Reverse Engineering TRIZ Cases
- ML Post-Processing for Static Analysis Bug Severity
Machine learning classifiers estimate bug severity from static analysis datasets to improve code quality assessments.
- Runtime Architecture Extraction via Abstract Graph Transformation
Transforms abstract graphs into runtime graphs to capture containment information for accurate system structure representation.
- Incremental Static Program Analysis via Machine Learning
Machine learning identifies affected code portions to enable incremental static analysis of software updates.
- Modular UML Task Interaction Patterns for Flexible UI Generation
A modular approach constructs UML activity diagrams by selectively including subtask nodes from class diagrams to generate customizable user interfaces.
- Reusable Analytics System for Custom Insights
A reusable analytics system creates and modifies data models to provide custom insights across different areas.