{"id":"https://openalex.org/W4284679990","doi":"https://doi.org/10.1145/3510003.3510125","title":"Cross-domain deep code search with meta learning","display_name":"Cross-domain deep code search with meta learning","publication_year":2022,"publication_date":"2022-05-21","ids":{"openalex":"https://openalex.org/W4284679990","doi":"https://doi.org/10.1145/3510003.3510125"},"language":"en","primary_location":{"id":"doi:10.1145/3510003.3510125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510003.3510125","pdf_url":null,"source":{"id":"https://openalex.org/S4363608872","display_name":"Proceedings of the 44th International Conference on Software Engineering","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 44th International Conference on Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2201.00150","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012766337","display_name":"Yitian Chai","orcid":"https://orcid.org/0000-0002-2491-366X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitian Chai","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412598","display_name":"Hongyu Zhang","orcid":"https://orcid.org/0000-0002-3063-9425"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongyu Zhang","raw_affiliation_strings":["The University of Newcastle, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Newcastle, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045672909","display_name":"Beijun Shen","orcid":"https://orcid.org/0000-0001-8370-3956"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beijun Shen","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033286111","display_name":"Xiaodong Gu","orcid":"https://orcid.org/0000-0002-0529-6408"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Gu","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"487","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9930999875068665,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8827009797096252},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6812504529953003},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6386083960533142},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.6199663877487183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5610342025756836},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5569140911102295},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5049160122871399},{"id":"https://openalex.org/keywords/domain-specific-language","display_name":"Domain-specific language","score":0.44073063135147095},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43318280577659607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8827009797096252},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6812504529953003},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6386083960533142},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.6199663877487183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5610342025756836},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5569140911102295},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5049160122871399},{"id":"https://openalex.org/C135257023","wikidata":"https://www.wikidata.org/wiki/Q691358","display_name":"Domain-specific language","level":2,"score":0.44073063135147095},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43318280577659607}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3510003.3510125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510003.3510125","pdf_url":null,"source":{"id":"https://openalex.org/S4363608872","display_name":"Proceedings of the 44th International Conference on Software Engineering","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 44th International Conference on Software Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2201.00150","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.00150","pdf_url":"https://arxiv.org/pdf/2201.00150","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:uon:47315","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.13/1465605","pdf_url":null,"source":{"id":"https://openalex.org/S4377196471","display_name":"NOVA (University of Newcastle Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78757542","host_organization_name":"University of Newcastle Australia","host_organization_lineage":["https://openalex.org/I78757542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2201.00150","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.00150","pdf_url":"https://arxiv.org/pdf/2201.00150","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2058230372","https://openalex.org/W2058724488","https://openalex.org/W2142984810","https://openalex.org/W2157364932","https://openalex.org/W2247374552","https://openalex.org/W2593675739","https://openalex.org/W2794601162","https://openalex.org/W2795144752","https://openalex.org/W2805788202","https://openalex.org/W2890431379","https://openalex.org/W2901515670","https://openalex.org/W2911550516","https://openalex.org/W2962866159","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2968179027","https://openalex.org/W3014451403","https://openalex.org/W3098323906","https://openalex.org/W3098605233","https://openalex.org/W3126104791","https://openalex.org/W3161997752","https://openalex.org/W3170092793","https://openalex.org/W3198685994","https://openalex.org/W3207533378","https://openalex.org/W4253079834"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W2355833770","https://openalex.org/W1985458517","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W2050451745","https://openalex.org/W2378903222"],"abstract_inverted_index":{"Recently,":[0],"pre-trained":[1,77,171],"programming":[2,84],"language":[3],"models":[4,173],"such":[5,98],"as":[6,87,99],"CodeBERT":[7],"have":[8],"demonstrated":[9],"substantial":[10],"gains":[11],"in":[12,42,110,135,178],"code":[13,62,172],"search.":[14,63],"Despite":[15],"their":[16,40],"success,":[17],"they":[18],"rely":[19],"on":[20,78,144],"the":[21,31,111,124,141],"availability":[22],"of":[23,26,82,127],"large":[24,80],"amounts":[25],"parallel":[27],"data":[28],"to":[29,95,122],"fine-tune":[30],"semantic":[32],"mappings":[33],"between":[34],"queries":[35],"and":[36,48,89,91,101,150,161,181],"code.":[37],"This":[38],"restricts":[39],"practicality":[41],"domain-specific":[43,61,96,137,146,179],"languages":[44,85,97,159],"with":[45,152],"relatively":[46],"scarce":[47,187],"expensive":[49],"data.":[50,188],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"CDCS,":[56],"a":[57,66,79,116,136],"novel":[58],"approach":[59,143],"for":[60,186],"CDCS":[64,114,167],"employs":[65],"transfer":[67],"learning":[68],"framework":[69],"where":[70],"an":[71],"initial":[72],"program":[73],"representation":[74],"model":[75,128,153],"is":[76,92,107,183],"corpus":[81],"common":[83],"(such":[86],"Java":[88],"Python),":[90],"further":[93],"adapted":[94],"Solidity":[100,149],"SQL.":[102],"Unlike":[103],"cross-language":[104],"CodeBERT,":[105],"which":[106,130],"directly":[108,176],"fine-tuned":[109,177],"target":[112],"language,":[113],"adapts":[115],"few-shot":[117],"meta-learning":[118],"algorithm":[119],"called":[120],"MAML":[121],"learn":[123],"good":[125],"initialization":[126],"parameters,":[129],"can":[131],"be":[132],"best":[133],"reused":[134],"language.":[138],"We":[139],"evaluate":[140],"proposed":[142],"two":[145,156],"languages,":[147,180],"namely":[148],"SQL,":[151],"transferred":[154],"from":[155],"widely":[157],"used":[158],"(Python":[160],"Java).":[162],"Experimental":[163],"results":[164],"show":[165],"that":[166,174],"significantly":[168],"outperforms":[169],"conventional":[170],"are":[175],"it":[182],"particularly":[184],"effective":[185]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
