{"id":"https://openalex.org/W4386366383","doi":"https://doi.org/10.18293/seke2023-068","title":"GSAGE2defect: An Improved Approach to Software Defect Prediction based on Inductive Graph Neural Network","display_name":"GSAGE2defect: An Improved Approach to Software Defect Prediction based on Inductive Graph Neural Network","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386366383","doi":"https://doi.org/10.18293/seke2023-068"},"language":"en","primary_location":{"id":"doi:10.18293/seke2023-068","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2023-068","pdf_url":"https://doi.org/10.18293/seke2023-068","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2023-068","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102500304","display_name":"Ju Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Ma","raw_affiliation_strings":["School of Cyber Science and Technology Hubei University Wuhan, China","School of Computer Science and","Information Engineering Hubei University Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology Hubei University Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"School of Computer Science and","institution_ids":[]},{"raw_affiliation_string":"Information Engineering Hubei University Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102002226","display_name":"Yiyang Sun","orcid":"https://orcid.org/0009-0003-8453-3436"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Yang Sun","raw_affiliation_strings":["School of Computer Science and","School of Cyber Science and Technology Hubei University Wuhan, China","Information Engineering Hubei University Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and","institution_ids":[]},{"raw_affiliation_string":"School of Cyber Science and Technology Hubei University Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Information Engineering Hubei University Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111033590","display_name":"Peng He","orcid":"https://orcid.org/0009-0007-5846-7956"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng He","raw_affiliation_strings":["Information Engineering Hubei University Wuhan, China","School of Computer Science and","School of Cyber Science and Technology Hubei University Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering Hubei University Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"School of Computer Science and","institution_ids":[]},{"raw_affiliation_string":"School of Cyber Science and Technology Hubei University Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101240054","display_name":"Zhang-Fan Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang-Fan Zeng","raw_affiliation_strings":["School of Cyber Science and Technology Hubei University Wuhan, China","School of Computer Science and","Information Engineering Hubei University Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology Hubei University Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"School of Computer Science and","institution_ids":[]},{"raw_affiliation_string":"Information Engineering Hubei University Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75900474"],"apc_list":null,"apc_paid":null,"fwci":1.2331,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84251506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2023","issue":null,"first_page":"45","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983999729156494,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9911999702453613,"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":0.764551043510437},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6358639001846313},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.601060152053833},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.59462571144104},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5722734332084656},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5547842383384705},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5488031506538391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5410434603691101},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5015809535980225},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.48744848370552063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44260498881340027},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4245312809944153},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08424851298332214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.764551043510437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6358639001846313},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.601060152053833},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.59462571144104},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5722734332084656},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5547842383384705},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5488031506538391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5410434603691101},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5015809535980225},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.48744848370552063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44260498881340027},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4245312809944153},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08424851298332214}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2023-068","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2023-068","pdf_url":"https://doi.org/10.18293/seke2023-068","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2023-068","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2023-068","pdf_url":"https://doi.org/10.18293/seke2023-068","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G256562790","display_name":null,"funder_award_id":"2021BAA184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3228004677","display_name":null,"funder_award_id":"61977021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3721195576","display_name":null,"funder_award_id":"2021BAA188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5765777470","display_name":null,"funder_award_id":"61902114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6134627929","display_name":null,"funder_award_id":"61832014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386366383.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1902482618","https://openalex.org/W1981276685","https://openalex.org/W1993220166","https://openalex.org/W2132791018","https://openalex.org/W2154851992","https://openalex.org/W2393319904","https://openalex.org/W2610153490","https://openalex.org/W2737925311","https://openalex.org/W2743316948","https://openalex.org/W2888348590","https://openalex.org/W2898435572","https://openalex.org/W2955224058","https://openalex.org/W2963964898","https://openalex.org/W2964205113","https://openalex.org/W3100848837","https://openalex.org/W3101444938","https://openalex.org/W4200053119","https://openalex.org/W4211259380","https://openalex.org/W4293764002","https://openalex.org/W4294558607","https://openalex.org/W4297571622","https://openalex.org/W4297733535","https://openalex.org/W6602452458","https://openalex.org/W6610447287","https://openalex.org/W6633728996"],"related_works":["https://openalex.org/W2327631927","https://openalex.org/W2093568763","https://openalex.org/W1985166372","https://openalex.org/W2003096546","https://openalex.org/W2430210575","https://openalex.org/W4289354592","https://openalex.org/W2099112646","https://openalex.org/W2165069859","https://openalex.org/W2112258778","https://openalex.org/W2626477053"],"abstract_inverted_index":{"Graph":[0],"neural":[1,20,35,93],"network":[2,36,75,109,155],"is":[3,43,46],"an":[4,90,97,178],"effective":[5],"deep":[6],"learning":[7,10,119],"framework":[8],"for":[9,117,158],"graph":[11,19,34,92],"data.Existing":[12],"research":[13,42],"has":[14,29],"introduced":[15],"different":[16],"variants":[17],"of":[18,25,60,81,110,126,144,181,187],"networks":[21],"into":[22],"the":[23,33,40,56,61,65,77,106,111,123,127,131,142,147,153,165],"field":[24],"software":[26,68,74,137],"defects":[27],"and":[28,53,58,79,113,173],"achieved":[30],"promising":[31],"results.However,":[32],"model":[37],"based":[38,168],"on":[39,89,169],"previous":[41],"essentially":[44],"transductive,":[45],"applied":[47],"to":[48,120,140,156],"a":[49,159],"single":[50],"fixed":[51],"graph,":[52],"often":[54],"ignores":[55],"direction":[57,78],"weight":[59,80],"edges":[62,82],"when":[63],"modeling":[64],"network.In":[66],"practice,":[67],"systems":[69],"are":[70,83,86],"dynamically":[71],"evolving.Furthermore,":[72],"in":[73,146,185],"modeling,":[76],"factors":[84],"that":[85,175],"worth":[87],"considering.Based":[88],"inductive":[91],"network,":[94],"we":[95,129,151,163],"proposed":[96,166],"improved":[98],"defect":[99],"prediction":[100],"method":[101,167],"named":[102],"GSAGE2defect.We":[103],"first":[104],"constructed":[105],"class":[107,148,161],"dependency":[108,149,154],"program":[112],"then":[114],"used":[115],"node2vec":[116],"embedding":[118],"automatically":[121],"obtain":[122],"structural":[124,133],"features":[125,134,139],"network.Then":[128],"combined":[130],"learned":[132],"with":[135],"traditional":[136],"code":[138],"initialize":[141],"properties":[143],"nodes":[145],"network.Next,":[150],"fed":[152],"GraphSAGE":[157],"deeper":[160],"representation.Finally,":[162],"evaluated":[164],"eight":[170],"open-source":[171],"programs":[172],"demonstrated":[174],"GSAGE2defect":[176],"achieves":[177],"average":[179],"improvement":[180],"2.09%-26.69%over":[182],"state-of-the-art":[183],"methods":[184],"terms":[186],"F-measure.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
