OntoAgent uses an automatically constructed experience ontology and four guided operations to conduct requirements interviews, outperforming baselines with 33% better IRE and 21% better TKQR in website application experiments.
Jinet al., ‘‘iReDev: A knowledge-driven multi-agent framework for intelligent requirements development,’’
2 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
ArgRE embeds abstract argumentation into multi-agent requirements negotiation to deliver argument-level traceability, higher evaluator-rated justifications, and improved compliance coverage over heuristic baselines.
citing papers explorer
-
From Chat to Interview: Agentic Requirements Elicitation with an Experience Ontology
OntoAgent uses an automatically constructed experience ontology and four guided operations to conduct requirements interviews, outperforming baselines with 33% better IRE and 21% better TKQR in website application experiments.
-
ArgRE: Formal Argumentation for Conflict Resolution in Multi-Agent Requirements Negotiation
ArgRE embeds abstract argumentation into multi-agent requirements negotiation to deliver argument-level traceability, higher evaluator-rated justifications, and improved compliance coverage over heuristic baselines.