{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:4EVKXBYB4POSDY5N2JHIV66WLF","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d5d2ecd311052b914b066f3aa631b09c3ec2ec29ab660b0ed644dd6d9b7eb4d0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2021-02-24T01:02:11Z","title_canon_sha256":"de083e60d9b91a9ee6d02d350e2873254b5c62193cd1f49ce9279291bf642ed5"},"schema_version":"1.0","source":{"id":"2102.12007","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.12007","created_at":"2026-07-05T02:18:08Z"},{"alias_kind":"arxiv_version","alias_value":"2102.12007v1","created_at":"2026-07-05T02:18:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.12007","created_at":"2026-07-05T02:18:08Z"},{"alias_kind":"pith_short_12","alias_value":"4EVKXBYB4POS","created_at":"2026-07-05T02:18:08Z"},{"alias_kind":"pith_short_16","alias_value":"4EVKXBYB4POSDY5N","created_at":"2026-07-05T02:18:08Z"},{"alias_kind":"pith_short_8","alias_value":"4EVKXBYB","created_at":"2026-07-05T02:18:08Z"}],"graph_snapshots":[{"event_id":"sha256:56934060c6156391b549450463052408cec00cc927d16956762fdc4e73db9354","target":"graph","created_at":"2026-07-05T02:18:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2102.12007/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Software defect prediction models are classifiers that are constructed from historical software data. Such software defect prediction models have been proposed to help developers optimize the limited Software Quality Assurance (SQA) resources and help managers develop SQA plans. Prior studies have different goals for their defect prediction models and use different techniques for generating visual explanations of their models. Yet, it is unclear what are the practitioners' perceptions of (1) these defect prediction model goals, and (2) the model-agnostic techniques used to visualize these mode","authors_text":"Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2021-02-24T01:02:11Z","title":"Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.12007","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:bb1d3fa1c0e1c303696de7a8ca26317ef59bf2e5c2bc156481f30c7c773722e7","target":"record","created_at":"2026-07-05T02:18:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d5d2ecd311052b914b066f3aa631b09c3ec2ec29ab660b0ed644dd6d9b7eb4d0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2021-02-24T01:02:11Z","title_canon_sha256":"de083e60d9b91a9ee6d02d350e2873254b5c62193cd1f49ce9279291bf642ed5"},"schema_version":"1.0","source":{"id":"2102.12007","kind":"arxiv","version":1}},"canonical_sha256":"e12aab8701e3dd21e3add24e8afbd65961cdff33fc6f1fe0131685e576ce61ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e12aab8701e3dd21e3add24e8afbd65961cdff33fc6f1fe0131685e576ce61ba","first_computed_at":"2026-07-05T02:18:08.254606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:18:08.254606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u6G2ZS4dQA1xhfViVd4XgvUNxTEnkbP8Lq8RYubTnlw/xgFKBTp8dm/4aJZQ8NF+BwYaklhSqwQeIc4AKZULAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:18:08.255068Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.12007","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb1d3fa1c0e1c303696de7a8ca26317ef59bf2e5c2bc156481f30c7c773722e7","sha256:56934060c6156391b549450463052408cec00cc927d16956762fdc4e73db9354"],"state_sha256":"8031b5ab425aff6764390c2e95e1a010a688608148208d8b5a49b44d5c374eab"}