{"id":"https://openalex.org/W4403486309","doi":"https://doi.org/10.1007/s10664-024-10573-2","title":"Type-migrating C-to-Rust translation using a large language model","display_name":"Type-migrating C-to-Rust translation using a large language model","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4403486309","doi":"https://doi.org/10.1007/s10664-024-10573-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10664-024-10573-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10664-024-10573-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10664-024-10573-2.pdf","source":{"id":"https://openalex.org/S109852484","display_name":"Empirical Software Engineering","issn_l":"1382-3256","issn":["1382-3256","1573-7616"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Empirical Software Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10664-024-10573-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024932910","display_name":"Jaemin Hong","orcid":"https://orcid.org/0000-0003-4067-7369"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaemin Hong","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, 34141, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4067-7369","affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, 34141, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087492388","display_name":"Sukyoung Ryu","orcid":"https://orcid.org/0000-0002-0019-9772"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sukyoung Ryu","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, 34141, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0019-9772","affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, 34141, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024932910"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":5.9082,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.96725634,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"30","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9714999794960022,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9714999794960022,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6525342464447021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5862758159637451},{"id":"https://openalex.org/keywords/rust","display_name":"Rust (programming language)","score":0.49274757504463196},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45063960552215576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4023347795009613},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3125619888305664},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06227898597717285}],"concepts":[{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6525342464447021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5862758159637451},{"id":"https://openalex.org/C197781089","wikidata":"https://www.wikidata.org/wiki/Q575650","display_name":"Rust (programming language)","level":2,"score":0.49274757504463196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45063960552215576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4023347795009613},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3125619888305664},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06227898597717285},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10664-024-10573-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10664-024-10573-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10664-024-10573-2.pdf","source":{"id":"https://openalex.org/S109852484","display_name":"Empirical Software Engineering","issn_l":"1382-3256","issn":["1382-3256","1573-7616"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Empirical Software Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10664-024-10573-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10664-024-10573-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10664-024-10573-2.pdf","source":{"id":"https://openalex.org/S109852484","display_name":"Empirical Software Engineering","issn_l":"1382-3256","issn":["1382-3256","1573-7616"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Empirical Software Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G1695102742","display_name":null,"funder_award_id":"2022-0-00460","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G347339228","display_name":null,"funder_award_id":"2022R1A2C200366011","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4447486136","display_name":null,"funder_award_id":"2021R1A5A1021944","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7369723383","display_name":null,"funder_award_id":"2021R1A5A1021944","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G914813273","display_name":null,"funder_award_id":"G01210570","funder_id":"https://openalex.org/F4320332195","funder_display_name":"Samsung"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403486309.pdf","grobid_xml":"https://content.openalex.org/works/W4403486309.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1972141422","https://openalex.org/W1976721395","https://openalex.org/W2013892605","https://openalex.org/W2054855378","https://openalex.org/W2074032109","https://openalex.org/W2169974813","https://openalex.org/W2247864914","https://openalex.org/W2779850521","https://openalex.org/W3098605233","https://openalex.org/W3198685994","https://openalex.org/W3205049031","https://openalex.org/W4313547549","https://openalex.org/W4362676373","https://openalex.org/W4384302891","https://openalex.org/W4384345708","https://openalex.org/W4384345745","https://openalex.org/W4384345830","https://openalex.org/W4384471416","https://openalex.org/W4388598889","https://openalex.org/W4394769102","https://openalex.org/W4399557965","https://openalex.org/W4400582609","https://openalex.org/W4401996408","https://openalex.org/W6600050674","https://openalex.org/W6600234944","https://openalex.org/W6601399257"],"related_works":["https://openalex.org/W2321095224","https://openalex.org/W2368593304","https://openalex.org/W2037562491","https://openalex.org/W2508646920","https://openalex.org/W2004186295","https://openalex.org/W2014489614","https://openalex.org/W1411230624","https://openalex.org/W4238766978","https://openalex.org/W4296563699","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Abstract":[0],"Rust,":[1],"a":[2,27,93,97,181,223,230],"modern":[3],"system":[4,21],"programming":[5,160],"language,":[6],"introduces":[7],"new":[8],"types":[9,65,69,102,179,228],"that":[10,218],"prevent":[11],"memory":[12],"bugs":[13],"and":[14,66,123,159,180,206,229],"data":[15],"races.":[16],"This":[17,106],"makes":[18],"translating":[19,88],"legacy":[20],"programs":[22],"from":[23],"C":[24,64,83,90],"to":[25,30,43,57,78,85,92,166,204,237],"Rust":[26,68,86,94,101,172],"promising":[28],"approach":[29,221],"enhance":[31],"their":[32],"reliability.":[33],"Since":[34],"manual":[35],"code":[36],"translation":[37],"is":[38,41,108],"time-consuming,":[39],"it":[40],"desirable":[42],"automate":[44],"the":[45,51,55,71,136,140,219,238],"translation.":[46],"To":[47,143,187],"yield":[48],"satisfactory":[49],"results,":[50],"translator":[52],"should":[53,130],"have":[54],"ability":[56],"perform":[58],"type":[59,104,112,121,126,185,210,234],"migration":[60,113],",":[61],"i.e.,":[62],"removing":[63],"introducing":[67],"in":[70,226,233],"code.":[72],"In":[73],"this":[74],"work,":[75],"we":[76,147,191],"aim":[77],"automatically":[79],"port":[80],"an":[81],"entire":[82],"program":[84,157],"by":[87],"each":[89,168],"function":[91,95,128,169],"with":[96,244],"signature":[98],"containing":[99,174],"proper":[100],"through":[103,117],"migration.":[105],"goal":[107],"challenging":[109],"because":[110],"(1)":[111,195],"cannot":[114],"be":[115,131],"achieved":[116],"syntactic":[118],"mappings":[119],"between":[120],"names,":[122],"(2)":[124,199],"after":[125],"migration,":[127],"bodies":[129],"correctly":[132],"restructured":[133],"based":[134],"on":[135],"precise":[137],"understanding":[138],"of":[139,156,184],"functions\u2019":[141],"behavior.":[142],"address":[144],"these":[145,189],"difficulties,":[146],"leverage":[148],"large":[149],"language":[150],"models":[151],"(LLMs),":[152],"which":[153],"possess":[154],"knowledge":[155],"semantics":[158],"idioms.":[161],"However,":[162],"na\u00efvely":[163],"instructing":[164],"LLMs":[165],"translate":[167],"produces":[170],"unsatisfactory":[171],"code,":[173],"unmigrated":[175],"or":[176],"improperly":[177],"migrated":[178,227],"huge":[182],"number":[183],"errors.":[186],"resolve":[188],"issues,":[190],"propose":[192],"three":[193],"techniques:":[194],"generating":[196],"candidate":[197],"signatures,":[198],"providing":[200],"translated":[201],"callees\u2019":[202],"signatures":[203],"LLMs,":[205],"(3)":[207],"iteratively":[208],"fixing":[209],"errors":[211,235],"using":[212],"compiler":[213],"feedback.":[214],"Our":[215],"evaluation":[216],"shows":[217],"proposed":[220],"yields":[222],"63.5%":[224],"increase":[225],"71.5%":[231],"decrease":[232],"compared":[236],"baseline":[239],"(the":[240],"na\u00efve":[241],"LLM-based":[242],"translation)":[243],"modest":[245],"performance":[246],"overhead.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":15}],"updated_date":"2026-07-05T07:55:05.734416","created_date":"2025-10-10T00:00:00"}