Publicação
Process Modeling Notations: A study on BPMN and alternatives
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Rio, José Américo Alves Sustelo | |
| dc.contributor.author | Guerreiro, Andreia Tatiana da Silva | |
| dc.date.accessioned | 2025-11-07T15:29:01Z | |
| dc.date.available | 2025-11-07T15:29:01Z | |
| dc.date.issued | 2025-10-28 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics | pt_PT |
| dc.description.abstract | As businesses grow and form new alliances, their processes become increasingly complex. Despite being the de facto standard for modeling business processes, BPMN started to struggle to keep pace with the modern and dynamic business environments. As users start searching for alternatives, they are unsure of which ones to select. To help them, we interviewed several process modeling experts and conducted two online surveys, one targeted at more experts and another at university students with BPM-related courses, gathering over 100 responses from individuals with different backgrounds, insights, and experiences with process modeling notations. Our findings reveal that BPMN, Flowcharts, and UML are the most commonly used process modeling notations among experts and university students enrolled in BPM-related courses. We compiled a table of general guidelines to help all users select the most suitable notation based on the industry and project aspects, such as scale, duration, and flexibility, while including their advantages and limitations. We also created a Decision Tree to predict the most appropriate notations for each user based on the same aspects of the previous table. Additionally, we conducted cluster analysis that revealed three groups of experts, based on their workforce demographics, each with distinct characteristics and preferences for process modeling notations. We are pleased to contribute to the field with three new tools to help all users in their search for the most suitable process modeling notation, and to see how our findings align with those of previous studies. | pt_PT |
| dc.identifier.tid | 204072344 | |
| dc.identifier.uri | http://hdl.handle.net/10362/190284 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Process modeling notations | pt_PT |
| dc.subject | BPMN | pt_PT |
| dc.subject | BPMN alternatives | pt_PT |
| dc.subject | Process modeling notation guidelines | pt_PT |
| dc.subject | Combining process modeling notations | pt_PT |
| dc.subject | SDG 4 - Quality education | pt_PT |
| dc.subject | SDG 9 - Industry, innovation and infrastructure | pt_PT |
| dc.title | Process Modeling Notations: A study on BPMN and alternatives | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Business Analytics | pt_PT |