{"id":"https://openalex.org/W7151766819","doi":"https://doi.org/10.1109/isdfs69419.2026.11459067","title":"An LLM-Powered API Testing Framework Based on Structural Similarity Analysis","display_name":"An LLM-Powered API Testing Framework Based on Structural Similarity Analysis","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7151766819","doi":"https://doi.org/10.1109/isdfs69419.2026.11459067"},"language":null,"primary_location":{"id":"doi:10.1109/isdfs69419.2026.11459067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdfs69419.2026.11459067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 14th International Symposium on Digital Forensics and Security (ISDFS)","raw_type":"proceedings-article"},"type":"article","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/A5022450296","display_name":"An\u0131l Sezgin","orcid":"https://orcid.org/0000-0002-5754-1380"},"institutions":[{"id":"https://openalex.org/I4210112332","display_name":"Memorial Sisli Hospital","ror":"https://ror.org/021e99k21","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210112332"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"An\u0131l Sezgin","raw_affiliation_strings":["Research and Development, Siemens A.S.,Istanbul,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development, Siemens A.S.,Istanbul,Turkey","institution_ids":["https://openalex.org/I4210112332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093059061","display_name":"Tu\u011fberk Kocatekin","orcid":"https://orcid.org/0000-0001-6171-0135"},"institutions":[{"id":"https://openalex.org/I50627504","display_name":"Istanbul Arel University","ror":"https://ror.org/03natay60","country_code":"TR","type":"education","lineage":["https://openalex.org/I50627504"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tu\u011fberk Kocatekin","raw_affiliation_strings":["Istanbul Arel University,Department of Computer Engineering,Istanbul,Turkey"],"raw_orcid":"https://orcid.org/0000-0001-6171-0135","affiliations":[{"raw_affiliation_string":"Istanbul Arel University,Department of Computer Engineering,Istanbul,Turkey","institution_ids":["https://openalex.org/I50627504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129677393","display_name":"Mert Ya\u011fc\u0131o\u011flu","orcid":null},"institutions":[{"id":"https://openalex.org/I50627504","display_name":"Istanbul Arel University","ror":"https://ror.org/03natay60","country_code":"TR","type":"education","lineage":["https://openalex.org/I50627504"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mert Ya\u011fc\u0131o\u011flu","raw_affiliation_strings":["Istanbul Arel University,Department of Computer Engineering,Istanbul,Turkey"],"raw_orcid":"https://orcid.org/0000-0001-6493-6447","affiliations":[{"raw_affiliation_string":"Istanbul Arel University,Department of Computer Engineering,Istanbul,Turkey","institution_ids":["https://openalex.org/I50627504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022450296"],"corresponding_institution_ids":["https://openalex.org/I4210112332"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9354000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9354000091552734,"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/T12127","display_name":"Software System Performance and Reliability","score":0.027499999850988388,"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/T12479","display_name":"Web Application Security Vulnerabilities","score":0.004399999976158142,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.3357999920845032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32820001244544983},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.26660001277923584},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2635999917984009},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.26019999384880066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603600025177002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49540001153945923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38929998874664307},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3357999920845032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.24809999763965607}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isdfs69419.2026.11459067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdfs69419.2026.11459067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 14th International Symposium on Digital Forensics and Security (ISDFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W4384304865","https://openalex.org/W4389104713","https://openalex.org/W4391923915","https://openalex.org/W4394015350","https://openalex.org/W4399601909","https://openalex.org/W4400484796","https://openalex.org/W4400647844","https://openalex.org/W4402295108","https://openalex.org/W4402443209","https://openalex.org/W4404302073","https://openalex.org/W4404801455","https://openalex.org/W4407625253","https://openalex.org/W4408732522","https://openalex.org/W4408838832","https://openalex.org/W4409902086","https://openalex.org/W4411204680","https://openalex.org/W4411205337","https://openalex.org/W4411487251"],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,4,14,22,47,55,62,71,101,110,119,123,129,133,139,142,145,169,172,183,211,219,231,238,244,247,251,255,263,269,277,283],"context":[2],"of":[3,9,16,49,61,103,122,171,195,228,234,271,282],"accuracy,":[5,278],"dependability,":[6,279],"and":[7,58,246,280],"security":[8,281],"application":[10],"programming":[11],"interfaces":[12],"(APIs),":[13],"importance":[15],"API":[17,35,50,63,79,96,114,124,134,148,159,174,185,200,205,213,239,248,257,272,284],"testing":[18],"is":[19,29,265],"undeniable.":[20],"Nevertheless,":[21],"effort":[23,72],"required":[24,73],"to":[25,41,69,77,94,112,167],"comprehensively":[26],"test":[27,36,51,64,80,97,115,125,135,149,175,186,201,214,240,258,273,285],"APIs":[28],"significant,":[30],"especially":[31],"when":[32],"creating":[33],"valid":[34,199],"cases.":[37,65,81,126,286],"This":[38],"study":[39,67,83,143,155,180,208,252],"seeks":[40],"develop":[42],"a":[43,85,89,157,191,222],"framework":[44,86,108,189,217,261],"that":[45,87,161,182,210,254],"automates":[46],"generation":[48,177,188,216,260,270],"cases":[52,98,116,136,202,241,274],"while":[53,117,275],"ensuring":[54,118,276],"structural":[56,104,130,151,235],"validity":[57],"functional":[59,120],"correctness":[60,121],"The":[66,82,106,154,179,207],"aims":[68],"reduce":[70],"by":[74,138,243],"human":[75],"testers":[76],"generate":[78,95,113],"proposes":[84],"utilizes":[88,109,156],"large":[90],"language":[91],"model":[92],"(LLM)":[93],"based":[99],"on":[100],"concept":[102],"similarity.":[105],"proposed":[107,140,173,184,212,256],"LLM":[111,220,245,264],"To":[127],"validate":[128,168],"similarity":[131,226],"between":[132,237],"generated":[137,242],"framework,":[141],"introduces":[144],"Jaccard":[146,225],"similarity-based":[147],"case":[150,176,187,215,259],"validation":[152],"mechanism.":[153],"multi-domain":[158],"ecosystem":[160],"contains":[162],"more":[163],"than":[164],"40":[165],"endpoints":[166],"effectiveness":[170],"framework.":[178],"found":[181,209],"achieved":[190,221],"high":[192,223,232],"success":[193],"rate":[194],"84%":[196],"in":[197,267],"generating":[198],"for":[203],"different":[204],"domains.":[206],"using":[218,262],"mean":[224],"coefficient":[227],"0.827,":[229],"indicating":[230],"level":[233],"alignment":[236],"specifications.":[249],"Therefore,":[250],"concludes":[253],"effective":[266],"automating":[268]},"counts_by_year":[],"updated_date":"2026-04-10T06:02:16.177343","created_date":"2026-04-09T00:00:00"}