pith:7JVHQXUX
From Chat to Interview: Agentic Requirements Elicitation with an Experience Ontology
OntoAgent builds an experience ontology to guide LLMs through structured, more complete requirements elicitation interviews.
arxiv:2605.05828 v1 · 2026-05-07 · cs.SE
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Record completeness
Claims
OntoAgent significantly outperforms existing baselines in both elicitation effectiveness and questioning efficiency, achieving a 33% improvement in IRE and a 21% improvement in TKQR.
That experienced analysts implicitly follow a structured cognitive framework that can be automatically extracted into an ontology and that the four operations (ParseUser, ScoreOnto, ReRankOnto, GatePrune) reliably surface relevant concerns without systematic omission of implicit requirements.
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.
References
Receipt and verification
| First computed | 2026-05-28T01:04:41.713599Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7JVHQXUXWOT4ZUQ7RT3HJPBUXF \
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# expect: fa6a785e97b3a7ccd21f8cf674bc34b94d05bd5fa4eb6840e66030580268de17
Canonical record JSON
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