---
_id: '6793'
alternative_id:
- '5101'
author:
- first_name: Evin
  full_name: Aslan Oguz, Evin
  id: '257089'
  last_name: Aslan Oguz
- first_name: Jochen
  full_name: Küster, Jochen
  id: '217892'
  last_name: Küster
citation:
  alphadin: '<span style="font-variant:small-caps;">Aslan Oguz, Evin</span> ; <span
    style="font-variant:small-caps;">Küster, Jochen</span>: A Comparative Analysis
    of ChatGPT-Generated and Human-Written Use Case Descriptions. In: <span style="font-variant:small-caps;">Association
    for Computing Machinery</span> (Hrsg.): <i>Proceedings of the ACM/IEEE 27th International
    Conference on Model Driven Engineering Languages and Systems</i>. New York, NY,
    USA : ACM, 2024, S. 533–540'
  ama: 'Aslan Oguz E, Küster J. A Comparative Analysis of ChatGPT-Generated and Human-Written
    Use Case Descriptions. In: Association for Computing Machinery, ed. <i>Proceedings
    of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages
    and Systems</i>. New York, NY, USA: ACM; 2024:533-540. doi:<a href="https://doi.org/10.1145/3652620.3687800">10.1145/3652620.3687800</a>'
  apa: 'Aslan Oguz, E., &#38; Küster, J. (2024). A Comparative Analysis of ChatGPT-Generated
    and Human-Written Use Case Descriptions. In Association for Computing Machinery
    (Ed.), <i>Proceedings of the ACM/IEEE 27th International Conference on Model Driven
    Engineering Languages and Systems</i> (pp. 533–540). New York, NY, USA: ACM. <a
    href="https://doi.org/10.1145/3652620.3687800">https://doi.org/10.1145/3652620.3687800</a>'
  bibtex: '@inproceedings{Aslan Oguz_Küster_2024, place={New York, NY, USA}, title={A
    Comparative Analysis of ChatGPT-Generated and Human-Written Use Case Descriptions},
    DOI={<a href="https://doi.org/10.1145/3652620.3687800">10.1145/3652620.3687800</a>},
    booktitle={Proceedings of the ACM/IEEE 27th International Conference on Model
    Driven Engineering Languages and Systems}, publisher={ACM}, author={Aslan Oguz,
    Evin and Küster, Jochen}, editor={Association for Computing MachineryEditor},
    year={2024}, pages={533–540} }'
  chicago: 'Aslan Oguz, Evin, and Jochen Küster. “A Comparative Analysis of ChatGPT-Generated
    and Human-Written Use Case Descriptions.” In <i>Proceedings of the ACM/IEEE 27th
    International Conference on Model Driven Engineering Languages and Systems</i>,
    edited by Association for Computing Machinery, 533–40. New York, NY, USA: ACM,
    2024. <a href="https://doi.org/10.1145/3652620.3687800">https://doi.org/10.1145/3652620.3687800</a>.'
  ieee: E. Aslan Oguz and J. Küster, “A Comparative Analysis of ChatGPT-Generated
    and Human-Written Use Case Descriptions,” in <i>Proceedings of the ACM/IEEE 27th
    International Conference on Model Driven Engineering Languages and Systems</i>,
    Linz Austria, 2024, pp. 533–540.
  mla: Aslan Oguz, Evin, and Jochen Küster. “A Comparative Analysis of ChatGPT-Generated
    and Human-Written Use Case Descriptions.” <i>Proceedings of the ACM/IEEE 27th
    International Conference on Model Driven Engineering Languages and Systems</i>,
    edited by Association for Computing Machinery, ACM, 2024, pp. 533–40, doi:<a href="https://doi.org/10.1145/3652620.3687800">10.1145/3652620.3687800</a>.
  short: 'E. Aslan Oguz, J. Küster, in: Association for Computing Machinery (Ed.),
    Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering
    Languages and Systems, ACM, New York, NY, USA, 2024, pp. 533–540.'
conference:
  end_date: 2024-09-27
  location: Linz Austria
  name: 'MODELS Companion ''24: ACM/IEEE 27th International Conference on Model Driven
    Engineering Languages and Systems'
  start_date: 2024-09-22
corporate_editor:
- Association for Computing Machinery
date_created: 2026-03-09T11:57:10Z
date_updated: 2026-03-17T15:29:34Z
doi: 10.1145/3652620.3687800
file:
- access_level: open_access
  content_type: application/pdf
  creator: easlanoguz
  date_created: 2026-03-09T11:55:51Z
  date_updated: 2026-03-09T11:55:51Z
  file_id: '6794'
  file_name: A Comparative Analysis of ChatGPT-Generated and Human-Written Use Case
    Descriptions.pdf
  file_size: 687335
  relation: main_file
  success: 1
file_date_updated: 2026-03-09T11:55:51Z
has_accepted_license: '1'
keyword:
- Software and its engineering → Object oriented develop- ment
- Requirements analysis
- • Computing methodologies → Natural language processing.
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 533-540
place: New York, NY, USA
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
  name: Institute for Data Science Solutions
publication: Proceedings of the ACM/IEEE 27th International Conference on Model Driven
  Engineering Languages and Systems
publication_identifier:
  isbn:
  - '9798400706226'
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: A Comparative Analysis of ChatGPT-Generated and Human-Written Use Case Descriptions
tmp:
  image: /images/cc_by_nc_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: conference
urn: urn:nbn:de:hbz:bi10-67930
user_id: '220548'
year: '2024'
...
---
_id: '1765'
author:
- first_name: Frederik
  full_name: Bäumer, Frederik
  id: '241734'
  last_name: Bäumer
  orcid: 0000-0002-0826-0144
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-0826-0144/work/173695601
- first_name: Michaela
  full_name: Geierhos, Michaela
  last_name: Geierhos
citation:
  alphadin: '<span style="font-variant:small-caps;">Bäumer, Frederik</span> ; <span
    style="font-variant:small-caps;">Geierhos, Michaela</span>: Flexible Ambiguity
    Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based
    Configuration of Text Analysis Pipelines. In: <i>Proceedings of the 51st Hawaii
    International Conference on System Sciences </i>, 2018, S. 5746–5755'
  ama: 'Bäumer F, Geierhos M. Flexible Ambiguity Resolution and Incompleteness Detection
    in Requirements Descriptions via an Indicator-based Configuration of Text Analysis
    Pipelines. In: <i>Proceedings of the 51st Hawaii International Conference on System
    Sciences </i>. ; 2018:5746-5755.'
  apa: Bäumer, F., &#38; Geierhos, M. (2018). Flexible Ambiguity Resolution and Incompleteness
    Detection in Requirements Descriptions via an Indicator-based Configuration of
    Text Analysis Pipelines. In <i>Proceedings of the 51st Hawaii International Conference
    on System Sciences </i> (pp. 5746–5755). Hawaii.
  bibtex: '@inproceedings{Bäumer_Geierhos_2018, title={Flexible Ambiguity Resolution
    and Incompleteness Detection in Requirements Descriptions via an Indicator-based
    Configuration of Text Analysis Pipelines}, booktitle={Proceedings of the 51st
    Hawaii International Conference on System Sciences }, author={Bäumer, Frederik
    and Geierhos, Michaela}, year={2018}, pages={5746–5755} }'
  chicago: Bäumer, Frederik, and Michaela Geierhos. “Flexible Ambiguity Resolution
    and Incompleteness Detection in Requirements Descriptions via an Indicator-Based
    Configuration of Text Analysis Pipelines.” In <i>Proceedings of the 51st Hawaii
    International Conference on System Sciences </i>, 5746–55, 2018.
  ieee: F. Bäumer and M. Geierhos, “Flexible Ambiguity Resolution and Incompleteness
    Detection in Requirements Descriptions via an Indicator-based Configuration of
    Text Analysis Pipelines,” in <i>Proceedings of the 51st Hawaii International Conference
    on System Sciences </i>, Hawaii, 2018, pp. 5746–5755.
  mla: Bäumer, Frederik, and Michaela Geierhos. “Flexible Ambiguity Resolution and
    Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration
    of Text Analysis Pipelines.” <i>Proceedings of the 51st Hawaii International Conference
    on System Sciences </i>, 2018, pp. 5746–55.
  short: 'F. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International
    Conference on System Sciences , 2018, pp. 5746–5755.'
conference:
  end_date: 2018-01-06
  location: Hawaii
  name: ' Hawaii International Conference on System Sciences (51., 2018, Big Island,
    Waikoloa Village, HI) '
  start_date: 2018-01-03
date_created: 2022-03-31T08:17:54Z
date_updated: 2026-03-17T15:28:24Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
extern: '1'
keyword:
- 'Software Product Lines: Engineering'
- Services
- and Management
- Ambiguities
- Incompleteness
- Natural Language Processing
- Software Requirements
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.semanticscholar.org/paper/Flexible-Ambiguity-Resolution-and-Incompleteness-in-B%C3%A4umer-Geierhos/1924ae6773f09efcfc791454d42a3ec53207a815
oa: '1'
page: 5746-5755
publication: 'Proceedings of the 51st Hawaii International Conference on System Sciences '
publication_identifier:
  issn:
  - 978-0-9981331-1-9
publication_status: published
quality_controlled: '1'
status: public
title: Flexible Ambiguity Resolution and Incompleteness Detection in Requirements
  Descriptions via an Indicator-based Configuration of Text Analysis Pipelines
type: conference
user_id: '35437'
year: '2018'
...