{"id":"https://openalex.org/W4414849934","doi":"https://doi.org/10.1007/s10515-025-00562-0","title":"Graph based transfer learning with orthogonal tunning for functionality size insights","display_name":"Graph based transfer learning with orthogonal tunning for functionality size insights","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W4414849934","doi":"https://doi.org/10.1007/s10515-025-00562-0"},"language":"en","primary_location":{"id":"doi:10.1007/s10515-025-00562-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10515-025-00562-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10515-025-00562-0.pdf","source":{"id":"https://openalex.org/S4210177399","display_name":"Automated Software Engineering","issn_l":"0928-8910","issn":["0928-8910","1573-7535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automated Software Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10515-025-00562-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064302239","display_name":"Nevena Rankovi\u0107","orcid":"https://orcid.org/0000-0002-9910-5886"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Nevena Rankovi\u0107","raw_affiliation_strings":["Department of Intelligent Systems, Tilburg University, Warandelaan 2, 5037AB, Tilburg, North-Brabant, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Tilburg University, Warandelaan 2, 5037AB, Tilburg, North-Brabant, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006083376","display_name":"Dragica Rankovi\u0107","orcid":"https://orcid.org/0000-0002-4464-0726"},"institutions":[{"id":"https://openalex.org/I4210105304","display_name":"Union University","ror":"https://ror.org/01p8d4t94","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210105304"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Dragica Rankovi\u0107","raw_affiliation_strings":["Department of informatics, Union University, Knez Mihajlova 5, 11000, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of informatics, Union University, Knez Mihajlova 5, 11000, Belgrade, Serbia","institution_ids":["https://openalex.org/I4210105304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036962111","display_name":"Gonzalo N\u00e1poles","orcid":"https://orcid.org/0000-0003-1936-3701"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gonzalo N\u00e1poles","raw_affiliation_strings":["Department of Intelligent Systems, Tilburg University, Warandelaan 2, 5037AB, Tilburg, North-Brabant, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Tilburg University, Warandelaan 2, 5037AB, Tilburg, North-Brabant, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048583007","display_name":"Federico Zamberl\u00e1n","orcid":null},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]},{"id":"https://openalex.org/I24354313","display_name":"Universidad de Buenos Aires","ror":"https://ror.org/0081fs513","country_code":"AR","type":"education","lineage":["https://openalex.org/I24354313"]}],"countries":["AR","NL"],"is_corresponding":false,"raw_author_name":"Federico Zamberlan","raw_affiliation_strings":["Departamento de F\u00edsica, Universidad de Buenos Aires, Intendente G\u00fciraldes 2160, C1428EGA, Buenos Aires, Argentina","Department of Intelligent Systems, Tilburg University, Warandelaan 2, 5037AB, Tilburg, North-Brabant, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de F\u00edsica, Universidad de Buenos Aires, Intendente G\u00fciraldes 2160, C1428EGA, Buenos Aires, Argentina","institution_ids":["https://openalex.org/I24354313"]},{"raw_affiliation_string":"Department of Intelligent Systems, Tilburg University, Warandelaan 2, 5037AB, Tilburg, North-Brabant, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064302239"],"corresponding_institution_ids":["https://openalex.org/I193700539"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12777215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.991599977016449,"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/function-point","display_name":"Function point","score":0.5989000201225281},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5867999792098999},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5791000127792358},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5558000206947327},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5551000237464905},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3691999912261963},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.3456999957561493},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.3409000039100647},{"id":"https://openalex.org/keywords/software-system","display_name":"Software system","score":0.32710000872612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736000180244446},{"id":"https://openalex.org/C151223460","wikidata":"https://www.wikidata.org/wiki/Q1277601","display_name":"Function point","level":4,"score":0.5989000201225281},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5867999792098999},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5791000127792358},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5457000136375427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159000158309937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41510000824928284},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34310001134872437},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3409000039100647},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.32710000872612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.32519999146461487},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C201515116","wikidata":"https://www.wikidata.org/wiki/Q7554363","display_name":"Software sizing","level":5,"score":0.3142000138759613},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.31029999256134033},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C82214349","wikidata":"https://www.wikidata.org/wiki/Q657339","display_name":"Software metric","level":5,"score":0.2847000062465668},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10515-025-00562-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10515-025-00562-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10515-025-00562-0.pdf","source":{"id":"https://openalex.org/S4210177399","display_name":"Automated Software Engineering","issn_l":"0928-8910","issn":["0928-8910","1573-7535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automated Software Engineering","raw_type":"journal-article"},{"id":"pmh:oai:tilburguniversity.edu:openaire/d53118a6-33a4-4e2a-8553-8b2076056fce","is_oa":true,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/d53118a6-33a4-4e2a-8553-8b2076056fce","pdf_url":null,"source":{"id":"https://openalex.org/S4406923027","display_name":"Tilburg University Research Portal","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rankovi\u0107, N, Rankovic, D, N\u00e1poles, G & Zamberlan, F 2025, 'Graph Based Transfer Learning with Orthogonal Tunning for Functionality Size Insights', Automated Software Engineering Journal, vol. 33, no. 13. https://doi.org/10.1007/s10515-025-00562-0","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s10515-025-00562-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10515-025-00562-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10515-025-00562-0.pdf","source":{"id":"https://openalex.org/S4210177399","display_name":"Automated Software Engineering","issn_l":"0928-8910","issn":["0928-8910","1573-7535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automated Software Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414849934.pdf","grobid_xml":"https://content.openalex.org/works/W4414849934.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1526710119","https://openalex.org/W2080525614","https://openalex.org/W3011706054","https://openalex.org/W3012072704","https://openalex.org/W3014581014","https://openalex.org/W3031687976","https://openalex.org/W3116361147","https://openalex.org/W3126778811","https://openalex.org/W3129781879","https://openalex.org/W3164393248","https://openalex.org/W3164552197","https://openalex.org/W3177185091","https://openalex.org/W3186839951","https://openalex.org/W3195238303","https://openalex.org/W3198977662","https://openalex.org/W3203195958","https://openalex.org/W3211948765","https://openalex.org/W3212445899","https://openalex.org/W3217291690","https://openalex.org/W4205378885","https://openalex.org/W4206970110","https://openalex.org/W4207082456","https://openalex.org/W4210256928","https://openalex.org/W4226036692","https://openalex.org/W4226108798","https://openalex.org/W4283029775","https://openalex.org/W4284705400","https://openalex.org/W4286610603","https://openalex.org/W4303982152","https://openalex.org/W4312569292","https://openalex.org/W4313402642","https://openalex.org/W4313597493","https://openalex.org/W4316659023","https://openalex.org/W4318618274","https://openalex.org/W4396506525","https://openalex.org/W4396722540","https://openalex.org/W4398763307","https://openalex.org/W4399529382","https://openalex.org/W4400111341","https://openalex.org/W4400429006","https://openalex.org/W4401607907","https://openalex.org/W4402572324","https://openalex.org/W4403536540","https://openalex.org/W4403601311","https://openalex.org/W4404979119","https://openalex.org/W4405167923","https://openalex.org/W4407385974"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Function":[1],"Point":[2],"Analysis":[3],"(FPA)":[4],"is":[5,182],"a":[6,19,58,66,74,190],"method":[7],"in":[8,45,94,112,210],"software":[9,20,131,139],"engineering":[10],"that":[11],"focuses":[12],"on":[13,207],"identifying":[14],"the":[15,42,82,97,106,115,146,150,159,175,178,201,208,216,220,240,245],"functions":[16,34],"provided":[17],"by":[18],"system":[21],"to":[22,38,40,80,135,144,155],"users,":[23],"such":[24],"as":[25,239],"data":[26,128],"input,":[27],"processing,":[28],"output,":[29],"and":[30,65,89,92,126,158,189],"database":[31],"management.":[32],"These":[33],"are":[35],"classified":[36],"according":[37],"complexity":[39],"quantify":[41],"system\u2019s":[43],"size":[44,87],"functional":[46,86,107],"point":[47],"units.":[48],"In":[49,174],"this":[50],"paper,":[51],"we":[52],"propose":[53],"two":[54],"graph":[55,147],"neural":[56],"networks:":[57],"Graph-based":[59],"Similarity":[60],"Detection":[61],"Neural":[62,70],"Network":[63,71],"(GSDNN)":[64],"Prior-Structural":[67],"Information":[68],"Graph":[69],"(PSI-GNN)":[72],"with":[73,149,215],"pre-trained":[75],"layer":[76],"using":[77,166,198],"transfer":[78],"learning,":[79],"define":[81],"best":[83],"model":[84],"for":[85,129,186],"prediction":[88],"uncover":[90],"patterns":[91],"trends":[93],"data.":[95],"Additionally,":[96,200],"NESMA":[98,246],"(Netherlands":[99],"Software":[100,118],"Metrics":[101],"Users":[102],"Association)":[103],"method,":[104,227],"from":[105],"families":[108],"approach,":[109,177],"will":[110],"be":[111,156],"focus,":[113],"where":[114],"ISBSG":[116],"(International":[117],"Benchmarking":[119],"Standards":[120],"Group)":[121],"dataset,":[122,188],"which":[123],"provides":[124],"standardized":[125],"relevant":[127],"comparing":[130],"performance,":[132],"was":[133,143,196,213],"used":[134],"analyze":[136],"1704":[137],"industrial":[138],"projects.":[140],"The":[141,231],"goal":[142],"identify":[145],"architecture":[148],"smallest":[151],"number":[152,179],"of":[153,180,194,203,233],"experiments":[154,181],"performed":[157],"lowest":[160],"Mean":[161],"Magnitude":[162],"Relative":[163],"Error":[164],"(MMRE)":[165],"orthogonal-array":[167],"tuning":[168],"optimization":[169],"via":[170],"Latin":[171],"Square":[172],"extraction.":[173],"proposed":[176],"fewer":[183],"than":[184],"8":[185],"each":[187],"minimum":[191],"MMRE":[192,211],"value":[193,212],"0.97%":[195],"obtained":[197],"PSI-GNN.":[199],"impact":[202],"five":[204],"input":[205],"features":[206],"change":[209],"analyzed":[214],"top-performing":[217],"model,":[218],"employing":[219],"SHAP":[221],"(SHapley":[222],"Additive":[223],"exPlanations)":[224],"feature":[225],"importance":[226],"visualized":[228],"through":[229],"GraphExplainer.":[230],"frequency":[232],"user-initiated":[234],"transactions,":[235],"quantified":[236],"technically,":[237],"emerged":[238],"most":[241],"significant":[242],"determinant":[243],"within":[244],"framework.":[247]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
