{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JYIBDQGQWV3Z2RGA2Q7J65W6V7","short_pith_number":"pith:JYIBDQGQ","schema_version":"1.0","canonical_sha256":"4e1011c0d0b5779d44c0d43e9f76deaff92415333227542c83c3a48cba67e0cb","source":{"kind":"arxiv","id":"2606.28229","version":1},"attestation_state":"computed","paper":{"title":"Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Anil Koyuncu, David Lo, Jacques Klein, Lingfeng Bao, Pawe{\\l} Borsukiewicz, Tegawend\\'e F. Bissyand\\'e, Wendk\\^uuni C. Ou\\'edraogo, Xueqi Dang, Yinghua Li","submitted_at":"2026-06-26T16:18:56Z","abstract_excerpt":"Search-based test generation tools such as EvoSuite produce compilable and high-coverage unit tests at scale, but their suites are often hard to read and maintain. LLMs can generate more natural tests, yet direct generation remains brittle, with compilation rates of only 51-78% in our study. We introduce TestHumanizer, a hybrid SBST+LLM approach that uses LLMs as controlled refactoring layers over compilable SBST suites to improve naming, structure, and developer-oriented clarity while preserving behavior and compilation validity. We evaluate TestHumanizer on 350 classes from Defects4J and SF1"},"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":"2606.28229","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-26T16:18:56Z","cross_cats_sorted":[],"title_canon_sha256":"4381a2d9c4eb3fabcbe56698c829b98b346cd73c60de4662a4e5246ec52f4502","abstract_canon_sha256":"999363baf7fae2536bf88041bfa8539d2a96e1b298346538a38c1e5397100956"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:15:09.903141Z","signature_b64":"FURqXHGKG6zJYTt3H0pT0ON35Tm0sJBtk/32hnWyQKs5uAyjEuKQ7G3YARZTP7kokSsQ0yKU6tB3diM44mmzDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e1011c0d0b5779d44c0d43e9f76deaff92415333227542c83c3a48cba67e0cb","last_reissued_at":"2026-06-29T01:15:09.902746Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:15:09.902746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Anil Koyuncu, David Lo, Jacques Klein, Lingfeng Bao, Pawe{\\l} Borsukiewicz, Tegawend\\'e F. Bissyand\\'e, Wendk\\^uuni C. Ou\\'edraogo, Xueqi Dang, Yinghua Li","submitted_at":"2026-06-26T16:18:56Z","abstract_excerpt":"Search-based test generation tools such as EvoSuite produce compilable and high-coverage unit tests at scale, but their suites are often hard to read and maintain. LLMs can generate more natural tests, yet direct generation remains brittle, with compilation rates of only 51-78% in our study. We introduce TestHumanizer, a hybrid SBST+LLM approach that uses LLMs as controlled refactoring layers over compilable SBST suites to improve naming, structure, and developer-oriented clarity while preserving behavior and compilation validity. We evaluate TestHumanizer on 350 classes from Defects4J and SF1"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28229","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/2606.28229/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":"2606.28229","created_at":"2026-06-29T01:15:09.902804+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.28229v1","created_at":"2026-06-29T01:15:09.902804+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28229","created_at":"2026-06-29T01:15:09.902804+00:00"},{"alias_kind":"pith_short_12","alias_value":"JYIBDQGQWV3Z","created_at":"2026-06-29T01:15:09.902804+00:00"},{"alias_kind":"pith_short_16","alias_value":"JYIBDQGQWV3Z2RGA","created_at":"2026-06-29T01:15:09.902804+00:00"},{"alias_kind":"pith_short_8","alias_value":"JYIBDQGQ","created_at":"2026-06-29T01:15:09.902804+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/JYIBDQGQWV3Z2RGA2Q7J65W6V7","json":"https://pith.science/pith/JYIBDQGQWV3Z2RGA2Q7J65W6V7.json","graph_json":"https://pith.science/api/pith-number/JYIBDQGQWV3Z2RGA2Q7J65W6V7/graph.json","events_json":"https://pith.science/api/pith-number/JYIBDQGQWV3Z2RGA2Q7J65W6V7/events.json","paper":"https://pith.science/paper/JYIBDQGQ"},"agent_actions":{"view_html":"https://pith.science/pith/JYIBDQGQWV3Z2RGA2Q7J65W6V7","download_json":"https://pith.science/pith/JYIBDQGQWV3Z2RGA2Q7J65W6V7.json","view_paper":"https://pith.science/paper/JYIBDQGQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.28229&json=true","fetch_graph":"https://pith.science/api/pith-number/JYIBDQGQWV3Z2RGA2Q7J65W6V7/graph.json","fetch_events":"https://pith.science/api/pith-number/JYIBDQGQWV3Z2RGA2Q7J65W6V7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JYIBDQGQWV3Z2RGA2Q7J65W6V7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JYIBDQGQWV3Z2RGA2Q7J65W6V7/action/storage_attestation","attest_author":"https://pith.science/pith/JYIBDQGQWV3Z2RGA2Q7J65W6V7/action/author_attestation","sign_citation":"https://pith.science/pith/JYIBDQGQWV3Z2RGA2Q7J65W6V7/action/citation_signature","submit_replication":"https://pith.science/pith/JYIBDQGQWV3Z2RGA2Q7J65W6V7/action/replication_record"}},"created_at":"2026-06-29T01:15:09.902804+00:00","updated_at":"2026-06-29T01:15:09.902804+00:00"}