This audit-hardening release aligns the downloadable Windows application with the current documented and tested product state.
Fixed
- made the selected data culture deterministic across import, profiling, validation and cleaning;
- applied a saved profile's culture before parsing source values;
- exposed profile and culture selection before file import;
- limited the interactive preview to 1,000 rows without limiting validation, cleaning, deduplication or export.
Quality
- 63 automated tests, including eight dedicated App/ViewModel regression tests;
- per-assembly line-coverage gates enforced in CI;
- 27 documentation validation checks;
- refreshed portfolio screenshots;
- current supported GitHub Actions versions;
- consistent Dependabot grouping and dependency updates.
Verification
- Release build: zero warnings and zero errors;
- automated tests: 63 passed;
- documentation validation: 27 passed;
DataCleaner.Appline coverage: 58.31%;DataCleaner.Applicationline coverage: 74.03%;DataCleaner.Domainline coverage: 70.37%;DataCleaner.Infrastructureline coverage: 88.56%;- self-contained package:
DataImporterCleaner-v1.0.1-win-x64.zip; - published GitHub package SHA-256:
621B07B0092639F51E2B0373AF0F41408A250E8E4134A3771C6B8C9FA0BCA291; - a matching
.sha256file is published beside the ZIP and is the authoritative checksum for the release asset; - the archive includes
samples/synthetic-customers.csvfor an immediate offline demo.
Known limitations
- Windows x64 only;
- CSV and XLSX input only;
- no fuzzy duplicate matching, cloud synchronization or multi-user features;
- the release is not code-signed;
- clean-machine installation validation was not performed and is not claimed.