{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:M2TANQM77QBF3T2KGUD6YUI5FH","short_pith_number":"pith:M2TANQM7","schema_version":"1.0","canonical_sha256":"66a606c19ffc025dcf4a3507ec511d29c9d9d3594a30c4ca4a2948ab92ee35f4","source":{"kind":"arxiv","id":"2307.07381","version":1},"attestation_state":"computed","paper":{"title":"Investigating ChatGPT's Potential to Assist in Requirements Elicitation Processes","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Christian Berger, Jennifer Horkoff, Krishna Ronanki","submitted_at":"2023-07-14T14:45:36Z","abstract_excerpt":"Natural Language Processing (NLP) for Requirements Engineering (RE) (NLP4RE) seeks to apply NLP tools, techniques, and resources to the RE process to increase the quality of the requirements. There is little research involving the utilization of Generative AI-based NLP tools and techniques for requirements elicitation. In recent times, Large Language Models (LLM) like ChatGPT have gained significant recognition due to their notably improved performance in NLP tasks. To explore the potential of ChatGPT to assist in requirements elicitation processes, we formulated six questions to elicit requir"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.07381","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2023-07-14T14:45:36Z","cross_cats_sorted":[],"title_canon_sha256":"9cbb1f191883667cec756872517713ef7cc600316f65bac197961c0d0aa7060d","abstract_canon_sha256":"f99f741efe03d71d516916b2eb53f926b56f2197ec639d2ccfba9cbbb7640620"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:30:54.828115Z","signature_b64":"XdmN+s+UMulCZdkrZolrp07CMJsEBsod6OJxV0Pm8gstvmnlimHHapBhGYAQDU2K5X9tZpVwfbQ7p11BO4/AAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66a606c19ffc025dcf4a3507ec511d29c9d9d3594a30c4ca4a2948ab92ee35f4","last_reissued_at":"2026-07-05T06:30:54.827703Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:30:54.827703Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Investigating ChatGPT's Potential to Assist in Requirements Elicitation Processes","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Christian Berger, Jennifer Horkoff, Krishna Ronanki","submitted_at":"2023-07-14T14:45:36Z","abstract_excerpt":"Natural Language Processing (NLP) for Requirements Engineering (RE) (NLP4RE) seeks to apply NLP tools, techniques, and resources to the RE process to increase the quality of the requirements. There is little research involving the utilization of Generative AI-based NLP tools and techniques for requirements elicitation. In recent times, Large Language Models (LLM) like ChatGPT have gained significant recognition due to their notably improved performance in NLP tasks. To explore the potential of ChatGPT to assist in requirements elicitation processes, we formulated six questions to elicit requir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.07381","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.07381/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.07381","created_at":"2026-07-05T06:30:54.827768+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.07381v1","created_at":"2026-07-05T06:30:54.827768+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.07381","created_at":"2026-07-05T06:30:54.827768+00:00"},{"alias_kind":"pith_short_12","alias_value":"M2TANQM77QBF","created_at":"2026-07-05T06:30:54.827768+00:00"},{"alias_kind":"pith_short_16","alias_value":"M2TANQM77QBF3T2K","created_at":"2026-07-05T06:30:54.827768+00:00"},{"alias_kind":"pith_short_8","alias_value":"M2TANQM7","created_at":"2026-07-05T06:30:54.827768+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.01006","citing_title":"REConnect: Participatory RE for Social Sustainability","ref_index":65,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH","json":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH.json","graph_json":"https://pith.science/api/pith-number/M2TANQM77QBF3T2KGUD6YUI5FH/graph.json","events_json":"https://pith.science/api/pith-number/M2TANQM77QBF3T2KGUD6YUI5FH/events.json","paper":"https://pith.science/paper/M2TANQM7"},"agent_actions":{"view_html":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH","download_json":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH.json","view_paper":"https://pith.science/paper/M2TANQM7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.07381&json=true","fetch_graph":"https://pith.science/api/pith-number/M2TANQM77QBF3T2KGUD6YUI5FH/graph.json","fetch_events":"https://pith.science/api/pith-number/M2TANQM77QBF3T2KGUD6YUI5FH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH/action/storage_attestation","attest_author":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH/action/author_attestation","sign_citation":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH/action/citation_signature","submit_replication":"https://pith.science/pith/M2TANQM77QBF3T2KGUD6YUI5FH/action/replication_record"}},"created_at":"2026-07-05T06:30:54.827768+00:00","updated_at":"2026-07-05T06:30:54.827768+00:00"}