{"id":"https://openalex.org/W4225407062","doi":"https://doi.org/10.24963/ijcai.2022/775","title":"Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code","display_name":"Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4225407062","doi":"https://doi.org/10.24963/ijcai.2022/775"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/775","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/775","pdf_url":"https://www.ijcai.org/proceedings/2022/0775.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0775.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061689324","display_name":"Changan Niu","orcid":"https://orcid.org/0000-0003-4358-5451"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changan Niu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114069160","display_name":"C. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyi Li","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073104000","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0002-9036-0063"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102732054","display_name":"Vincent Ng","orcid":"https://orcid.org/0000-0001-8237-429X"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent Ng","raw_affiliation_strings":["Human Language Technology Research Institute, University of Texas at Dallas, Richardson, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Research Institute, University of Texas at Dallas, Richardson, Texas, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2209,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95238776,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5546","last_page":"5555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.725580632686615},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6693156361579895},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.6212673783302307},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.6059918999671936},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5380262136459351},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5149000883102417},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49654489755630493},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44181105494499207},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43611517548561096},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.4226512610912323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36746376752853394},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1892274022102356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725580632686615},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6693156361579895},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.6212673783302307},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.6059918999671936},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5380262136459351},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5149000883102417},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49654489755630493},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44181105494499207},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43611517548561096},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.4226512610912323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36746376752853394},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1892274022102356},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/775","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/775","pdf_url":"https://www.ijcai.org/proceedings/2022/0775.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/775","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/775","pdf_url":"https://www.ijcai.org/proceedings/2022/0775.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4162813058","display_name":"RI: Small: Fast, Scalable Joint Inference for NLP using Markov Logic","funder_award_id":"1528037","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6607556526","display_name":null,"funder_award_id":"61802167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225407062.pdf","grobid_xml":"https://content.openalex.org/works/W4225407062.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W2065053490","https://openalex.org/W2282866165","https://openalex.org/W2533695286","https://openalex.org/W2620994026","https://openalex.org/W2786865417","https://openalex.org/W2806718802","https://openalex.org/W2807964941","https://openalex.org/W2884276923","https://openalex.org/W2896457183","https://openalex.org/W2898487021","https://openalex.org/W2914933759","https://openalex.org/W2952729433","https://openalex.org/W2954823997","https://openalex.org/W2962739339","https://openalex.org/W2962936887","https://openalex.org/W2962995178","https://openalex.org/W2963392741","https://openalex.org/W2964110616","https://openalex.org/W2964194820","https://openalex.org/W2965373594","https://openalex.org/W2970490744","https://openalex.org/W2970597249","https://openalex.org/W2972082064","https://openalex.org/W2972135640","https://openalex.org/W2979271470","https://openalex.org/W2995903212","https://openalex.org/W2996086147","https://openalex.org/W2997275048","https://openalex.org/W3000135256","https://openalex.org/W3011574394","https://openalex.org/W3014339000","https://openalex.org/W3016234956","https://openalex.org/W3034549508","https://openalex.org/W3034999214","https://openalex.org/W3035300716","https://openalex.org/W3035882142","https://openalex.org/W3086449553","https://openalex.org/W3089307846","https://openalex.org/W3098044990","https://openalex.org/W3098605233","https://openalex.org/W3105903381","https://openalex.org/W3108032709","https://openalex.org/W3119507053","https://openalex.org/W3121707215","https://openalex.org/W3125488228","https://openalex.org/W3126675481","https://openalex.org/W3161997752","https://openalex.org/W3165081941","https://openalex.org/W3165978460","https://openalex.org/W3170092793","https://openalex.org/W3170962973","https://openalex.org/W3173063387","https://openalex.org/W3173130715","https://openalex.org/W3173450168","https://openalex.org/W3173854146","https://openalex.org/W3176724752","https://openalex.org/W3183962691","https://openalex.org/W3198188208","https://openalex.org/W3198685994","https://openalex.org/W3217001695","https://openalex.org/W4205371973","https://openalex.org/W4221155122","https://openalex.org/W4226326075","https://openalex.org/W4285338683","https://openalex.org/W4287328196","https://openalex.org/W4287824654","https://openalex.org/W4288089799","https://openalex.org/W4292779060","https://openalex.org/W4381683870","https://openalex.org/W4385245566","https://openalex.org/W4394638297"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W187246281","https://openalex.org/W3081644756"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"seen":[3],"the":[4,16],"successful":[5],"application":[6],"of":[7,20,23,37,45,50],"deep":[8],"learning":[9],"to":[10,30],"software":[11],"engineering":[12],"(SE).":[13],"In":[14],"particular,":[15],"development":[17],"and":[18,52],"use":[19],"pre-trained":[21],"models":[22],"source":[24],"code":[25],"has":[26],"enabled":[27],"state-of-the-art":[28],"results":[29],"be":[31],"achieved":[32],"on":[33,54],"a":[34],"wide":[35],"variety":[36],"SE":[38],"tasks.":[39],"This":[40],"paper":[41],"provides":[42],"an":[43],"overview":[44],"this":[46],"rapidly":[47],"advancing":[48],"field":[49],"research":[51,56],"reflects":[53],"future":[55],"directions.":[57]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
