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Specifying requirements for collection and analysis of online user feedback
According to data-driven Requirements Engineering (RE), explicit and implicit user feedback can be considered a relevant source of requirements, thus supporting requirements elicitation. However, limited attention has been paid so far to the role of online feedback in RE tasks, such as requirements...
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/PMC9483507/ https://www.ncbi.nlm.nih.gov/pubmed/36157348 http://dx.doi.org/10.1007/s00766-022-00387-3 |
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author | Astegher, M. Busetta, P. Gabbasov, A. Pedrotti, M. Perini, A. Susi, A. |
author_facet | Astegher, M. Busetta, P. Gabbasov, A. Pedrotti, M. Perini, A. Susi, A. |
author_sort | Astegher, M. |
collection | PubMed |
description | According to data-driven Requirements Engineering (RE), explicit and implicit user feedback can be considered a relevant source of requirements, thus supporting requirements elicitation. However, limited attention has been paid so far to the role of online feedback in RE tasks, such as requirements validation, and on how to specify what online feedback to collect and analyse. We performed an action research study, together with a company that developed a platform for online training. This paper presents the design and execution of the study, and a discussion of its results. This study provides evidence about the need of practitioners to follow a simple but systematic approach for specifying requirements for data collection and analysis, at design time. Another outcome of this study is a method to tackle this task that leverages goal-oriented requirements modelling combined with Goal-Question-Metric. The applicability of the method has been explored on two industrial evaluations, while the perceived effectiveness, efficiency and acceptance have been assessed with practitioners through a dedicated survey. |
format | Online Article Text |
id | pubmed-9483507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-94835072022-09-19 Specifying requirements for collection and analysis of online user feedback Astegher, M. Busetta, P. Gabbasov, A. Pedrotti, M. Perini, A. Susi, A. Requir Eng Original Article According to data-driven Requirements Engineering (RE), explicit and implicit user feedback can be considered a relevant source of requirements, thus supporting requirements elicitation. However, limited attention has been paid so far to the role of online feedback in RE tasks, such as requirements validation, and on how to specify what online feedback to collect and analyse. We performed an action research study, together with a company that developed a platform for online training. This paper presents the design and execution of the study, and a discussion of its results. This study provides evidence about the need of practitioners to follow a simple but systematic approach for specifying requirements for data collection and analysis, at design time. Another outcome of this study is a method to tackle this task that leverages goal-oriented requirements modelling combined with Goal-Question-Metric. The applicability of the method has been explored on two industrial evaluations, while the perceived effectiveness, efficiency and acceptance have been assessed with practitioners through a dedicated survey. Springer London 2022-09-16 2023 /pmc/articles/PMC9483507/ /pubmed/36157348 http://dx.doi.org/10.1007/s00766-022-00387-3 Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Astegher, M. Busetta, P. Gabbasov, A. Pedrotti, M. Perini, A. Susi, A. Specifying requirements for collection and analysis of online user feedback |
title | Specifying requirements for collection and analysis of online user feedback |
title_full | Specifying requirements for collection and analysis of online user feedback |
title_fullStr | Specifying requirements for collection and analysis of online user feedback |
title_full_unstemmed | Specifying requirements for collection and analysis of online user feedback |
title_short | Specifying requirements for collection and analysis of online user feedback |
title_sort | specifying requirements for collection and analysis of online user feedback |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483507/ https://www.ncbi.nlm.nih.gov/pubmed/36157348 http://dx.doi.org/10.1007/s00766-022-00387-3 |
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