{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:XC7HZ47DXSK6YYVUBAKTNBRELK","short_pith_number":"pith:XC7HZ47D","schema_version":"1.0","canonical_sha256":"b8be7cf3e3bc95ec62b408153686245ab52e9c8d86e6e37b490010e470d90b3e","source":{"kind":"arxiv","id":"2403.17479","version":1},"attestation_state":"computed","paper":{"title":"Natural Language Requirements Testability Measurement Based on Requirement Smells","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.SE","authors_text":"Morteza Zakeri-Nasrabadi, Saeed Parsa","submitted_at":"2024-03-26T08:19:29Z","abstract_excerpt":"Requirements form the basis for defining software systems' obligations and tasks. Testable requirements help prevent failures, reduce maintenance costs, and make it easier to perform acceptance tests. However, despite the importance of measuring and quantifying requirements testability, no automatic approach for measuring requirements testability has been proposed based on the requirements smells, which are at odds with the requirements testability. This paper presents a mathematical model to evaluate and rank the natural language requirements testability based on an extensive set of nine requ"},"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":"2403.17479","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-26T08:19:29Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f3ecfe4feb83adbf23e8279c390b2396c3488f44af8aad1f2467a448ee8b7266","abstract_canon_sha256":"8ce3035c44cea12ae7608156a148794bffebafd9d5a5ceac93151697bbabac34"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:00:51.120389Z","signature_b64":"SmymTKMkIcrTGL8WyMdLWHazaFBhUvIkEfYxgVJdivv7yb7Dz+T3d6SAFY10340yjM5jdHZXgjqxXoH0zS5yAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b8be7cf3e3bc95ec62b408153686245ab52e9c8d86e6e37b490010e470d90b3e","last_reissued_at":"2026-07-05T08:00:51.119929Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:00:51.119929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Natural Language Requirements Testability Measurement Based on Requirement Smells","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.SE","authors_text":"Morteza Zakeri-Nasrabadi, Saeed Parsa","submitted_at":"2024-03-26T08:19:29Z","abstract_excerpt":"Requirements form the basis for defining software systems' obligations and tasks. Testable requirements help prevent failures, reduce maintenance costs, and make it easier to perform acceptance tests. However, despite the importance of measuring and quantifying requirements testability, no automatic approach for measuring requirements testability has been proposed based on the requirements smells, which are at odds with the requirements testability. This paper presents a mathematical model to evaluate and rank the natural language requirements testability based on an extensive set of nine requ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17479","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/2403.17479/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":"2403.17479","created_at":"2026-07-05T08:00:51.119987+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.17479v1","created_at":"2026-07-05T08:00:51.119987+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17479","created_at":"2026-07-05T08:00:51.119987+00:00"},{"alias_kind":"pith_short_12","alias_value":"XC7HZ47DXSK6","created_at":"2026-07-05T08:00:51.119987+00:00"},{"alias_kind":"pith_short_16","alias_value":"XC7HZ47DXSK6YYVU","created_at":"2026-07-05T08:00:51.119987+00:00"},{"alias_kind":"pith_short_8","alias_value":"XC7HZ47D","created_at":"2026-07-05T08:00:51.119987+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK","json":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK.json","graph_json":"https://pith.science/api/pith-number/XC7HZ47DXSK6YYVUBAKTNBRELK/graph.json","events_json":"https://pith.science/api/pith-number/XC7HZ47DXSK6YYVUBAKTNBRELK/events.json","paper":"https://pith.science/paper/XC7HZ47D"},"agent_actions":{"view_html":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK","download_json":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK.json","view_paper":"https://pith.science/paper/XC7HZ47D","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.17479&json=true","fetch_graph":"https://pith.science/api/pith-number/XC7HZ47DXSK6YYVUBAKTNBRELK/graph.json","fetch_events":"https://pith.science/api/pith-number/XC7HZ47DXSK6YYVUBAKTNBRELK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK/action/storage_attestation","attest_author":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK/action/author_attestation","sign_citation":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK/action/citation_signature","submit_replication":"https://pith.science/pith/XC7HZ47DXSK6YYVUBAKTNBRELK/action/replication_record"}},"created_at":"2026-07-05T08:00:51.119987+00:00","updated_at":"2026-07-05T08:00:51.119987+00:00"}