{"id":"https://openalex.org/W4401509476","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615269","title":"Test Code Generation for Telecom Software Systems Using Two-Stage Generative Model","display_name":"Test Code Generation for Telecom Software Systems Using Two-Stage Generative Model","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4401509476","doi":"https://doi.org/10.1109/iccworkshops59551.2024.10615269"},"language":"en","primary_location":{"id":"doi:10.1109/iccworkshops59551.2024.10615269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops59551.2024.10615269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","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/A5086177304","display_name":"Mohamad Nabeel","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Mohamad Nabeel","raw_affiliation_strings":["Global AI Accelerator,Ericsson,Sweden"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator,Ericsson,Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095094613","display_name":"Doumitrou Daniil Nimara","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Doumitrou Daniil Nimara","raw_affiliation_strings":["Global AI Accelerator,Ericsson,Sweden"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator,Ericsson,Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083588635","display_name":"Tahar Zanouda","orcid":"https://orcid.org/0009-0005-3646-600X"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tahar Zanouda","raw_affiliation_strings":["Global AI Accelerator,Ericsson,Sweden"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator,Ericsson,Sweden","institution_ids":["https://openalex.org/I1306339040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086177304"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":1.9748,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88213508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1231","last_page":"1236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9955000281333923,"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":0.9955000281333923,"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/T12810","display_name":"Real-time simulation and control systems","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9642000198364258,"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/computer-science","display_name":"Computer science","score":0.7100702524185181},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5437494516372681},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.5058481693267822},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5022945404052734},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4206297993659973},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3906104564666748},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3769601583480835},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.24994269013404846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1750982403755188},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13671976327896118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100702524185181},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5437494516372681},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.5058481693267822},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5022945404052734},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4206297993659973},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3906104564666748},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3769601583480835},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.24994269013404846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1750982403755188},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13671976327896118},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccworkshops59551.2024.10615269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccworkshops59551.2024.10615269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1979345446","https://openalex.org/W2158586961","https://openalex.org/W2970360512","https://openalex.org/W3036167779","https://openalex.org/W3132276364","https://openalex.org/W4281400706","https://openalex.org/W4287024925","https://openalex.org/W4292753694","https://openalex.org/W4317796310","https://openalex.org/W4327928501","https://openalex.org/W4375859932","https://openalex.org/W4385562549","https://openalex.org/W4386114236","https://openalex.org/W4386185625","https://openalex.org/W4386579875","https://openalex.org/W4387294579","https://openalex.org/W4388716309","https://openalex.org/W4389364446","https://openalex.org/W4390215440","https://openalex.org/W4390343450","https://openalex.org/W4390529439","https://openalex.org/W4390963096","https://openalex.org/W4392409072","https://openalex.org/W4392414327","https://openalex.org/W4400484796","https://openalex.org/W4402665833","https://openalex.org/W4404783393","https://openalex.org/W6767782324","https://openalex.org/W6779823529","https://openalex.org/W6800166007"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W4383031710","https://openalex.org/W2048831961","https://openalex.org/W1606349578"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,98,105,131,152],"evolution":[4],"of":[5,107],"Telecom":[6,20,42,68,91,108,143,148],"towards":[7],"achieving":[8],"intelligent,":[9],"autonomous,":[10],"and":[11,30,47,142,162],"open":[12],"networks":[13],"has":[14],"led":[15],"to":[16,45,126],"an":[17],"increasingly":[18],"complex":[19],"Software":[21,69],"system,":[22],"supporting":[23],"various":[24],"heterogeneous":[25],"deployment":[26,52],"scenarios,":[27],"with":[28,119],"multi-standard":[29],"multi-vendor":[31],"support.":[32],"As":[33],"a":[34,38,60,84],"result,":[35],"it":[36],"becomes":[37],"challenge":[39],"for":[40,50,62,66,79],"large-scale":[41,67],"software":[43,49,113],"companies":[44],"develop":[46],"test":[48,80,120,158,164],"all":[51],"scenarios.":[53],"To":[54],"address":[55],"these":[56],"challenges,":[57],"we":[58],"propose":[59],"framework":[61,153],"Automated":[63],"Test":[64,75,128],"Generation":[65],"systems.":[70],"We":[71],"begin":[72],"by":[73],"generating":[74],"Case":[76],"Input":[77],"data":[78,93,115,160],"scenarios":[81],"observed":[82],"using":[83,130],"time-series":[85,99,112],"Generative":[86,100,132],"model":[87,101],"trained":[88],"on":[89,139],"historical":[90],"Network":[92],"during":[94],"field":[95],"trials.":[96],"Additionally,":[97],"helps":[102],"in":[103,123],"preserving":[104],"privacy":[106],"data.":[109],"The":[110],"generated":[111],"performance":[114],"are":[116],"then":[117],"utilized":[118],"descriptions":[121],"written":[122],"natural":[124],"language":[125],"generate":[127,156],"Script":[129],"Large":[133],"Language":[134],"Model.":[135],"Our":[136],"comprehensive":[137,157],"experiments":[138],"public":[140],"datasets":[141,144],"obtained":[145],"from":[146],"operational":[147],"Networks":[149],"demonstrate":[150],"that":[151],"can":[154],"effectively":[155],"case":[159],"input":[161],"useful":[163],"code.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}