{"id":"https://openalex.org/W3081159607","doi":"https://doi.org/10.1109/tse.2020.3020502","title":"CODIT: Code Editing With Tree-Based Neural Models","display_name":"CODIT: Code Editing With Tree-Based Neural Models","publication_year":2020,"publication_date":"2020-08-31","ids":{"openalex":"https://openalex.org/W3081159607","doi":"https://doi.org/10.1109/tse.2020.3020502","mag":"3081159607"},"language":"en","primary_location":{"id":"doi:10.1109/tse.2020.3020502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tse.2020.3020502","pdf_url":null,"source":{"id":"https://openalex.org/S8351582","display_name":"IEEE Transactions on Software Engineering","issn_l":"0098-5589","issn":["0098-5589","1939-3520","2326-3881"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Software Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.00314","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074368173","display_name":"Saikat Chakraborty","orcid":"https://orcid.org/0000-0002-6889-7171"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saikat Chakraborty","raw_affiliation_strings":["Department of Computer Science, Columbia University, New York, NY, USA","[Computer Science, Columbia University, 5798 New York, New York United States (e-mail: saikatc@cs.columbia.edu)]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science, Columbia University, 5798 New York, New York United States (e-mail: saikatc@cs.columbia.edu)]","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064527453","display_name":"Yangruibo Ding","orcid":"https://orcid.org/0000-0003-3224-6876"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yangruibo Ding","raw_affiliation_strings":["Department of Computer Science, Columbia University, New York, NY, USA","[Computer Science, Columbia University, 5798 New York, New York United States (e-mail: yangruibo.ding@columbia.edu)]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science, Columbia University, 5798 New York, New York United States (e-mail: yangruibo.ding@columbia.edu)]","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080221214","display_name":"Miltiadis Allamanis","orcid":"https://orcid.org/0000-0002-5819-9900"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miltiadis Allamanis","raw_affiliation_strings":["Microsoft Research, Cambridge, U.K","[Machine Intelligence and Perception, Microsoft Research Ltd, 10438 Cambridge, Cambridgeshire United Kingdom of Great Britain and Northern Ireland CB1 2FB (e-mail: miallama@microsoft.com)]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, U.K","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"[Machine Intelligence and Perception, Microsoft Research Ltd, 10438 Cambridge, Cambridgeshire United Kingdom of Great Britain and Northern Ireland CB1 2FB (e-mail: miallama@microsoft.com)]","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064541855","display_name":"Baishakhi Ray","orcid":"https://orcid.org/0000-0003-3406-5235"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baishakhi Ray","raw_affiliation_strings":["Department of Computer Science, Columbia University, New York, NY, USA","Computer Science, Columbia University, New York, New York, United States, (e-mail: rayb@cs.columbia.edu)"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Computer Science, Columbia University, New York, New York, United States, (e-mail: rayb@cs.columbia.edu)","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074368173"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":17.8059,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.99194361,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"48","issue":"4","first_page":"1385","last_page":"1399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"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":1.0,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9954000115394592,"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":0.8670591115951538},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.6638543605804443},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6427916288375854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.574602484703064},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5560436248779297},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5070950984954834},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4928019344806671},{"id":"https://openalex.org/keywords/abstract-syntax-tree","display_name":"Abstract syntax tree","score":0.43620896339416504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.435483455657959},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.42961445450782776},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4152792692184448},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4130946695804596},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4047629237174988},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.16199034452438354},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10868173837661743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8670591115951538},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.6638543605804443},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6427916288375854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.574602484703064},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5560436248779297},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5070950984954834},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4928019344806671},{"id":"https://openalex.org/C58646249","wikidata":"https://www.wikidata.org/wiki/Q127380","display_name":"Abstract syntax tree","level":3,"score":0.43620896339416504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.435483455657959},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.42961445450782776},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4152792692184448},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4130946695804596},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4047629237174988},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.16199034452438354},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10868173837661743},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"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/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tse.2020.3020502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tse.2020.3020502","pdf_url":null,"source":{"id":"https://openalex.org/S8351582","display_name":"IEEE Transactions on Software Engineering","issn_l":"0098-5589","issn":["0098-5589","1939-3520","2326-3881"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Software Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1810.00314","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.00314","pdf_url":"https://arxiv.org/pdf/1810.00314","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.00314","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.00314","pdf_url":"https://arxiv.org/pdf/1810.00314","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G4875445312","display_name":null,"funder_award_id":"CNS 1842456","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7531963886","display_name":null,"funder_award_id":"CCF1845893","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G853534544","display_name":null,"funder_award_id":"CCF 1822965","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":143,"referenced_works":["https://openalex.org/W1498075971","https://openalex.org/W1771830246","https://openalex.org/W1776302608","https://openalex.org/W1924770834","https://openalex.org/W1964071625","https://openalex.org/W1966439887","https://openalex.org/W1988281920","https://openalex.org/W1988346254","https://openalex.org/W1999298208","https://openalex.org/W2002089154","https://openalex.org/W2009526138","https://openalex.org/W2012010763","https://openalex.org/W2016027000","https://openalex.org/W2025791343","https://openalex.org/W2039168567","https://openalex.org/W2054855378","https://openalex.org/W2060333670","https://openalex.org/W2065489029","https://openalex.org/W2073398506","https://openalex.org/W2074032109","https://openalex.org/W2076719273","https://openalex.org/W2078030161","https://openalex.org/W2083878868","https://openalex.org/W2090111344","https://openalex.org/W2101105183","https://openalex.org/W2101723202","https://openalex.org/W2104220745","https://openalex.org/W2114334695","https://openalex.org/W2116272605","https://openalex.org/W2124479173","https://openalex.org/W2133564696","https://openalex.org/W2133961160","https://openalex.org/W2136279823","https://openalex.org/W2141558501","https://openalex.org/W2141682682","https://openalex.org/W2142403498","https://openalex.org/W2142741391","https://openalex.org/W2143051121","https://openalex.org/W2143861926","https://openalex.org/W2145124323","https://openalex.org/W2145373440","https://openalex.org/W2147506993","https://openalex.org/W2153418968","https://openalex.org/W2153881107","https://openalex.org/W2156723666","https://openalex.org/W2157836986","https://openalex.org/W2159682099","https://openalex.org/W2161052636","https://openalex.org/W2162422574","https://openalex.org/W2165747537","https://openalex.org/W2166478491","https://openalex.org/W2247864914","https://openalex.org/W2286236884","https://openalex.org/W2306852879","https://openalex.org/W2373227884","https://openalex.org/W2400994325","https://openalex.org/W2507756961","https://openalex.org/W2511803001","https://openalex.org/W2514538448","https://openalex.org/W2548627465","https://openalex.org/W2574872930","https://openalex.org/W2605202003","https://openalex.org/W2703757306","https://openalex.org/W2738591886","https://openalex.org/W2740130862","https://openalex.org/W2741049976","https://openalex.org/W2741422284","https://openalex.org/W2767766265","https://openalex.org/W2785439365","https://openalex.org/W2786865417","https://openalex.org/W2794601162","https://openalex.org/W2795030435","https://openalex.org/W2802401630","https://openalex.org/W2804660315","https://openalex.org/W2867448323","https://openalex.org/W2884276923","https://openalex.org/W2887364112","https://openalex.org/W2888312537","https://openalex.org/W2888328667","https://openalex.org/W2898951026","https://openalex.org/W2907705732","https://openalex.org/W2947167994","https://openalex.org/W2949271354","https://openalex.org/W2951732578","https://openalex.org/W2954778170","https://openalex.org/W2954823997","https://openalex.org/W2962725091","https://openalex.org/W2962809971","https://openalex.org/W2962995178","https://openalex.org/W2963212250","https://openalex.org/W2963499994","https://openalex.org/W2963617989","https://openalex.org/W2963676655","https://openalex.org/W2963935794","https://openalex.org/W2964150020","https://openalex.org/W2964308564","https://openalex.org/W2964772344","https://openalex.org/W2971008324","https://openalex.org/W2987513026","https://openalex.org/W2996248296","https://openalex.org/W3004291881","https://openalex.org/W3004886858","https://openalex.org/W3005855585","https://openalex.org/W3006080408","https://openalex.org/W3034689979","https://openalex.org/W3089183726","https://openalex.org/W3101506519","https://openalex.org/W3146720657","https://openalex.org/W3147782219","https://openalex.org/W3148057751","https://openalex.org/W4210908097","https://openalex.org/W4213053623","https://openalex.org/W4231241365","https://openalex.org/W4231933136","https://openalex.org/W4233906964","https://openalex.org/W4243227753","https://openalex.org/W4244452926","https://openalex.org/W4255398023","https://openalex.org/W4255632703","https://openalex.org/W4255750776","https://openalex.org/W4256028358","https://openalex.org/W4288080276","https://openalex.org/W4288318178","https://openalex.org/W4298090619","https://openalex.org/W4301168982","https://openalex.org/W4302339081","https://openalex.org/W6633145936","https://openalex.org/W6679434410","https://openalex.org/W6692071231","https://openalex.org/W6725533135","https://openalex.org/W6726213758","https://openalex.org/W6745034332","https://openalex.org/W6747935233","https://openalex.org/W6748247436","https://openalex.org/W6748774801","https://openalex.org/W6751531854","https://openalex.org/W6753851271","https://openalex.org/W6754601402","https://openalex.org/W6755848887","https://openalex.org/W6763934874","https://openalex.org/W6767047860","https://openalex.org/W6771644057","https://openalex.org/W6773330908"],"related_works":["https://openalex.org/W4310447811","https://openalex.org/W4389751695","https://openalex.org/W3122369893","https://openalex.org/W2165004968","https://openalex.org/W2320787857","https://openalex.org/W4389438938","https://openalex.org/W4282813445","https://openalex.org/W3086207785","https://openalex.org/W3012064729","https://openalex.org/W2969229669"],"abstract_inverted_index":{"The":[0,36],"way":[1],"developers":[2],"edit":[3],"day-to-day":[4],"code":[5,13,22,69,72,93,103,123,142,146],"tends":[6],"to":[7,19,33,89,120,139,161],"be":[8,96],"repetitive,":[9],"often":[10],"using":[11],"existing":[12],"elements.":[14],"Many":[15],"researchers":[16],"have":[17],"tried":[18],"automate":[20],"repetitive":[21],"changes":[23,70,101,143,167,192],"by":[24],"learning":[25,56,209],"from":[26,59,83,149,223],"specific":[27,77,81,219],"change":[28,147,176],"templates":[29,58],"which":[30],"are":[31],"applied":[32],"limited":[34],"scope.":[35],"advancement":[37],"of":[38,45,54,166,204,233],"deep":[39,63],"neural":[40,64,113,136,157],"networks":[41],"and":[42,71,144,183,193,210,227],"the":[43,52,60,118,121,150,163,185,202],"availability":[44],"vast":[46],"open-source":[47],"evolutionary":[48],"data":[49],"opens":[50],"up":[51],"possibility":[53],"automatically":[55],"those":[57],"wild.":[61,151],"However,":[62],"network":[65,114,137],"based":[66],"modeling":[67],"for":[68],"in":[73,102,168,208,236],"general":[74],"introduces":[75],"some":[76],"problems":[78],"that":[79],"needs":[80],"attention":[82],"research":[84],"community.":[85],"For":[86],"instance,":[87],"compared":[88],"natural":[90],"language,":[91],"source":[92,122,141],"vocabulary":[94],"can":[95,216,228],"significantly":[97],"larger.":[98],"Further,":[99],"good":[100],"do":[104],"not":[105],"break":[106],"its":[107],"syntactic":[108],"structure.":[109],"Thus,":[110],"deploying":[111],"state-of-the-art":[112],"models":[115],"without":[116],"adapting":[117],"methods":[119],"domain":[124],"yields":[125],"sub-optimal":[126],"results.":[127],"To":[128],"this":[129],"end,":[130],"we":[131,153],"propose":[132,154],"a":[133,155,175],"novel":[134],"tree-based":[135,156],"system":[138],"model":[140,160,173,186],"learn":[145,162,218],"patterns":[148],"Specifically,":[152],"machine":[158],"translation":[159],"probability":[164],"distribution":[165],"code.":[169],"We":[170],"realize":[171],"our":[172],"with":[174,187],"suggestion":[177],"engine,":[178],"<sc":[179,205,213],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[180,206,214],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Codit</small>":[181,207,215],",":[182],"train":[184],"more":[188],"than":[189],"24k":[190],"real-world":[191],"evaluate":[194],"it":[195],"on":[196],"5k":[197],"patches.":[198,212],"Our":[199],"evaluation":[200],"shows":[201],"effectiveness":[203],"suggesting":[211],"also":[217],"bug":[220,224],"fix":[221,229],"pattern":[222],"fixing":[225],"patches":[226],"25":[230],"bugs":[231,235],"out":[232],"80":[234],"Defects4J.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}