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An Evaluation of the Intuitiveness of the PGA Modeling Language Notation
The Process-Goal Alignment (PGA) modeling method is a domain-specific modeling language that aims to achieve strategic fit of the business strategy with the internal infrastructure and processes. To ensure the acceptance and correct understanding of PGA models by business-oriented end-users, an intu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254559/ http://dx.doi.org/10.1007/978-3-030-49418-6_27 |
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author | Roelens, Ben Bork, Dominik |
author_facet | Roelens, Ben Bork, Dominik |
author_sort | Roelens, Ben |
collection | PubMed |
description | The Process-Goal Alignment (PGA) modeling method is a domain-specific modeling language that aims to achieve strategic fit of the business strategy with the internal infrastructure and processes. To ensure the acceptance and correct understanding of PGA models by business-oriented end-users, an intuitively understandable notation is of paramount importance. However, the current PGA notation was not formally tested up to now. In the paper at hand, we apply an evaluation technique for testing the intuitiveness of domain-specific modeling languages to bridge that research gap. Based on an analysis of the tasks, we propose improvements to six elements of the initial PGA notation. Our research contributes a comprehensive description of the empirical modeling language evaluation, which enables the reproducibility of the evaluation procedure by the conceptual modeling community. |
format | Online Article Text |
id | pubmed-7254559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72545592020-05-28 An Evaluation of the Intuitiveness of the PGA Modeling Language Notation Roelens, Ben Bork, Dominik Enterprise, Business-Process and Information Systems Modeling Article The Process-Goal Alignment (PGA) modeling method is a domain-specific modeling language that aims to achieve strategic fit of the business strategy with the internal infrastructure and processes. To ensure the acceptance and correct understanding of PGA models by business-oriented end-users, an intuitively understandable notation is of paramount importance. However, the current PGA notation was not formally tested up to now. In the paper at hand, we apply an evaluation technique for testing the intuitiveness of domain-specific modeling languages to bridge that research gap. Based on an analysis of the tasks, we propose improvements to six elements of the initial PGA notation. Our research contributes a comprehensive description of the empirical modeling language evaluation, which enables the reproducibility of the evaluation procedure by the conceptual modeling community. 2020-05-05 /pmc/articles/PMC7254559/ http://dx.doi.org/10.1007/978-3-030-49418-6_27 Text en © Springer Nature Switzerland AG 2020 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 | Article Roelens, Ben Bork, Dominik An Evaluation of the Intuitiveness of the PGA Modeling Language Notation |
title | An Evaluation of the Intuitiveness of the PGA Modeling Language Notation |
title_full | An Evaluation of the Intuitiveness of the PGA Modeling Language Notation |
title_fullStr | An Evaluation of the Intuitiveness of the PGA Modeling Language Notation |
title_full_unstemmed | An Evaluation of the Intuitiveness of the PGA Modeling Language Notation |
title_short | An Evaluation of the Intuitiveness of the PGA Modeling Language Notation |
title_sort | evaluation of the intuitiveness of the pga modeling language notation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254559/ http://dx.doi.org/10.1007/978-3-030-49418-6_27 |
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