---
_id: '44'
abstract:
- lang: eng
  text: Natural language software requirements descriptions enable end users to formulate
    their wishes and expectations for a future software product without much prior
    knowledge in requirements engineering. However, these descriptions are susceptible
    to linguistic inaccuracies such as ambiguities and incompleteness that can harm
    the development process. There is a number of software solutions that can detect
    deficits in requirements descriptions and partially solve them, but they are often
    hard to use and not suitable for end users. For this reason, we develop a software
    system that helps end-users to create unambiguous and complete requirements descriptions
    by combining existing expert tools and controlling them using automatic compensation
    strategies. In order to recognize the necessity of individual compensation methods
    in the descriptions, we have developed linguistic indicators, which we present
    in this paper. Based on these indicators, the whole text analysis pipeline is
    ad-hoc configured and thus adapted to the individual circumstances of a requirements
    description.
author:
- first_name: Frederik Simon
  full_name: Bäumer, Frederik Simon
  id: '38837'
  last_name: Bäumer
- first_name: Michaela
  full_name: Geierhos, Michaela
  id: '42496'
  last_name: Geierhos
  orcid: 0000-0002-8180-5606
citation:
  ama: 'Bäumer FS, 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. doi:<a href="https://doi.org/10125/50609">10125/50609</a>'
  apa: Bäumer, F. S., &#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). Big Island, Waikoloa Village.
    <a href="https://doi.org/10125/50609">https://doi.org/10125/50609</a>
  bibtex: '@inproceedings{Bäumer_Geierhos_2018, title={Flexible Ambiguity Resolution
    and Incompleteness Detection in Requirements Descriptions via an Indicator-based
    Configuration of Text Analysis Pipelines}, DOI={<a href="https://doi.org/10125/50609">10125/50609</a>},
    booktitle={Proceedings of the 51st Hawaii International Conference on System Sciences},
    author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2018}, pages={5746–5755}
    }'
  chicago: Bäumer, Frederik Simon, 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. <a href="https://doi.org/10125/50609">https://doi.org/10125/50609</a>.
  ieee: F. S. 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>, Big Island, Waikoloa Village, 2018, pp. 5746–5755.
  mla: Bäumer, Frederik Simon, 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, doi:<a href="https://doi.org/10125/50609">10125/50609</a>.
  short: 'F.S. 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: Big Island, Waikoloa Village
  name: 51st Hawaii International Conference on System Sciences (HICSS 2018)
  start_date: 2018-01-03
date_created: 2017-10-17T12:40:59Z
date_updated: 2022-01-06T07:01:01Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10125/50609
file:
- access_level: closed
  content_type: application/pdf
  creator: ups
  date_created: 2018-11-02T14:32:35Z
  date_updated: 2018-11-02T14:32:35Z
  file_id: '5274'
  file_name: paper0722.pdf
  file_size: 753693
  relation: main_file
  success: 1
file_date_updated: 2018-11-02T14:32:35Z
has_accepted_license: '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://scholarspace.manoa.hawaii.edu/bitstream/10125/50609/1/paper0722.pdf
oa: '1'
page: 5746-5755
project:
- _id: '1'
  name: SFB 901
- _id: '3'
  name: SFB 901 - Project Area B
- _id: '9'
  name: SFB 901 - Subproject B1
publication: Proceedings of the 51st Hawaii International Conference on System Sciences
publication_identifier:
  isbn:
  - 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: '477'
year: '2018'
...