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.
Elicitron: A large language model agent-based simulation framework for design requirements elicitation
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UNVERDICTED 2representative citing papers
OpsAgent presents a training-free multi-agent framework with dual self-evolution for automated incident management in microservices, claiming SOTA results on OPENRCA benchmark and successful production deployment at Lenovo.
citing papers explorer
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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.
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OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices
OpsAgent presents a training-free multi-agent framework with dual self-evolution for automated incident management in microservices, claiming SOTA results on OPENRCA benchmark and successful production deployment at Lenovo.