{"id":"https://openalex.org/W4403536544","doi":"https://doi.org/10.1145/3691620.3695068","title":"Three Heads Are Better Than One: Suggesting Move Method Refactoring Opportunities with Inter-class Code Entity Dependency Enhanced Hybrid Hypergraph Neural Network","display_name":"Three Heads Are Better Than One: Suggesting Move Method Refactoring Opportunities with Inter-class Code Entity Dependency Enhanced Hybrid Hypergraph Neural Network","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4403536544","doi":"https://doi.org/10.1145/3691620.3695068"},"language":"en","primary_location":{"id":"doi:10.1145/3691620.3695068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691620.3695068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003445196","display_name":"Di Cui","orcid":"https://orcid.org/0000-0003-2859-9003"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Cui","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2859-9003","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003298829","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0009-0005-0361-538X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Wang","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0005-0361-538X","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003756905","display_name":"Qiangqiang Wang","orcid":"https://orcid.org/0000-0001-6573-5022"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Wang","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6573-5022","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002853772","display_name":"Panxin Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ji","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0004-0394-3474","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060267883","display_name":"Minglang Qiao","orcid":"https://orcid.org/0000-0002-9591-2568"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minglang Qiao","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0009-7548-8390","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085131436","display_name":"Yutong Zhao","orcid":"https://orcid.org/0000-0002-9307-5532"},"institutions":[{"id":"https://openalex.org/I28324025","display_name":"University of Central Missouri","ror":"https://ror.org/02c63wv67","country_code":"US","type":"education","lineage":["https://openalex.org/I28324025"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yutong Zhao","raw_affiliation_strings":["University of Central Missouri, State of Missouri, USA"],"raw_orcid":"https://orcid.org/0000-0002-9307-5532","affiliations":[{"raw_affiliation_string":"University of Central Missouri, State of Missouri, USA","institution_ids":["https://openalex.org/I28324025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052197725","display_name":"Jingzhao Hu","orcid":"https://orcid.org/0000-0001-9103-8618"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzhao Hu","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9103-8618","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039096783","display_name":"Luqiao Wang","orcid":"https://orcid.org/0009-0004-0379-689X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luqiao Wang","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0004-0379-689X","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404954","display_name":"Qingshan Li","orcid":"https://orcid.org/0000-0001-8692-5132"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingshan Li","raw_affiliation_strings":["Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8692-5132","affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"745","last_page":"757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9919000267982483,"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/code-refactoring","display_name":"Code refactoring","score":0.9189708232879639},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8777027130126953},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.8099502325057983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719866156578064},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6675052642822266},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5570288896560669},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5554013252258301},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4283917248249054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42452847957611084},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4150301218032837},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3336787819862366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14779585599899292},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.14019331336021423},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09501892328262329}],"concepts":[{"id":"https://openalex.org/C152752567","wikidata":"https://www.wikidata.org/wiki/Q116877","display_name":"Code refactoring","level":3,"score":0.9189708232879639},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8777027130126953},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.8099502325057983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719866156578064},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6675052642822266},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5570288896560669},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5554013252258301},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4283917248249054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42452847957611084},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4150301218032837},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3336787819862366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14779585599899292},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.14019331336021423},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09501892328262329},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3691620.3695068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691620.3695068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1902482618","https://openalex.org/W2000679946","https://openalex.org/W2089910927","https://openalex.org/W2115685157","https://openalex.org/W2145700761","https://openalex.org/W2432453387","https://openalex.org/W2465318792","https://openalex.org/W2597601979","https://openalex.org/W2772093803","https://openalex.org/W2788306232","https://openalex.org/W2892880750","https://openalex.org/W2954933423","https://openalex.org/W2964150020","https://openalex.org/W2969368867","https://openalex.org/W3022049116","https://openalex.org/W3034942609","https://openalex.org/W3083752221","https://openalex.org/W3088384753","https://openalex.org/W3098281910","https://openalex.org/W3098605233","https://openalex.org/W3102742699","https://openalex.org/W4238993245","https://openalex.org/W4282926996","https://openalex.org/W4285490465","https://openalex.org/W4300007223","https://openalex.org/W4312206126","https://openalex.org/W4384159022","https://openalex.org/W4389161905","https://openalex.org/W4391558516","https://openalex.org/W4391558635"],"related_works":["https://openalex.org/W4313549863","https://openalex.org/W2072205733","https://openalex.org/W2052246872","https://openalex.org/W2395465245","https://openalex.org/W2101762871","https://openalex.org/W3176957927","https://openalex.org/W4296534969","https://openalex.org/W4312761314","https://openalex.org/W2476494490","https://openalex.org/W2056396287"],"abstract_inverted_index":{"Methods":[0],"implemented":[1],"in":[2,119,252,255,259],"incorrect":[3],"classes":[4,11,56,79,101],"will":[5],"cause":[6],"excessive":[7],"reliance":[8],"on":[9,232,239],"other":[10],"than":[12],"their":[13],"own,":[14],"known":[15],"as":[16],"a":[17,46,166,195,206,219,225,233],"typical":[18],"code":[19,111,148,159,182,197],"smell":[20],"symptom:":[21],"feature":[22,287],"envy,":[23],"which":[24,267],"makes":[25],"it":[26,238],"difficult":[27],"to":[28,52,57,71,87,127,152,170,192,262],"maintain":[29],"increased":[30],"coupling":[31],"between":[32,74,98],"classes.":[33],"Addressing":[34],"this":[35,139,214],"issue,":[36],"several":[37],"Move":[38,172],"Method":[39,173],"refactoring":[40,89,128,174,226,265,289],"tools":[41,66],"have":[42],"been":[43],"proposed,":[44],"employing":[45],"two-phase":[47],"process:":[48],"identifying":[49],"misplaced":[50],"methods":[51,76,99],"move":[53],"and":[54,59,77,80,100,106,164,189,236,257,281],"appropriate":[55],"receive,":[58],"implementing":[60],"the":[61,104,144,200],"mechanics":[62],"of":[63,146,250,273],"refactoring.":[64],"These":[65],"traditionally":[67],"use":[68],"hard-coded":[69],"metrics":[70],"measure":[72],"correlations":[73,97],"movable":[75],"target":[78],"apply":[81],"heuristic":[82],"thresholds":[83],"or":[84],"trained":[85,215,230],"classifiers":[86],"unearth":[88],"opportunities.":[90],"Yet,":[91],"these":[92,114],"approaches":[93],"predominantly":[94],"illuminate":[95],"pairwise":[96],"while":[102],"overlooking":[103],"complex":[105],"complicated":[107,154],"dependencies":[108],"binding":[109],"multiple":[110,158],"entities":[112,160,193],"within":[113,161],"methods/classes":[115,163],"that":[116,130,246,284],"are":[117,203],"prevalent":[118],"real-world":[120,241],"cases.":[121],"This":[122],"narrow":[123],"focus":[124],"can":[125],"lead":[126],"suggestions":[129,280],"may":[131],"diverge":[132],"from":[133,186],"developers'":[134],"actual":[135],"needs.":[136],"To":[137],"bridge":[138],"gap,":[140],"our":[141],"paper":[142],"leverages":[143],"concept":[145],"inter-class":[147,181],"entity":[149,183],"dependency":[150,155,184],"hypergraph":[151,167,208],"model":[153],"relationships":[156],"involving":[157],"various":[162],"proposes":[165],"learning-based":[168],"approach":[169],"suggest":[171],"opportunities":[175],"named":[176],"HMove.":[177],"We":[178,229],"first":[179],"construct":[180,224],"hypergraphs":[185,202],"training":[187],"samples":[188],"assign":[190],"attributes":[191],"with":[194],"pre-trained":[196],"model.":[198],"All":[199],"attributed":[201],"fed":[204],"into":[205],"hybrid":[207],"neural":[209,216],"network":[210,217],"for":[211,271],"training.":[212],"Utilizing":[213],"alongside":[218],"large":[220],"language":[221],"model,":[222],"we":[223],"suggestion":[227],"system.":[228],"HMove":[231],"large-scale":[234],"dataset":[235],"evaluated":[237],"two":[240],"datasets.":[242],"The":[243,275],"results":[244,276],"show":[245],"demonstrates":[247],"an":[248],"increase":[249],"27.8%":[251],"precision,":[253],"2.5%":[254],"recall,":[256],"18.5%":[258],"f1-measure":[260],"compared":[261],"9":[263],"state-of-the-art":[264],"tools,":[266],"is":[268],"more":[269],"useful":[270],"68%":[272],"participants.":[274],"also":[277],"unveil":[278],"practical":[279],"new":[282],"insights":[283],"benefit":[285],"existing":[286],"envy-related":[288],"techniques.":[290]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}