metadata-accuracy

Verify App Store metadata against implemented features by scanning metadata files and cross-referencing claimed capabilities with actual Swift and Objective-C source code. This reconciliation detects mismatches and enforces App Store submission compliance.

Metadata-to-code reconciliation confirms that features described in fastlane metadata or App Store descriptions actually exist in the codebase. It identifies unsupported ARKit or CoreML references to prevent misleading app submissions.

Yes, you can check fastlane metadata for unimplemented claims by scanning metadata files and cross-referencing ARKit and CoreML references against your Swift and Objective-C sources to confirm whether the claimed features are actually present.

Yes, metadata verification supports cross-platform macOS projects by collecting Swift, Objective-C, and cross-platform stack sources. It scans these sources alongside metadata files to confirm feature presence across different iOS and macOS builds.

App Store Guideline 2.3.1 requires metadata accuracy checks because it prohibits misleading app descriptions. Reconciling metadata with implemented features flags future-feature claims and prevents app submission rejection due to inaccurate descriptions.

Automated feature reconciliation limitations include relying on accurate scanning of metadata files and source code to detect mismatches. It requires collecting comprehensive Swift and Objective-C sources to correctly identify unimplemented ARKit or CoreML references.