{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:3IXXZ6SD4JTG3ATV5B33WGCZBP","short_pith_number":"pith:3IXXZ6SD","schema_version":"1.0","canonical_sha256":"da2f7cfa43e2666d8275e877bb18590bc941a27cafd65d73e7244e74dcbc383c","source":{"kind":"arxiv","id":"2206.12927","version":2},"attestation_state":"computed","paper":{"title":"An Empirical Study on Bug Severity Estimation using Source Code Metrics and Static Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Ehsan Mashhadi, Gias Uddin, Hadi Hemmati, Shaiful Chowdhury, Somayeh Modaberi","submitted_at":"2022-06-26T17:07:23Z","abstract_excerpt":"In the past couple of decades, significant research efforts have been devoted to the prediction of software bugs (i.e., defects). In general, these works leverage a diverse set of metrics, tools, and techniques to predict which classes, methods, lines, or commits are buggy. However, most existing work in this domain treats all bugs the same, which is not the case in practice. The more severe the bugs the higher their consequences. Therefore, it is important for a defect prediction method to estimate the severity of the identified bugs, so that the higher severity ones get immediate attention. "},"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":"2206.12927","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-26T17:07:23Z","cross_cats_sorted":[],"title_canon_sha256":"14b6c782b7f4796668ed3aefcc8d39c04b2a79f31ff019fadc1ae61de68264b0","abstract_canon_sha256":"b62504ecf81232167ed8505c8c6dbcddd4622fbfa68b1f9dbdce546261bc1807"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:51:40.193141Z","signature_b64":"2k9fqRdz9QTYE5xAbmSE1jjbvHcshw1+4fPYSRWGYo7x3+xPLUA3aFnOUpcZ3tdzQHosdv/vNkRoAYuUX9KXAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da2f7cfa43e2666d8275e877bb18590bc941a27cafd65d73e7244e74dcbc383c","last_reissued_at":"2026-07-05T08:51:40.192747Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:51:40.192747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Empirical Study on Bug Severity Estimation using Source Code Metrics and Static Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Ehsan Mashhadi, Gias Uddin, Hadi Hemmati, Shaiful Chowdhury, Somayeh Modaberi","submitted_at":"2022-06-26T17:07:23Z","abstract_excerpt":"In the past couple of decades, significant research efforts have been devoted to the prediction of software bugs (i.e., defects). In general, these works leverage a diverse set of metrics, tools, and techniques to predict which classes, methods, lines, or commits are buggy. However, most existing work in this domain treats all bugs the same, which is not the case in practice. The more severe the bugs the higher their consequences. Therefore, it is important for a defect prediction method to estimate the severity of the identified bugs, so that the higher severity ones get immediate attention. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.12927","kind":"arxiv","version":2},"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/2206.12927/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":"2206.12927","created_at":"2026-07-05T08:51:40.192801+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.12927v2","created_at":"2026-07-05T08:51:40.192801+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.12927","created_at":"2026-07-05T08:51:40.192801+00:00"},{"alias_kind":"pith_short_12","alias_value":"3IXXZ6SD4JTG","created_at":"2026-07-05T08:51:40.192801+00:00"},{"alias_kind":"pith_short_16","alias_value":"3IXXZ6SD4JTG3ATV","created_at":"2026-07-05T08:51:40.192801+00:00"},{"alias_kind":"pith_short_8","alias_value":"3IXXZ6SD","created_at":"2026-07-05T08:51:40.192801+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/3IXXZ6SD4JTG3ATV5B33WGCZBP","json":"https://pith.science/pith/3IXXZ6SD4JTG3ATV5B33WGCZBP.json","graph_json":"https://pith.science/api/pith-number/3IXXZ6SD4JTG3ATV5B33WGCZBP/graph.json","events_json":"https://pith.science/api/pith-number/3IXXZ6SD4JTG3ATV5B33WGCZBP/events.json","paper":"https://pith.science/paper/3IXXZ6SD"},"agent_actions":{"view_html":"https://pith.science/pith/3IXXZ6SD4JTG3ATV5B33WGCZBP","download_json":"https://pith.science/pith/3IXXZ6SD4JTG3ATV5B33WGCZBP.json","view_paper":"https://pith.science/paper/3IXXZ6SD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.12927&json=true","fetch_graph":"https://pith.science/api/pith-number/3IXXZ6SD4JTG3ATV5B33WGCZBP/graph.json","fetch_events":"https://pith.science/api/pith-number/3IXXZ6SD4JTG3ATV5B33WGCZBP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3IXXZ6SD4JTG3ATV5B33WGCZBP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3IXXZ6SD4JTG3ATV5B33WGCZBP/action/storage_attestation","attest_author":"https://pith.science/pith/3IXXZ6SD4JTG3ATV5B33WGCZBP/action/author_attestation","sign_citation":"https://pith.science/pith/3IXXZ6SD4JTG3ATV5B33WGCZBP/action/citation_signature","submit_replication":"https://pith.science/pith/3IXXZ6SD4JTG3ATV5B33WGCZBP/action/replication_record"}},"created_at":"2026-07-05T08:51:40.192801+00:00","updated_at":"2026-07-05T08:51:40.192801+00:00"}