This release delivers intelligent context awareness and massive traceability performance, with AI-powered suggestions and adaptive analysis that automatically adjusts to your requirements' unique characteristics.
🎯 Highlights
Smarter Context Awareness
Massive Graph Performance
AI-Generated Fix Suggestions
Adaptive Analysis of Tracker Fields
🧠CodeBeamer Add-on Improvements
Improved context use in chat
The AI chat system now leverages an upgraded logic to more effectively identify relevant items in response to user queries. When the chat is initiated within the context of a specific requirement, that context is now used in a more intelligent manner to ensure that both the requirement itself and the user's explicit request are considered with appropriate weight during the relevance-matching process, resulting in more accurate and useful responses.
Reference graph performance improvement
The system now supports reference graph construction and querying for analyzing requirements in the context of their upstream / downstream references or for a full traceability analysis. Graph building and handling has been optimized to handle extremely large trace graphs - scaling effectively to sizes in the 10,000+ node range.
AI-Powered Suggestions in Standard Checks
The standard check feature now includes AI-generated improvement suggestions for each issue it found during the analysis. These suggestions provide specific guidance on what to modify in order to align with the applicable rule, making it easier to enhance clarity, compliance, and quality.
Show different analysis types based on tracker item field value
The item analysis can be configured to show different analysis types based on a requirement attribute.
Examples:
No need of weak word check on non-functional requirements
Not running a rule set analysis on requirements in draft stat
📋 Technical Notes
System Requirements
No changes to existing system requirements
All improvements are backward compatible
Known Limitations
Model availability is continuously updated