pedrovgs

pedrovgs / UseCaseCoverage

Public

CLI tool to measure and collect use case coverage for any app or repository!

18
0
89% credibility
Found May 20, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

UseCaseCoverage is a developer tool that helps teams track whether their automated tests actually cover the real-world use cases, features, and bugs they've defined. Instead of just measuring lines of code covered, it measures meaningful coverage by scanning test files for references to use case IDs defined in specification files, then generating visual reports showing what's covered and what gaps exist. Everything runs locally on your machine with no data sent anywhere.

How It Works

1
💡 You realize code coverage isn't enough

Your tests cover 80% of the code, but you still don't know which real features are actually tested.

2
📝 You write down your features and use cases

In simple YAML files, you list your features, the steps each use case should follow, and what you expect to happen.

3
🏷️ You tag your tests with feature IDs

You add the feature ID to your test code—either in a comment, the test name, or anywhere nearby. One test can cover multiple features.

4
🚀 You run the coverage check

With one command, the tool scans your entire project and finds which tests cover which features—no matter what language you use.

5
📊 Your dashboard comes to life

A beautiful report appears showing your overall coverage, which features are tested, and where the gaps are.

🎯 You know exactly what's covered

Now you can see which real-world use cases have automated tests and which ones still need attention—no guessing required.

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AI-Generated Review

What is UseCaseCoverage?

UseCaseCoverage (UCC) is a Rust-based CLI tool that tracks how well your automated tests cover real-world user requirements. Instead of measuring lines of code touched by tests, it maps tests back to declared features, use cases, bugs, and regressions defined in simple YAML files. You write your specs in `.ucc` files, annotate your tests with artifact IDs, and run `ucc report` to generate an interactive HTML dashboard showing coverage gaps, inventory, and metrics. The tool runs entirely locally with no backend or data uploads.

Why is it gaining traction?

The key insight here is that traditional code coverage metrics tell you nothing about whether your tests actually cover user needs. UCC flips this by starting with requirements and working backward to tests. The language-agnostic approach is another draw: you can annotate Swift, TypeScript, Kotlin, or Rust tests using comments, test names, or metadata, making it viable for polyglot monorepos. The privacy-first design (zero infrastructure, local-only) appeals to teams wary of sending specs to third-party services. The GitHub Actions integration makes it easy to gate PRs on coverage thresholds.

Who should use this?

QA engineers who want to report coverage in terms stakeholders understand. Product managers tracking feature completion against test suites. Development teams migrating from requirements documents to BDD-style workflows. Organizations with compliance needs that require documented evidence of test coverage for specific use cases. Not ideal for small personal projects where the overhead of maintaining `.ucc` files outweighs the benefits.

Verdict

UseCaseCoverage solves a real problem with a clean, well-designed solution. The credibility score of 0.8999999761581421% reflects a very early-stage project with only 18 stars, so expect rough edges and evolving APIs. Documentation is solid for the current scope, and the Rust implementation means fast execution even on large codebases. Worth evaluating if you need requirements-level coverage tracking; wait for more community adoption before betting on it for critical workflows.

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