{"id":"https://openalex.org/W4403935954","doi":"https://doi.org/10.1145/3652620.3687800","title":"A Comparative Analysis of ChatGPT-Generated and Human-Written Use Case Descriptions","display_name":"A Comparative Analysis of ChatGPT-Generated and Human-Written Use Case Descriptions","publication_year":2024,"publication_date":"2024-09-22","ids":{"openalex":"https://openalex.org/W4403935954","doi":"https://doi.org/10.1145/3652620.3687800"},"language":"en","primary_location":{"id":"doi:10.1145/3652620.3687800","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652620.3687800","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652620.3687800?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems","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/10.1145/3652620.3687800?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025809313","display_name":"Evin Aslan O\u011fuz","orcid":"https://orcid.org/0000-0002-2750-7667"},"institutions":[{"id":"https://openalex.org/I203082224","display_name":"Hochschule Bielefeld","ror":"https://ror.org/00edvg943","country_code":"DE","type":"education","lineage":["https://openalex.org/I203082224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Evin Aslan O\u011fuz","raw_affiliation_strings":["Business Informatics, Hochschule Bielefeld, BieleFeld, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2750-7667","affiliations":[{"raw_affiliation_string":"Business Informatics, Hochschule Bielefeld, BieleFeld, Germany","institution_ids":["https://openalex.org/I203082224"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114473818","display_name":"Jochen Malte Kuester","orcid":null},"institutions":[{"id":"https://openalex.org/I203082224","display_name":"Hochschule Bielefeld","ror":"https://ror.org/00edvg943","country_code":"DE","type":"education","lineage":["https://openalex.org/I203082224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jochen Malte Kuester","raw_affiliation_strings":["Business Informatics, Hochschule Bielefeld, BieleFeld, Germany"],"raw_orcid":"https://orcid.org/0009-0004-0271-6069","affiliations":[{"raw_affiliation_string":"Business Informatics, Hochschule Bielefeld, BieleFeld, Germany","institution_ids":["https://openalex.org/I203082224"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203082224"],"apc_list":null,"apc_paid":null,"fwci":0.2829,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55117139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9916999936103821,"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/T10028","display_name":"Topic Modeling","score":0.9807000160217285,"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/computer-science","display_name":"Computer science","score":0.6047531962394714},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4641047716140747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6047531962394714},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4641047716140747}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652620.3687800","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652620.3687800","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652620.3687800?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652620.3687800","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652620.3687800","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652620.3687800?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403935954.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1491008813","https://openalex.org/W2078346652","https://openalex.org/W2146582013","https://openalex.org/W2745156229","https://openalex.org/W2993736204","https://openalex.org/W3104326040","https://openalex.org/W4387143083","https://openalex.org/W4391974543","https://openalex.org/W4398183782"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,23],"development":[1],"of":[2,25,50,62,78,138,161],"comprehensive":[3],"use":[4,51,66,113,142,165],"case":[5,52,67,114,143,166],"descriptions":[6,53,68],"is":[7,69],"a":[8,75,128,158],"critical":[9],"task":[10],"in":[11,37,54,64,111],"software":[12,55,72,184],"engineering,":[13],"providing":[14,169],"essential":[15],"insights":[16,186],"for":[17,71,141],"requirement":[18],"analysis":[19,160],"and":[20,60,135,163,181],"system":[21],"design.":[22],"advent":[24],"advanced":[26],"natural":[27],"language":[28],"processing":[29],"models,":[30],"such":[31],"as":[32],"ChatGPT,":[33],"has":[34],"sparked":[35],"interest":[36],"their":[38,117,193],"potential":[39,180],"to":[40,88,99,120,151,172,187],"automate":[41],"tasks":[42],"traditionally":[43],"performed":[44],"by":[45,156],"humans,":[46],"including":[47],"the":[48,58,101,136,148,153],"generation":[49],"engineering.":[56],"Understanding":[57],"capabilities":[59],"limitations":[61],"ChatGPT":[63,109],"generating":[65,112],"crucial":[70],"engineers.":[73],"Without":[74],"clear":[76],"understanding":[77],"its":[79,85,95,179],"performance,":[80,176],"practitioners":[81],"may":[82],"either":[83],"overestimate":[84],"utility,":[86],"leading":[87],"reliance":[89],"on":[90],"suboptimal":[91],"drafts,":[92],"or":[93],"underestimate":[94],"capabilities,":[96],"missing":[97],"opportunities":[98],"streamline":[100],"drafting":[102],"process.":[103],"This":[104],"paper":[105],"addresses":[106],"how":[107],"well":[108],"performs":[110],"descriptions,":[115],"evaluating":[116],"quality":[118,133],"compared":[119],"human-written":[121,164],"descriptions.":[122,144,167],"To":[123],"do":[124],"so,":[125],"we":[126,177],"employ":[127],"structured":[129],"approach":[130,171],"using":[131],"established":[132],"guidelines":[134],"concept":[137],"\"bad":[139],"smells\"":[140],"Our":[145],"study":[146],"presents":[147],"first":[149],"attempt":[150],"bridge":[152],"knowledge":[154],"gap":[155],"offering":[157,183],"comparative":[159],"ChatGPT-generated":[162],"By":[168],"an":[170],"objectively":[173],"assess":[174],"ChatGPT's":[175],"highlight":[178],"limitations,":[182],"engineers":[185],"effectively":[188],"integrate":[189],"AI":[190],"tools":[191],"into":[192],"workflows.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
