{"id":"https://openalex.org/W4297348681","doi":"https://doi.org/10.3390/e24101372","title":"Re_Trans: Combined Retrieval and Transformer Model for Source Code Summarization","display_name":"Re_Trans: Combined Retrieval and Transformer Model for Source Code Summarization","publication_year":2022,"publication_date":"2022-09-27","ids":{"openalex":"https://openalex.org/W4297348681","doi":"https://doi.org/10.3390/e24101372","pmid":"https://pubmed.ncbi.nlm.nih.gov/37420392"},"language":"en","primary_location":{"id":"doi:10.3390/e24101372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24101372","pdf_url":"https://www.mdpi.com/1099-4300/24/10/1372/pdf?version=1666745770","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/10/1372/pdf?version=1666745770","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061913488","display_name":"Chunyan Zhang","orcid":"https://orcid.org/0000-0002-8871-4272"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunyan Zhang","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China"],"raw_orcid":"https://orcid.org/0000-0002-8871-4272","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091337485","display_name":"Qinglei Zhou","orcid":"https://orcid.org/0000-0002-1156-1108"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglei Zhou","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050284353","display_name":"Meng Qiao","orcid":"https://orcid.org/0000-0002-2941-8107"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng Qiao","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042988713","display_name":"Ke Tang","orcid":"https://orcid.org/0000-0002-2043-6958"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke Tang","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080627955","display_name":"Lianqiu Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lianqiu Xu","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039627101","display_name":"Fudong Liu","orcid":"https://orcid.org/0000-0002-8387-0831"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fudong Liu","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China"],"raw_orcid":"https://orcid.org/0000-0002-8387-0831","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039627101"],"corresponding_institution_ids":[],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":2.2173,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90371678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"24","issue":"10","first_page":"1372","last_page":"1372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9990000128746033,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9990000128746033,"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/T10260","display_name":"Software Engineering Research","score":0.9979000091552734,"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":0.9966999888420105,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8280526995658875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6189293265342712},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5395618677139282},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.526802122592926},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4922982454299927},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4525276720523834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41005682945251465},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.349826842546463},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2833964228630066},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09704846143722534},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09612751007080078}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8280526995658875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6189293265342712},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5395618677139282},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.526802122592926},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4922982454299927},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4525276720523834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41005682945251465},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.349826842546463},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2833964228630066},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09704846143722534},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09612751007080078},{"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24101372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24101372","pdf_url":"https://www.mdpi.com/1099-4300/24/10/1372/pdf?version=1666745770","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:37420392","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37420392","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9601825","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9601825","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:eace90110940401397f01f3cbb23cd66","is_oa":true,"landing_page_url":"https://doaj.org/article/eace90110940401397f01f3cbb23cd66","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 10, p 1372 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/10/1372/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24101372","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 10; Pages: 1372","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24101372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24101372","pdf_url":"https://www.mdpi.com/1099-4300/24/10/1372/pdf?version=1666745770","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4297348681.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W15592790","https://openalex.org/W2032221556","https://openalex.org/W2034209539","https://openalex.org/W2081749632","https://openalex.org/W2082160726","https://openalex.org/W2101105183","https://openalex.org/W2123301721","https://openalex.org/W2133333349","https://openalex.org/W2136296681","https://openalex.org/W2163605009","https://openalex.org/W2166879716","https://openalex.org/W2257123346","https://openalex.org/W2600308295","https://openalex.org/W2807964941","https://openalex.org/W2884276923","https://openalex.org/W2888557792","https://openalex.org/W2928893288","https://openalex.org/W2949297108","https://openalex.org/W2963608065","https://openalex.org/W2964194820","https://openalex.org/W3014339000","https://openalex.org/W3034689979","https://openalex.org/W3044696186","https://openalex.org/W3080997787","https://openalex.org/W3086449553","https://openalex.org/W3091730360","https://openalex.org/W4249122235","https://openalex.org/W6682631176","https://openalex.org/W6684191040","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4317547544","https://openalex.org/W4313395829","https://openalex.org/W3081644756"],"abstract_inverted_index":{"Source":[0],"code":[1,11,33,39,96,141,155,158,194,201],"summarization":[2],"(SCS)":[3],"is":[4,63,80],"a":[5,50,84,94,101,122,127,209,223],"natural":[6],"language":[7],"description":[8],"of":[9,37,72,100,114,225,247],"source":[10,32,95,200],"functionality.":[12],"It":[13],"can":[14,53],"help":[15],"developers":[16],"understand":[17],"programs":[18],"and":[19,117,146,156,193,231,245],"maintain":[20],"software":[21],"efficiently.":[22],"Retrieval-based":[23],"methods":[24,42,116],"generate":[25,43,54,91,178,182],"SCS":[26,36,44,55,92,148,211],"by":[27],"reorganizing":[28],"terms":[29],"selected":[30],"from":[31,66],"or":[34],"use":[35,189],"similar":[38,102,140,157],"snippets.":[40],"Generative":[41],"via":[45],"attentional":[46],"encoder-decoder":[47],"architecture.":[48],"However,":[49],"generative":[51,118],"method":[52,79,135,221],"for":[56,93],"any":[57],"code,":[58,129],"but":[59,87],"sometimes":[60],"the":[61,70,98,105,112,133,153,160,164,172,177,183,199,215,237,243],"accuracy":[62],"still":[64],"far":[65],"expectation":[67],"(due":[68],"to":[69,82,90,109,136,144,181,197],"lack":[71],"numerous":[73],"high-quality":[74],"training":[75],"sets).":[76],"A":[77],"retrieval-based":[78,115,134],"considered":[81],"have":[83],"higher":[85],"accurac,":[86],"usually":[88],"fails":[89],"in":[97,104],"absence":[99],"candidate":[103],"database.":[106],"In":[107],"order":[108],"effectively":[110],"combine":[111],"advantages":[113],"methods,":[119],"we":[120,130,151,168,175,188,207],"propose":[121],"new":[123,210],"method:":[124],"Re_Trans.":[125],"For":[126],"given":[128,154,184],"first":[131],"utilize":[132,176],"obtain":[137],"its":[138],"most":[139],"with":[142],"regard":[143],"sematic":[145],"corresponding":[147],"(S_RM).":[149],"Then,":[150],"input":[152],"into":[159],"trained":[161],"discriminator.":[162],"If":[163],"discriminator":[165],"outputs":[166],"onr,":[167],"take":[169],"S_RM":[170],"as":[171],"result;":[173],"otherwise,":[174],"model,":[179],"transformer,":[180],"code'":[185],"SCS.":[186],"Particularly,":[187],"AST-augmented":[190],"(AbstractSyntax":[191],"Tree)":[192],"sequence-augmented":[195],"information":[196],"make":[198],"semantic":[202],"extraction":[203],"more":[204],"complete.":[205],"Furthermore,":[206],"build":[208],"retrieval":[212],"library":[213],"through":[214],"public":[216],"dataset.":[217],"We":[218],"evaluate":[219],"our":[220,248],"on":[222],"dataset":[224],"2.1":[226],"million":[227],"Java":[228],"code-comment":[229],"pairs,":[230],"experimental":[232],"results":[233],"show":[234],"improvement":[235],"over":[236],"state-of-the-art":[238],"(SOTA)":[239],"benchmarks,":[240],"which":[241],"demonstrates":[242],"effectiveness":[244],"efficiency":[246],"method.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}