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Towards ubiquitous requirements engineering through recommendations based on context histories
The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intel...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771779/ https://www.ncbi.nlm.nih.gov/pubmed/35111909 http://dx.doi.org/10.7717/peerj-cs.794 |
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author | Lima, Robson Filippetto, Alexsandro S. Heckler, Wesllei Barbosa, Jorge L.V. Leithardt, Valderi R.Q. |
author_facet | Lima, Robson Filippetto, Alexsandro S. Heckler, Wesllei Barbosa, Jorge L.V. Leithardt, Valderi R.Q. |
author_sort | Lima, Robson |
collection | PubMed |
description | The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intelligent tools to assist requirements engineers. Therefore, this article proposes Nhatos, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements. The scientific contribution of this study is the use of the similarity analysis of projects through their context histories to generate the requirement recommendations. The implementation of a prototype allowed to evaluate the proposal through a case study based on real scenarios from the industry. One hundred fifty-three software projects from a large bank institution generated context histories used in the recommendations. The experiment demonstrated that the model achieved more than 70% stakeholder acceptance of the recommendations. |
format | Online Article Text |
id | pubmed-8771779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87717792022-02-01 Towards ubiquitous requirements engineering through recommendations based on context histories Lima, Robson Filippetto, Alexsandro S. Heckler, Wesllei Barbosa, Jorge L.V. Leithardt, Valderi R.Q. PeerJ Comput Sci Agents and Multi-Agent Systems The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intelligent tools to assist requirements engineers. Therefore, this article proposes Nhatos, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements. The scientific contribution of this study is the use of the similarity analysis of projects through their context histories to generate the requirement recommendations. The implementation of a prototype allowed to evaluate the proposal through a case study based on real scenarios from the industry. One hundred fifty-three software projects from a large bank institution generated context histories used in the recommendations. The experiment demonstrated that the model achieved more than 70% stakeholder acceptance of the recommendations. PeerJ Inc. 2022-01-03 /pmc/articles/PMC8771779/ /pubmed/35111909 http://dx.doi.org/10.7717/peerj-cs.794 Text en ©2022 Lima et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Agents and Multi-Agent Systems Lima, Robson Filippetto, Alexsandro S. Heckler, Wesllei Barbosa, Jorge L.V. Leithardt, Valderi R.Q. Towards ubiquitous requirements engineering through recommendations based on context histories |
title | Towards ubiquitous requirements engineering through recommendations based on context histories |
title_full | Towards ubiquitous requirements engineering through recommendations based on context histories |
title_fullStr | Towards ubiquitous requirements engineering through recommendations based on context histories |
title_full_unstemmed | Towards ubiquitous requirements engineering through recommendations based on context histories |
title_short | Towards ubiquitous requirements engineering through recommendations based on context histories |
title_sort | towards ubiquitous requirements engineering through recommendations based on context histories |
topic | Agents and Multi-Agent Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771779/ https://www.ncbi.nlm.nih.gov/pubmed/35111909 http://dx.doi.org/10.7717/peerj-cs.794 |
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