{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:GPN7SMQ6YXT5XALUUEE3E6N7C7","short_pith_number":"pith:GPN7SMQ6","schema_version":"1.0","canonical_sha256":"33dbf9321ec5e7db8174a109b279bf17e637813b44fb8689d8ef69f926492cae","source":{"kind":"arxiv","id":"2309.10205","version":1},"attestation_state":"computed","paper":{"title":"Continuous Integration and Software Quality: A Causal Explanatory Study","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Daniel Alencar da Costa, Eliezio Soares, Uir\\'a Kulesza","submitted_at":"2023-09-18T23:10:34Z","abstract_excerpt":"Continuous Integration (CI) is a software engineering practice that aims to reduce the cost and risk of code integration among teams. Recent empirical studies have confirmed associations between CI and the software quality (SQ). However, no existing study investigates causal relationships between CI and SQ. This paper investigates it by applying the causal Direct Acyclic Graphs (DAGs) technique. We combine two other strategies to support this technique: a literature review and a Mining Software Repository (MSR) study. In the first stage, we review the literature to discover existing associatio"},"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":"2309.10205","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-09-18T23:10:34Z","cross_cats_sorted":[],"title_canon_sha256":"c637be885df1234241d0d6a615689c2e90bdd6a3189272ca2d906c051ae23027","abstract_canon_sha256":"9bcbc376edb2dac9c19ac018cd325cda2fb899d96e35c2638bc138988bca3487"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:51:52.413707Z","signature_b64":"EtnCLI7Zp37ZcjcaOWhgu3DeigI0HrOEnhE+Vf0xJH7+4Eue9VXh34MMLYjgKIAmxEYh0UNPCQfLaZe0lI55Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33dbf9321ec5e7db8174a109b279bf17e637813b44fb8689d8ef69f926492cae","last_reissued_at":"2026-07-05T06:51:52.413240Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:51:52.413240Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Continuous Integration and Software Quality: A Causal Explanatory Study","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Daniel Alencar da Costa, Eliezio Soares, Uir\\'a Kulesza","submitted_at":"2023-09-18T23:10:34Z","abstract_excerpt":"Continuous Integration (CI) is a software engineering practice that aims to reduce the cost and risk of code integration among teams. Recent empirical studies have confirmed associations between CI and the software quality (SQ). However, no existing study investigates causal relationships between CI and SQ. This paper investigates it by applying the causal Direct Acyclic Graphs (DAGs) technique. We combine two other strategies to support this technique: a literature review and a Mining Software Repository (MSR) study. In the first stage, we review the literature to discover existing associatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.10205","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/2309.10205/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":"2309.10205","created_at":"2026-07-05T06:51:52.413295+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.10205v1","created_at":"2026-07-05T06:51:52.413295+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.10205","created_at":"2026-07-05T06:51:52.413295+00:00"},{"alias_kind":"pith_short_12","alias_value":"GPN7SMQ6YXT5","created_at":"2026-07-05T06:51:52.413295+00:00"},{"alias_kind":"pith_short_16","alias_value":"GPN7SMQ6YXT5XALU","created_at":"2026-07-05T06:51:52.413295+00:00"},{"alias_kind":"pith_short_8","alias_value":"GPN7SMQ6","created_at":"2026-07-05T06:51:52.413295+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.28482","citing_title":"Rethinking Software Empirical Studies with Structural Causal Models","ref_index":39,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7","json":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7.json","graph_json":"https://pith.science/api/pith-number/GPN7SMQ6YXT5XALUUEE3E6N7C7/graph.json","events_json":"https://pith.science/api/pith-number/GPN7SMQ6YXT5XALUUEE3E6N7C7/events.json","paper":"https://pith.science/paper/GPN7SMQ6"},"agent_actions":{"view_html":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7","download_json":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7.json","view_paper":"https://pith.science/paper/GPN7SMQ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.10205&json=true","fetch_graph":"https://pith.science/api/pith-number/GPN7SMQ6YXT5XALUUEE3E6N7C7/graph.json","fetch_events":"https://pith.science/api/pith-number/GPN7SMQ6YXT5XALUUEE3E6N7C7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7/action/storage_attestation","attest_author":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7/action/author_attestation","sign_citation":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7/action/citation_signature","submit_replication":"https://pith.science/pith/GPN7SMQ6YXT5XALUUEE3E6N7C7/action/replication_record"}},"created_at":"2026-07-05T06:51:52.413295+00:00","updated_at":"2026-07-05T06:51:52.413295+00:00"}