This release brings significant scalability improvements, advanced model upgrades, and enhanced analysis capabilities to handle enterprise-scale requirements with greater performance and precision.
🎯 Highlights
Enterprise-scale platform handling millions of requirements
Next-generation Raiqon7Bv2 model integration
Improved analysis processing workflow
Enhanced Requirement Discovery features
Automatic traceability analysis updates
🧠 CodeBeamer Add-on Improvements
Performance & Scalability
Advanced Scalability
Support for millions of requirements
Optimized for real production data
Instant responses with limited hardware requirements
Performance validated with enterprise-scale deployments
Project Analysis Optimization
On-demand analysis triggered from project statistics panel
Eliminated unnecessary precomputation
Significant performance improvements
Note: Analysis now runs only when explicitly requested
Model & Analysis Upgrades
Raiqon7Bv2 Integration
State-of-the-art LLM technology
Enhanced authoring with specialized fine-tuned adapters
Improved Raiqon chat quality
Superior results across all AI-powered features
Analysis Workflow Enhancements
Full analysis suite triggered by report requests
Prioritized calculation of unprocessed results
Up-to-date reports with comprehensive results
Note: Large scope analysis may require extended processing time
Automated Traceability Analysis
Background processing for reference graph updates
Automatic analysis triggered by CodeBeamer reference changes
No manual intervention required to keep results current
Always up-to-date traceability information
Requirement Discovery Improvements
Enhanced Configuration
New match threshold selector for AI Quick Scan
Configurable similar item threshold
More precise control over matching results
Tracker Distribution Statistics
Visual representation of tracker overlap
Sorted list by matching/similar item count
Easy identification of trackers with most significant overlap
Improved insight into requirement relationships
Interface Enhancements
Traceability Browser
Direct reference removal capability
Streamlined reference management
More efficient traceability workflow
Extended Feedback System
Feedback capabilities across all analysis types
Data collection for model refinement
Continuous improvement framework
Technical Improvements
API Enhancements
New DNN endpoint for scope-based analysis tasks
Strict model validation in DNN API
Improved external connector development
Reduced interface errors
📄 PDF Importer Improvements
AI and Manual Annotation Integration
Merged manual annotations with AI text extraction
Combined approach for optimal results
Enhanced content detection and classification
Best-of-both-worlds solution for accuracy
📋 Technical Notes
System Requirements
No changes to existing system requirements
All improvements are backward compatible
Known Limitations
Project analysis requires explicit triggering via statistics panel
Large scope analysis may require extended processing time