Release 1.10.0 - Context - January 2025

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This release introduces context-aware AI analysis, enhanced requirement discovery features, and improved PDF handling capabilities, making your requirements engineering process more intelligent and efficient.

🎯 Highlights

  • Context-aware AI review using CodeBeamer references

  • Enhanced requirement discovery with visual change tracking

  • Improved test condition generation with semantic filtering

  • Support for bilingual PDF documents

  • Third-party plugin integration for custom analysis

🧠 CodeBeamer Add-on Enhancements

AI Review Improvements

  • Context-Aware Analysis

    • Integration with CodeBeamer reference links

    • Uses upstream/downstream items for comprehensive analysis

    • Improved traceability and completeness checking

    • Note: Analysis quality depends on correct link maintenance

  • Level-Based Analysis

    • ASPICE process-aligned requirement level definitions

    • Customized rule selection based on requirement classification

    • More relevant analysis results per requirement level

  • Quality Focus Enhancement

    • Eliminated duplicate issues across quality focus groups

    • Semantic similarity-based issue filtering

    • Cleaner, more focused feedback

    • Higher overall analysis quality

Requirement Discovery

  • Visual Difference Tracking

    • Interactive word-by-word difference highlighting

    • Toggle comparison view on/off

    • Faster requirement comparison process

    • Note: Also detects HTML formatting changes

  • Enhanced Export Capabilities

    • Support for lookup scope field inclusion

    • Works with multiple projects/trackers

    • Flexible XLS/CSV export options

Test Generation

  • Semantic Filtering

    • Reduced redundant test conditions

    • Improved semantic similarity detection

    • Better overall test coverage quality

    • More focused test condition lists

Integration Capabilities

  • Third-Party Plugin Support

    • Custom analysis tool integration

    • Support for customer-specific AI models

    • Automated permission management

    • Streamlined data acquisition

📄 PDF Parser Improvements

Bilingual Document Support

  • New column selection options

    • Keep single language column

    • Maintain both language columns

    • Flexible content extraction

ReqIF Export Enhancement

  • Improved text block merging

  • Proper handling of image and table captions

    • Automatic italic formatting

    • Better visual hierarchy

  • Dynamic table width calculation

  • More accurate document structure preservation

📋 Technical Notes

System Requirements

  • No changes to existing system requirements

  • All improvements are backward compatible

Known Limitations

  • AI review accuracy depends on reference link quality

  • HTML formatting changes may affect difference highlighting