{"id":"https://openalex.org/W4412703992","doi":"https://doi.org/10.1145/3696630.3728722","title":"Insights into the Generalizability and Robustness of AI-Driven Code Comment Generation: A Replication Study","display_name":"Insights into the Generalizability and Robustness of AI-Driven Code Comment Generation: A Replication Study","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4412703992","doi":"https://doi.org/10.1145/3696630.3728722"},"language":"en","primary_location":{"id":"doi:10.1145/3696630.3728722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728722","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728722","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728722","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119096437","display_name":"Eray Erer","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Eray Erer","raw_affiliation_strings":["Bo\u011fazi\u00e7i University, \u0130stanbul, Turkiye"],"raw_orcid":"https://orcid.org/0009-0001-1214-1674","affiliations":[{"raw_affiliation_string":"Bo\u011fazi\u00e7i University, \u0130stanbul, Turkiye","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119096438","display_name":"Turgay Aytac","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101260","display_name":"T\u00fcrkisch-Deutsche Universit\u00e4t","ror":"https://ror.org/017bbc354","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210101260"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Turgay Aytac","raw_affiliation_strings":["AI4U, \u0130stanbul, Turkiye"],"raw_orcid":"https://orcid.org/0009-0006-7557-3104","affiliations":[{"raw_affiliation_string":"AI4U, \u0130stanbul, Turkiye","institution_ids":["https://openalex.org/I4210101260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040214901","display_name":"Aysun Bozanta","orcid":"https://orcid.org/0000-0002-1768-6278"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Aysun Bozanta","raw_affiliation_strings":["Bo\u011fazi\u00e7i University, \u0130stanbul, Turkiye"],"raw_orcid":"https://orcid.org/0000-0002-1768-6278","affiliations":[{"raw_affiliation_string":"Bo\u011fazi\u00e7i University, \u0130stanbul, Turkiye","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ayse Basar","orcid":"https://orcid.org/0000-0003-4934-8326"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ayse Basar","raw_affiliation_strings":["Toronto Metropolitan University, Toronto, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0003-4934-8326","affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1368","last_page":"1375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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/T10260","display_name":"Software Engineering Research","score":0.9959999918937683,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9937000274658203,"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/generalizability-theory","display_name":"Generalizability theory","score":0.935258686542511},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7688592672348022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6564475297927856},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.5832877159118652},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41607797145843506},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.31981325149536133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12445610761642456},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12096217274665833},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.05502444505691528}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.935258686542511},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7688592672348022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564475297927856},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.5832877159118652},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41607797145843506},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.31981325149536133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12445610761642456},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12096217274665833},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.05502444505691528},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696630.3728722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728722","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728722","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696630.3728722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696630.3728722","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696630.3728722","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412703992.pdf","grobid_xml":"https://content.openalex.org/works/W4412703992.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2020439121","https://openalex.org/W2023925487","https://openalex.org/W2034209539","https://openalex.org/W2290724249","https://openalex.org/W2516621648","https://openalex.org/W2884276923","https://openalex.org/W2963381560","https://openalex.org/W3091730360","https://openalex.org/W3098605233","https://openalex.org/W4249122235","https://openalex.org/W4282927279","https://openalex.org/W4384158959","https://openalex.org/W4384302770","https://openalex.org/W4384345639"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4398543081","https://openalex.org/W4398264681","https://openalex.org/W4398284618","https://openalex.org/W4398443617","https://openalex.org/W4398272139"],"abstract_inverted_index":{"In":[0,81],"the":[1,36,40,49,70,86,104,108,114,143,146,153,175,183],"software":[2,26],"development":[3],"life":[4],"cycle":[5],"(SDLC),":[6],"clear":[7],"and":[8,21,72,97,112,124,157],"comprehensive":[9],"code":[10,18,30,46,66,121,163],"comments":[11],"play":[12],"a":[13],"critical":[14],"role":[15],"in":[16,62,160,174],"improving":[17],"readability,":[19],"maintainability,":[20],"collaboration":[22],"among":[23],"developers.":[24],"As":[25],"complexity":[27],"increases,":[28],"automated":[29],"comment":[31],"generation":[32],"is":[33,131],"one":[34],"of":[35,42,51,74,88,145,185],"solutions":[37],"to":[38,135],"reduce":[39],"burden":[41],"documentation":[43,164],"while":[44],"ensuring":[45],"understandability.":[47],"With":[48],"rise":[50],"generative":[52],"AI,":[53],"large":[54],"language":[55],"models":[56,76],"(LLMs)":[57],"have":[58],"demonstrated":[59],"significant":[60],"potential":[61],"generating":[63],"high-quality":[64],"context-sensitive":[65],"comments.":[67],"However,":[68],"validating":[69],"reliability":[71],"generalizability":[73],"these":[75],"requires":[77],"rigorous":[78],"replication":[79],"studies.":[80],"this":[82],"paper,":[83],"we":[84],"replicate":[85,103],"results":[87,151,168],"LAMNER:":[89],"Code":[90],"Comment":[91],"Generation":[92],"Using":[93],"Character":[94],"Language":[95],"Model":[96],"Named":[98],"Entity":[99],"Recognition":[100],"[17].":[101],"We":[102,166],"main":[105],"experiment":[106],"using":[107],"original":[109,154,176],"research":[110],"setup":[111],"extend":[113],"evaluation":[115,128],"by":[116],"testing":[117],"on":[118,182],"an":[119,126],"alternative":[120],"summarization":[122],"dataset":[123],"employing":[125],"additional":[127],"method":[129],"that":[130,169],"Chatbox":[132],"Arena":[133],"methodology":[134],"assess":[136],"generalizability.":[137],"Our":[138],"study":[139],"provides":[140],"insights":[141],"into":[142],"robustness":[144],"LAMNER":[147],"model,":[148],"compares":[149],"replicated":[150],"with":[152,178],"reported":[155,173],"findings,":[156],"highlights":[158],"challenges":[159],"replicating":[161],"AI-driven":[162],"techniques.":[165],"observed":[167],"differ":[170],"from":[171],"those":[172],"article,":[177],"performance":[179],"varying":[180],"depending":[181],"choice":[184],"data":[186],"set.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
