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Crowd-based requirements elicitation via pull feedback: method and case studies
Crowd-based Requirements Engineering (CrowdRE) promotes the active involvement of a large number of stakeholders in RE activities. A prominent strand of CrowdRE research concerns the creation and use of online platforms for a crowd of stakeholders to formulate ideas, which serve as an additional inp...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392511/ https://www.ncbi.nlm.nih.gov/pubmed/36033205 http://dx.doi.org/10.1007/s00766-022-00384-6 |
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author | Wouters, Jelle Menkveld, Abel Brinkkemper, Sjaak Dalpiaz, Fabiano |
author_facet | Wouters, Jelle Menkveld, Abel Brinkkemper, Sjaak Dalpiaz, Fabiano |
author_sort | Wouters, Jelle |
collection | PubMed |
description | Crowd-based Requirements Engineering (CrowdRE) promotes the active involvement of a large number of stakeholders in RE activities. A prominent strand of CrowdRE research concerns the creation and use of online platforms for a crowd of stakeholders to formulate ideas, which serve as an additional input for requirements elicitation. Most of the reported case studies are of small size, and they analyze the size of the crowd, rather than the quality of the collected ideas. By means of an iterative design that includes three case studies conducted at two organizations, we present the CREUS method for crowd-based elicitation via user stories. Besides reporting the details of these case studies and quantitative results on the number of participants, ideas, votes, etc., a key contribution of this paper is a qualitative analysis of the elicited ideas. To analyze the quality of the user stories, we apply criteria from the Quality User Story framework, we calculate automated text readability metrics, and we check for the presence of vague words. We also study whether the user stories can be linked to software qualities, and the specificity of the ideas. Based on the results, we distill six key findings regarding CREUS and, more generally, for CrowdRE via pull feedback. |
format | Online Article Text |
id | pubmed-9392511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-93925112022-08-22 Crowd-based requirements elicitation via pull feedback: method and case studies Wouters, Jelle Menkveld, Abel Brinkkemper, Sjaak Dalpiaz, Fabiano Requir Eng Original Article Crowd-based Requirements Engineering (CrowdRE) promotes the active involvement of a large number of stakeholders in RE activities. A prominent strand of CrowdRE research concerns the creation and use of online platforms for a crowd of stakeholders to formulate ideas, which serve as an additional input for requirements elicitation. Most of the reported case studies are of small size, and they analyze the size of the crowd, rather than the quality of the collected ideas. By means of an iterative design that includes three case studies conducted at two organizations, we present the CREUS method for crowd-based elicitation via user stories. Besides reporting the details of these case studies and quantitative results on the number of participants, ideas, votes, etc., a key contribution of this paper is a qualitative analysis of the elicited ideas. To analyze the quality of the user stories, we apply criteria from the Quality User Story framework, we calculate automated text readability metrics, and we check for the presence of vague words. We also study whether the user stories can be linked to software qualities, and the specificity of the ideas. Based on the results, we distill six key findings regarding CREUS and, more generally, for CrowdRE via pull feedback. Springer London 2022-08-20 2022 /pmc/articles/PMC9392511/ /pubmed/36033205 http://dx.doi.org/10.1007/s00766-022-00384-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Wouters, Jelle Menkveld, Abel Brinkkemper, Sjaak Dalpiaz, Fabiano Crowd-based requirements elicitation via pull feedback: method and case studies |
title | Crowd-based requirements elicitation via pull feedback: method and case studies |
title_full | Crowd-based requirements elicitation via pull feedback: method and case studies |
title_fullStr | Crowd-based requirements elicitation via pull feedback: method and case studies |
title_full_unstemmed | Crowd-based requirements elicitation via pull feedback: method and case studies |
title_short | Crowd-based requirements elicitation via pull feedback: method and case studies |
title_sort | crowd-based requirements elicitation via pull feedback: method and case studies |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392511/ https://www.ncbi.nlm.nih.gov/pubmed/36033205 http://dx.doi.org/10.1007/s00766-022-00384-6 |
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