect is asked to evaluate moving off Apache Struts or OFBiz — either because of a security audit, a modernization push, or a new CTO who doesn't want to support the existing stack. They know migration is expensive, but they can't quantify it. They have no way to show leadership a concrete estimate, and they have no tool to do the migration incrementally without breaking the existing application.

Users explicitly said 'migration from or to a different framework is a time-consuming and costly business' — this isn't an edge case, it's the moment that determines whether teams stay stuck on aging frameworks for years longer than they should. The gap exists because migration tooling is only financially interesting to large consulting firms who bill by the hour — a tool that makes migration faster and cheaper cannibalizes their engagement model. Framework maintainers have zero incentive to make leaving easier.

What teams do today is hire a consultant or assign a senior developer to manually audit the codebase, produce a spreadsheet estimate, and then attempt a big-bang or poorly-managed incremental migration. The audit alone takes weeks. The estimate is often wrong because nobody tracked which parts of the framework are actually used versus which are incidentally imported.

This is a business because migration decisions are made at the organizational level, budgets are real and pre-approved (often tied to a security or compliance driver), and the buyer — an engineering manager or VP Engineering — will pay for a credible estimate and a lower-risk migration path. The need recurs across the industry as frameworks age: Struts 1.x is still running in production at thousands of enterprises.

What to build

Build a static analysis tool that scans a Java codebase, identifies all Apache framework-specific API calls and configuration dependencies (Struts action mappings, OFBiz service engine calls, Shiro filter chains), produces a component-by-component migration complexity report with hour estimates by category, and flags which modules can be migrated independently from which have hard cross-cutting dependencies.

Where to start

Target Apache Struts specifically, where the PCI-DSS and security audit pressure is highest and the 'we need to migrate but don't know how expensive it is' moment is most frequent — this gives a compliance-driven wedge where the buyer already has budget allocated.

The hard part

Accurate hour estimates require calibration data from real migrations, which means early estimates will be wrong enough to damage credibility — the product needs a feedback loop from completed migrations to tune estimates, which requires a customer base you don't have yet.

How it makes money

One-time scan report for a single codebase at $800-$2,000 depending on codebase size; recurring subscription at $300/month for teams doing phased migrations who need re-analysis as the codebase changes.