{"id":"https://openalex.org/W4405033737","doi":"https://doi.org/10.48550/arxiv.2412.00959","title":"Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations","display_name":"Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4405033737","doi":"https://doi.org/10.48550/arxiv.2412.00959"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2412.00959","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.00959","pdf_url":"https://arxiv.org/pdf/2412.00959","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.00959","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070914192","display_name":"Summra Saleem","orcid":"https://orcid.org/0009-0004-6738-1896"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saleem, Summra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694368","display_name":"Muhammad Nabeel Asim","orcid":"https://orcid.org/0000-0003-3062-9996"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asim, Muhammad Nabeel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011903664","display_name":"Ludger van Elst","orcid":"https://orcid.org/0000-0001-5965-4250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Elst, Ludger","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101904182","display_name":"Andreas Dengel","orcid":"https://orcid.org/0000-0002-6100-8255"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dengel, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9861999750137329,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9861999750137329,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9674000144004822,"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/generative-grammar","display_name":"Generative grammar","score":0.7360759377479553},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.5969862341880798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5280480980873108},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3311241865158081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24818062782287598},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23387223482131958},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.059501856565475464}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7360759377479553},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.5969862341880798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5280480980873108},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3311241865158081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24818062782287598},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23387223482131958},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.059501856565475464}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2412.00959","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.00959","pdf_url":"https://arxiv.org/pdf/2412.00959","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2412.00959","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.00959","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.00959","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.00959","pdf_url":"https://arxiv.org/pdf/2412.00959","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2380075625","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Traditional":[0],"language":[1,42,70,87,98,178],"models":[2,43,88,179,238],"have":[3,18],"been":[4,20],"extensively":[5],"evaluated":[6],"for":[7,44,235],"software":[8],"engineering":[9,51,80,143,231],"domain,":[10],"however":[11],"the":[12,27,38,65,101,154,187,206],"potential":[13,39],"of":[14,40,46,49,57,60,68,78,85],"ChatGPT":[15,160,193,212],"and":[16,96,122,161,165,176,192,198,211,213,219],"Gemini":[17,138,162,199,214,226],"not":[19],"fully":[21],"explored.":[22],"To":[23],"fulfill":[24],"this":[25],"gap,":[26],"paper":[28,102],"in":[29,134],"hand":[30],"presents":[31],"a":[32],"comprehensive":[33],"case":[34],"study":[35],"to":[36,136,144,195,216,241],"investigate":[37],"both":[41,69,86,177,237],"development":[45],"diverse":[47],"types":[48],"requirement":[50,79,150],"applications.":[52],"It":[53],"deeply":[54],"explores":[55],"impact":[56],"varying":[58],"levels":[59],"expert":[61],"knowledge":[62],"prompts":[63],"on":[64,170],"prediction":[66],"accuracies":[67],"models.":[71,99],"Across":[72],"4":[73,104],"different":[74],"public":[75],"benchmark":[76,105,152],"datasets":[77,124],"tasks,":[81],"it":[82],"compares":[83],"performance":[84],"with":[89],"existing":[90],"task":[91,186],"specific":[92],"machine/deep":[93],"learning":[94],"predictors":[95,244],"traditional":[97],"Specifically,":[100],"utilizes":[103],"datasets;":[106],"Pure":[107],"(7,445":[108],"samples,":[109,113],"requirements":[110,114,127,171],"extraction),PROMISE":[111],"(622":[112],"classification),":[115],"REQuestA":[116],"(300":[117],"question":[118,203],"answer":[119],"(QA)":[120],"pairs)":[121],"Aerospace":[123],"(6347":[125],"words,":[126],"NER":[128],"tagging).":[129],"Our":[130,222],"experiments":[131,223],"reveal":[132],"that,":[133],"comparison":[135],"ChatGPT,":[137],"requires":[139,227],"more":[140,228],"careful":[141],"prompt":[142,230],"provide":[145],"accurate":[146],"predictions.":[147],"Moreover,":[148],"across":[149,202,245],"extraction":[151],"dataset":[153,173,205],"state-of-the-art":[155,188,207,243],"F1-score":[156,169,189,208],"is":[157,174,190,209],"0.86":[158],"while":[159],"achieved":[163],"0.76":[164],"0.77,respectively.":[166],"The":[167],"State-of-the-art":[168],"classification":[172],"0.96":[175],"0.78.":[180],"In":[181],"name":[182],"entity":[183],"recognition":[184],"(NER)":[185],"0.92":[191],"managed":[194,215],"produce":[196,217],"0.36,":[197],"0.25.":[200],"Similarly,":[201],"answering":[204],"0.90":[210],"0.91":[218],"0.88":[220],"respectively.":[221],"show":[224],"that":[225],"precise":[229],"than":[232],"ChatGPT.":[233],"Except":[234],"question-answering,":[236],"under-perform":[239],"compared":[240],"current":[242],"other":[246],"tasks.":[247]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2024-12-05T00:00:00"}