{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:6F5C7U2AFZQAXDSJZDRDUCRUMH","short_pith_number":"pith:6F5C7U2A","schema_version":"1.0","canonical_sha256":"f17a2fd3402e600b8e49c8e23a0a3461d81a25614e162124cb8a5586938c4ba7","source":{"kind":"arxiv","id":"2207.05132","version":1},"attestation_state":"computed","paper":{"title":"Dev2vec: Representing Domain Expertise of Developers in an Embedding Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.SE","authors_text":"Arghavan Moradi Dakhel, Foutse Khomh, Michel C. Desmarais","submitted_at":"2022-07-11T18:56:49Z","abstract_excerpt":"Accurate assessment of the domain expertise of developers is important for assigning the proper candidate to contribute to a project or to attend a job role. Since the potential candidate can come from a large pool, the automated assessment of this domain expertise is a desirable goal. While previous methods have had some success within a single software project, the assessment of a developer's domain expertise from contributions across multiple projects is more challenging. In this paper, we employ doc2vec to represent the domain expertise of developers as embedding vectors. These vectors are"},"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":"2207.05132","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-07-11T18:56:49Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"a408c8d87eed90b4660f566faae2abe221b6eca40614cc552e7b04bda26e655e","abstract_canon_sha256":"7c20adaf0a2008540666d2f732ee239b972144e31210122a18cdcf7ef4f91976"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:57:19.243453Z","signature_b64":"uJWEM28xxT91RmOx5iyzYZxnFH7Mgn1LmDHLoL5xSaWuAu5c60mytfmSMOtBCF3faeXqk97ITS7ONdM8nswKBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f17a2fd3402e600b8e49c8e23a0a3461d81a25614e162124cb8a5586938c4ba7","last_reissued_at":"2026-07-05T06:57:19.242986Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:57:19.242986Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dev2vec: Representing Domain Expertise of Developers in an Embedding Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.SE","authors_text":"Arghavan Moradi Dakhel, Foutse Khomh, Michel C. Desmarais","submitted_at":"2022-07-11T18:56:49Z","abstract_excerpt":"Accurate assessment of the domain expertise of developers is important for assigning the proper candidate to contribute to a project or to attend a job role. Since the potential candidate can come from a large pool, the automated assessment of this domain expertise is a desirable goal. While previous methods have had some success within a single software project, the assessment of a developer's domain expertise from contributions across multiple projects is more challenging. In this paper, we employ doc2vec to represent the domain expertise of developers as embedding vectors. These vectors are"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.05132","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/2207.05132/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":"2207.05132","created_at":"2026-07-05T06:57:19.243041+00:00"},{"alias_kind":"arxiv_version","alias_value":"2207.05132v1","created_at":"2026-07-05T06:57:19.243041+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.05132","created_at":"2026-07-05T06:57:19.243041+00:00"},{"alias_kind":"pith_short_12","alias_value":"6F5C7U2AFZQA","created_at":"2026-07-05T06:57:19.243041+00:00"},{"alias_kind":"pith_short_16","alias_value":"6F5C7U2AFZQAXDSJ","created_at":"2026-07-05T06:57:19.243041+00:00"},{"alias_kind":"pith_short_8","alias_value":"6F5C7U2A","created_at":"2026-07-05T06:57:19.243041+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/6F5C7U2AFZQAXDSJZDRDUCRUMH","json":"https://pith.science/pith/6F5C7U2AFZQAXDSJZDRDUCRUMH.json","graph_json":"https://pith.science/api/pith-number/6F5C7U2AFZQAXDSJZDRDUCRUMH/graph.json","events_json":"https://pith.science/api/pith-number/6F5C7U2AFZQAXDSJZDRDUCRUMH/events.json","paper":"https://pith.science/paper/6F5C7U2A"},"agent_actions":{"view_html":"https://pith.science/pith/6F5C7U2AFZQAXDSJZDRDUCRUMH","download_json":"https://pith.science/pith/6F5C7U2AFZQAXDSJZDRDUCRUMH.json","view_paper":"https://pith.science/paper/6F5C7U2A","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2207.05132&json=true","fetch_graph":"https://pith.science/api/pith-number/6F5C7U2AFZQAXDSJZDRDUCRUMH/graph.json","fetch_events":"https://pith.science/api/pith-number/6F5C7U2AFZQAXDSJZDRDUCRUMH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6F5C7U2AFZQAXDSJZDRDUCRUMH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6F5C7U2AFZQAXDSJZDRDUCRUMH/action/storage_attestation","attest_author":"https://pith.science/pith/6F5C7U2AFZQAXDSJZDRDUCRUMH/action/author_attestation","sign_citation":"https://pith.science/pith/6F5C7U2AFZQAXDSJZDRDUCRUMH/action/citation_signature","submit_replication":"https://pith.science/pith/6F5C7U2AFZQAXDSJZDRDUCRUMH/action/replication_record"}},"created_at":"2026-07-05T06:57:19.243041+00:00","updated_at":"2026-07-05T06:57:19.243041+00:00"}