{"id":"https://openalex.org/W7084617706","doi":"https://doi.org/10.5281/zenodo.17259178","title":"Replication Package of the paper \"Large Language Models for Multilingual Code Generation: A Benchmark and a Study on Code Quality\"","display_name":"Replication Package of the paper \"Large Language Models for Multilingual Code Generation: A Benchmark and a Study on Code Quality\"","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W7084617706","doi":"https://doi.org/10.5281/zenodo.17259178"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.17259178","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17259178","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.17259178","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Midolo, Alessandro","orcid":"https://orcid.org/0000-0002-9575-8054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Midolo, Alessandro","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9575-8054","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Afrin, Saima","orcid":"https://orcid.org/0009-0008-4106-6838"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Afrin, Saima","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0008-4106-6838","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Escobar-Vel\u00e1squez, Camilo","orcid":"https://orcid.org/0000-0001-8414-9301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Escobar-Vel\u00e1squez, Camilo","raw_affiliation_strings":["Universidad de Los Andes"],"raw_orcid":"https://orcid.org/0000-0001-8414-9301","affiliations":[{"raw_affiliation_string":"Universidad de Los Andes","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Linares-Vasquez, Mario","orcid":"https://orcid.org/0000-0003-0161-2888"},"institutions":[{"id":"https://openalex.org/I4210143738","display_name":"Universidad de Los Andes","ror":"https://ror.org/04pqpvr75","country_code":"BO","type":"education","lineage":["https://openalex.org/I4210143738"]}],"countries":["BO"],"is_corresponding":false,"raw_author_name":"Linares-Vasquez, Mario","raw_affiliation_strings":["Universidad de los Andes"],"raw_orcid":"https://orcid.org/0000-0003-0161-2888","affiliations":[{"raw_affiliation_string":"Universidad de los Andes","institution_ids":["https://openalex.org/I4210143738"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weiyuan, Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiyuan, Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Xu, Bowen","orcid":"https://orcid.org/0000-0002-1006-8493"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xu, Bowen","raw_affiliation_strings":["North Carolina State University"],"raw_orcid":"https://orcid.org/0000-0002-1006-8493","affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Di Penta, Massimiliano","orcid":"https://orcid.org/0000-0002-0340-9747"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Di Penta, Massimiliano","raw_affiliation_strings":["University of Sannio"],"raw_orcid":"https://orcid.org/0000-0002-0340-9747","affiliations":[{"raw_affiliation_string":"University of Sannio","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mastropaolo, Antonio","orcid":"https://orcid.org/0000-0002-7965-7712"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mastropaolo, Antonio","raw_affiliation_strings":["William & Mary"],"raw_orcid":"https://orcid.org/0000-0002-7965-7712","affiliations":[{"raw_affiliation_string":"William & Mary","institution_ids":["https://openalex.org/I16285277"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12943","display_name":"COVID-19 Digital Contact Tracing","score":0.26899999380111694,"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/T12943","display_name":"COVID-19 Digital Contact Tracing","score":0.26899999380111694,"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/T10912","display_name":"Telemedicine and Telehealth Implementation","score":0.10740000009536743,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13945","display_name":"Legal, Health, Environmental and COVID-19 Challenges","score":0.0997999981045723,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7304999828338623},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6362000107765198},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.555400013923645},{"id":"https://openalex.org/keywords/redundant-code","display_name":"Redundant code","score":0.5020999908447266},{"id":"https://openalex.org/keywords/compiled-language","display_name":"Compiled language","score":0.4390000104904175},{"id":"https://openalex.org/keywords/software-quality","display_name":"Software quality","score":0.4262999892234802},{"id":"https://openalex.org/keywords/low-level-programming-language","display_name":"Low-level programming language","score":0.4142000079154968},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4083999991416931},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.3955000042915344},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8549000024795532},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7304999828338623},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.7240999937057495},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6362000107765198},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.555400013923645},{"id":"https://openalex.org/C151578736","wikidata":"https://www.wikidata.org/wiki/Q1251793","display_name":"Redundant code","level":4,"score":0.5020999908447266},{"id":"https://openalex.org/C92966194","wikidata":"https://www.wikidata.org/wiki/Q651794","display_name":"Compiled language","level":4,"score":0.4390000104904175},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.4262999892234802},{"id":"https://openalex.org/C124577441","wikidata":"https://www.wikidata.org/wiki/Q558937","display_name":"Low-level programming language","level":5,"score":0.4142000079154968},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4083999991416931},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.3955000042915344},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3853999972343445},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C121957198","wikidata":"https://www.wikidata.org/wiki/Q14365593","display_name":"KPI-driven code analysis","level":5,"score":0.38429999351501465},{"id":"https://openalex.org/C154526789","wikidata":"https://www.wikidata.org/wiki/Q157965","display_name":"Object code","level":4,"score":0.38370001316070557},{"id":"https://openalex.org/C544833334","wikidata":"https://www.wikidata.org/wiki/Q2005","display_name":"JavaScript","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C48859967","wikidata":"https://www.wikidata.org/wiki/Q6486712","display_name":"Language construct","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C32977378","wikidata":"https://www.wikidata.org/wiki/Q604737","display_name":"Data control language","level":5,"score":0.34150001406669617},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C56288433","wikidata":"https://www.wikidata.org/wiki/Q58673","display_name":"Data manipulation language","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C15077461","wikidata":"https://www.wikidata.org/wiki/Q7248507","display_name":"Programming language specification","level":5,"score":0.295199990272522},{"id":"https://openalex.org/C201997060","wikidata":"https://www.wikidata.org/wiki/Q4117406","display_name":"Programming language implementation","level":5,"score":0.29100000858306885},{"id":"https://openalex.org/C53942775","wikidata":"https://www.wikidata.org/wiki/Q1211721","display_name":"Code coverage","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C201677973","wikidata":"https://www.wikidata.org/wiki/Q1209840","display_name":"Specification language","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C47434764","wikidata":"https://www.wikidata.org/wiki/Q1770035","display_name":"Dead code","level":5,"score":0.2721000015735626},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C70992990","wikidata":"https://www.wikidata.org/wiki/Q1681587","display_name":"Systematic code","level":4,"score":0.2678000032901764},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.17259178","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17259178","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.17259178","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17259178","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.515885591506958,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0,22],"Language":[1,23],"Models":[2,24],"for":[3,56,112,116,155,184,259,297,391,441,488,498,510,524,540,547,578,584,590,598,622,804,843,876,884,898,968,1118,1131,1167,1211,1236,1283,1335,1352,1370,1401,1412,1418,1424,1471,1480],"Multilingual":[4],"Code":[5,13],"Generation:":[6],"A":[7,355,424,529],"Benchmark":[8],"and":[9,105,114,118,129,152,178,193,197,208,213,233,247,262,307,372,395,445,485,491,628,649,668,700,728,752,777,802,807,822,835,861,909,929,960,971,987,990,1012,1051,1076,1094,1107,1116,1133,1153,1161,1187,1204,1227,1260,1274,1294,1303,1322,1327,1341,1355,1374,1394,1406,1421,1427,1440,1465],"a":[10,43,274,725,743,785,934,965,978,985,1081,1135,1164,1175,1193,1224,1233,1243,1248,1266,1306,1433,1438,1449,1462],"Study":[11],"on":[12,52,67,91,189,819,853,872,997],"Quality":[14],"Abstract":[15],"Having":[16],"been":[17,73],"trained":[18],"in":[19,35,77,88,139,173,211,242,276,323,433,452,517,563,614,632,703,756,826,840,894,964,1007,1027,1048,1080,1163,1223,1305],"the":[20,53,57,62,82,85,89,92,95,133,156,166,182,190,199,214,219,239,243,255,277,285,288,321,324,351,360,364,375,379,384,388,403,409,414,430,434,442,446,449,453,460,468,471,477,481,496,499,507,511,525,532,548,554,561,564,572,599,605,612,615,633,640,644,653,657,678,681,685,689,695,701,732,739,769,775,820,824,831,837,873,904,916,946,952,962,981,992,998,1004,1010,1018,1033,1059,1065,1069,1078,1095,1139,1143,1184,1189,1208,1215,1219,1228,1257,1262,1296,1314,1343,1364,1378,1384,1396,1402,1409,1444,1455,1459,1477],"wild,":[21],"(LLMs)":[25],"may":[26],"suffer":[27],"from":[28,165,378,652,813,1458],"different":[29,185,805,858,927,1371],"types":[30],"of":[31,64,84,94,141,175,206,287,311,320,350,357,448,470,480,560,611,646,656,788,906,942,1061,1097,1316,1366],"bias.":[32],"As":[33],"shown":[34,516],"previous":[36],"studies":[37],"outside":[38],"software":[39],"engineering,":[40],"this":[41,78],"includes":[42,1086],"language":[44,54,65,86,153,192,215,394,576,582,588,970],"bias,":[45],"i.e.,":[46],"these":[47],"models":[48,799,928,1356],"perform":[49,773],"differently":[50],"depending":[51,188,871],"used":[55,154,216,241,258,523,534,577,583,589,621,676,771],"query/prompt.":[58],"However,":[59],"so":[60],"far":[61],"impact":[63],"bias":[66],"source":[68,96,162],"code":[69,97,137,144,163,201,260,376,385,411,432,569,623,745,795,817,839,851,855,924,949,954,994,1006,1035,1182,1191,1212,1220,1241,1255,1264,1284,1293,1450,1457,1479],"generation":[70,261,796,1216],"has":[71,553,604],"not":[72,170],"thoroughly":[74],"investigated.":[75],"Therefore,":[76],"paper,":[79],"we":[80,135],"study":[81],"influence":[83],"adopted":[87],"prompt":[90,620,675,707,1442],"quality":[93,138,179,183],"generated":[98,147,164,200,343,377,386,410,419,431,570,838,854,925,943,993,1190,1263,1388],"by":[99,148,344,387,413,420,571,731,926,1159],"three":[100,389,881],"LLMs,":[101],"specifically":[102],"GPT,":[103],"Claude,":[104],"DeepSeek.":[106],"We":[107],"consider":[108],"230":[109,115],"coding":[110],"tasks":[111],"Python":[113,256,306,719,744,1129,1254,1292],"Java,":[117,885],"translate":[119],"their":[120],"related":[121],"prompts":[122,246,296,665,693,812,1277],"into":[123,228,671,1054],"four":[124],"languages:":[125],"Chinese,":[126],"Hindi,":[127],"Spanish,":[128],"Italian.":[130,672,704,757],"After":[131],"generating":[132],"code,":[134,944],"measure":[136],"terms":[140,174],"passed":[142,176],"tests,":[143],"metrics,":[145,180],"warnings":[146],"static":[149,421,482,850,1318],"analysis":[150,278,422,483,852,917,1046,1074,1319,1369,1385,1403,1426],"tools,":[151],"identifiers.":[157,585],"Results":[158],"indicate":[159],"that":[160,715,913,1110,1246,1391,1436],"(i)":[161],"English":[167,212,330],"queries":[168],"is":[169,226,302,314,369,677,888,958,1217,1221,1230,1350],"necessarily":[171],"better":[172,1472],"test":[177,486],"(ii)":[181],"languages":[186,490,1304,1354,1373,1420],"varies":[187],"programming":[191,393,806,862,874,1000,1372],"LLM":[194],"being":[195],"used,":[196],"(iii)":[198],"tend":[202],"to":[203,217,273,283,363,459,535,747,772,980,1009,1072,1127,1192,1207,1232,1265,1332,1390,1398,1404,1443,1447],"contain":[204,374,664],"mixes":[205],"comments":[207],"literals":[209,650],"written":[210],"formulate":[218],"prompt.":[220,331,381],"Replication":[221],"Package":[222],"This":[223,367,637,792,847,920,975,1042,1240,1311,1361,1430,1484],"replication":[224],"package":[225],"organized":[227],"two":[229],"main":[230],"directories:":[231],"data":[232,240,266],"scripts.":[234],"The":[235,250,265,309,318,328,333,337,341,347,406,464,502,558,568,575,581,587,609,619,673,705,764,890,901,1084,1100,1122,1155,1171,1348,1415,1474],"datadirectory":[236],"contains":[237,253,268,402,505,767],"all":[238,254,476,489,506,545,643,768,774,880,1276],"analysis,":[244,513,1337],"including":[245],"final":[248],"results.":[249,1140],"scripts":[251,257,765,770],"directory":[252,267,455,466,503,766],"analysis.":[263,501,542,550,635,778],"Data":[264],"five":[269],"subdirectories,":[270],"each":[271,298,312,392,789,844,899,969,1119,1199,1287,1413],"corresponding":[272,435],"stage":[275],"pipeline.":[279],"These":[280,493],"are":[281,456,495,515,712,781,892,1113,1157,1278],"enumerated":[282],"reflect":[284],"order":[286],"process:":[289],"prompt_translation:":[290],"Contains":[291,383,438,475,521,544,596],"files":[292,407,440,494,522,546,597,655,780,842,856,1063,1130,1389],"with":[293,304,408,662,666,688,694,718,1298,1468],"manually":[294],"translated":[295,380,670],"language.":[299,397,1001],"Each":[300,398,551,602],"file":[301,313,426,530,552,603,638,967,1071,1090,1160,1166,1177,1235,1250],"associated":[303,1299],"both":[305],"Java.":[308],"structure":[310],"as":[315,631,680,709,1089,1149],"follows:":[316,710],"id:":[317,557,608],"ID":[319,559,610],"query":[322,415,562,613],"CoderEval":[325,461,565,616],"benchmark.":[326,566,617],"prompt:":[327,618],"original":[329,334,338,696],"summary:":[332],"summary.":[335],"code:":[336],"code.":[339,720],"translation:":[340],"translation":[342],"GPT.":[345],"correction:":[346],"manual":[348,541],"correction":[349],"GPT-generated":[352],"translation.":[353,365],"correction_tag:":[354],"list":[356],"tags":[358],"indicating":[359],"corrections":[361],"made":[362],"generated_code:":[366,567],"column":[368],"initially":[370],"empty":[371],"will":[373,722],"generation:":[382],"LLMs":[390],"natural":[396,808],"subdirectory":[399],"(e.g.,":[400,427],"java_chinese_claude)":[401],"following:":[404],"files:":[405,543],"(named":[412],"ID).":[416],"report:":[417],"Reports":[418],"tools.":[423],"CSV":[425,814,1055,1082,1136,1165],"java_chinese_claude.csv)":[428],"containing":[429,531,642,1064,1178,1251],"column.":[436],"tests:":[437],"input":[439],"testing":[443,472],"process":[444,1315,1349,1416],"results":[447,465,825,891,963],"tests.":[450],"Files":[451,660,687],"input_files":[454],"formatted":[457],"according":[458],"benchmark":[462],"requirements.":[463],"holds":[467],"output":[469,487,508,1085,1229],"process.":[473,918],"quantitative_analysis:":[474],"csv":[478,654],"reports":[479,1047,1112],"tools":[484],"models.":[492,1375],"inputs":[497],"statistical":[500,512],"stats":[504],"tables":[509],"which":[514],"paper's":[518],"tables.":[519],"qualitative_analysis:":[520],"qualitative":[526,549,634],"analysis:":[527],"CohenKappaagreement.csv:":[528],"subset":[533],"compute":[536],"Cohen's":[537],"kappa":[538],"metrics":[539],"following":[555,606,1379],"columns:":[556,607],"model.":[573],"comments:":[574],"comments.":[579],"identifiers:":[580],"literals:":[586,629],"literals.":[591],"notes:":[592],"Additional":[593],"notes.":[594],"ablation_study:":[595],"ablation":[600,658],"study.":[601,659],"generation.":[624,1213,1285],"generated_code,":[625],"comments,":[626,647],"identifiers,":[627],"Same":[630],"results.pdf:":[636],"shows":[639],"table":[641],"percentages":[645],"identifiers":[648,753],"extracted":[651,1005,1034,1478],"prefixed":[661],"italian":[663],"signatures":[667],"docstrings":[669],"system":[674,706,986,1439],"same":[679],"initial":[682],"one":[683],"(see":[684],"paper).":[686],"english":[690],"prefix":[691],"have":[692],"signature":[697,727],"(in":[698],"English)":[699],"docstring":[702,730],"differs":[708],"You":[711,721],"an":[713,1024],"AI":[714,798],"only":[716,886],"responds":[717],"be":[723,755],"given":[724],"function":[726,740,976,1124,1173,1244,1434,1464,1475],"its":[729],"user.":[733],"Write":[734],"your":[735,749],"full":[736,953],"implementation":[737],"(restate":[738],"signature).":[741],"Use":[742],"block":[746],"write":[748],"response.":[750],"Comments":[751],"must":[754],"For":[758,1286],"example:":[759],"```python":[760],"print(\"Hello":[761],"World!\")":[762],"Scripts":[763],"generations":[776],"All":[779],"properly":[782,1114],"commented.":[783],"Here":[784],"brief":[786],"description":[787],"file:":[790],"code_generation.py:":[791],"script":[793,848,902,921,1043,1101,1312,1362,1431],"automates":[794,1313,1363],"using":[797,857,933,1183,1256,1320,1461],"(GPT,":[800],"DeepSeek,":[801],"Claude)":[803],"languages.":[809,863],"It":[810,829,864,937,1002,1057,1141,1197,1270,1324,1376,1452],"reads":[811],"files,":[815,1329],"generates":[816,1134,1180,1253,1291],"based":[818,996],"prompts,":[821,1179,1252,1302],"saves":[823,1077,1188,1261],"structured":[827,1225],"directories.":[828],"logs":[830],"process,":[832],"handles":[833,910,1271,1325],"errors,":[834],"stores":[836,961,1295],"separate":[841],"iteration.":[845,900,1414],"computeallanalysis.py:":[846],"performs":[849,1377],"models,":[859,1106,1422],"languages,":[860,930,1105],"runs":[865,879,1125],"various":[866],"analyses":[867],"(Flake8,":[868],"Pylint,":[869],"Lizard)":[870],"language:":[875],"Python,":[877],"it":[878,1022,1031,1038,1206,1290,1381,1467],"analyses,":[882],"while":[883],"Lizard":[887],"executed.":[889],"stored":[893,1222],"dedicated":[895],"report":[896,1137,1411],"directories":[897,908],"ensures":[903,1201,1275],"creation":[905],"necessary":[907],"any":[911,1014],"errors":[912,1015,1132,1156],"occur":[914,1016],"during":[915,1017],"createtestjava.py:":[919],"processes":[922,1044,1142,1174,1247],"Java":[923,1181],"extracting":[931,1145],"methods":[932],"JavaParser":[935],"server.":[936],"iterates":[938,1102],"through":[939,1103],"multiple":[940,1104,1353,1419],"iterations":[941],"extracts":[945,991,1058,1338,1408,1454],"relevant":[947,1456],"method":[948,957],"(or":[950],"uses":[951],"if":[955,1013],"no":[956],"found),":[959],"JSONL":[966],"model":[972,1446],"combination.":[973,1120],"deepseek_model.py:":[974],"sends":[977,1205,1437],"request":[979,1019],"DeepSeek":[982],"API,":[983,1186,1259],"passing":[984],"user":[988,1441],"prompt,":[989,1200,1289],"snippet":[995],"specified":[999],"prints":[1003,1023,1466],"blue":[1008],"console,":[1011],"or":[1020],"extraction,":[1021],"error":[1025,1146,1151],"message":[1026],"red.":[1028],"If":[1029,1214],"successful,":[1030,1218],"returns":[1032,1039,1476],"snippet;":[1036],"otherwise,":[1037],"None.":[1040],"extractpmdreport.py:":[1041],"PMD":[1045,1066,1111,1345],"SARIF":[1049,1070,1346],"format":[1050],"converts":[1052],"them":[1053,1282],"files.":[1056],"contents":[1060],"ZIP":[1062],"reports,":[1067,1340],"parses":[1068],"gather":[1073],"results,":[1075],"findings":[1079],"file.":[1083,1196,1269,1309],"details":[1087,1147],"such":[1088,1148],"names,":[1091],"rules,":[1092],"messages,":[1093],"count":[1096],"issues":[1098],"found.":[1099],"iterations,":[1108],"ensuring":[1109],"processed":[1115],"saved":[1117,1162,1231],"flake_analysis.py:":[1121],"flake_analysis":[1123],"Flake8":[1126],"analyze":[1128],"summarizing":[1138],"output,":[1144],"filenames,":[1150],"codes,":[1152],"messages.":[1154],"grouped":[1158],"easy":[1168],"review.":[1169],"generatepredictionclaude_java.py:":[1170],"generatecodefrom_prompt":[1172,1245],"JSON":[1176,1195,1234,1249,1268,1308],"Claude":[1185,1209,1258],"new":[1194,1267,1307],"validates":[1198],"it's":[1202],"JSON-serializable,":[1203],"API":[1210],"format,":[1226],"further":[1237,1481],"use.":[1238,1482],"generatepredictionclaude_python.py:":[1239],"defines":[1242,1432],"invalid":[1272],"values":[1273],"JSON-serializable":[1279],"before":[1280],"sending":[1281],"valid":[1288],"result":[1297],"task":[1300],"IDs,":[1301],"gitactionjava.py:":[1310],"performing":[1317],"SonarCloud":[1321,1336,1339,1368,1410],"PMD.":[1323],"cleaning":[1326],"copying":[1328],"commits":[1330,1393],"changes":[1331,1397],"GitHub,":[1333,1399],"waits":[1334,1400],"downloads":[1342],"latest":[1344],"report.":[1347],"repeated":[1351],"across":[1357],"several":[1358],"iterations.":[1359],"gitactionpython.py:":[1360],"workflow":[1365],"running":[1367],"steps:":[1380],"cleans":[1382],"up":[1383],"directory,":[1386,1392],"copies":[1387],"pushes":[1395],"complete,":[1405],"then":[1407,1453],"repeats":[1417],"allowing":[1423],"systematic":[1425],"reporting.":[1428],"gpt_mode.py:":[1429],"ask_Gpt()":[1435],"GPT-4":[1445],"generate":[1448],"snippet.":[1451],"response":[1460],"helper":[1463],"color":[1469],"formatting":[1470],"visibility.":[1473],"javaparser.py:":[1483]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}