4 citations · 4 across the 3 of their papers we have counts for
4 papers
LLM-Assisted Workflow for Structural Difference Visualization in Evolving Software Requirements
Koi McFarland, Songhui Yue
This paper presents an LLM-assisted workflow for visualizing structural differences in evolving software require- ments. Implemented in the OntologyWeb environment, the work- flow…
OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models
Songhui Yue, Yang Shao, Sean Hayes
Query optimization has been studied using machine learning, reinforcement learning, and, more recently, graph-based convolutional networks. Ontology, as a structured, information-r…
LLM-based Zero-shot Triple Extraction for Automated Ontology Generation from Software Engineering Standards
Songhui Yue
Ontologies have supported knowledge representation and white-box reasoning for decades; thus, the automated ontology generation (AOG) plays a crucial role in scaling their use. Sof…
A Data-to-Product Multimodal Conceptual Framework to Achieve Automated Software Evolution for Context-rich Intelligent Applications
Songhui Yue
While AI is extensively transforming Software Engineering (SE) fields, SE is still in need of a framework to overall consider all phases to facilitate Automated Software Evolution…