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| Indexado |
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| DOI | 10.1145/2961111.2962621 | ||||
| Año | 2016 | ||||
| Tipo | proceedings paper |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Context. Many critical systems must meet safety compliance needs from safety standards. These standards are usually large textual documents whose compliance needs can be hard to understand. As a solution, the use of models has been proposed. Goal. We aim to provide evidence of the extent to which models improve the understanding of safety compliance needs. Method. We designed an experiment and ran a pilot to study the effectiveness, efficiency, and perceived benefits of understanding these needs, with the text of standards and with models in the form of UML object diagrams. Results. The overall results from 15 Bachelor students show that the effectiveness of understanding safety compliance needs increases very little with models (2%), and the efficiency even decreases (24%). Nonetheless, the results improve when the potential complexity in navigating the models is taken into account (15% effectiveness increase). The students find benefits in using the models but most consider that the models are hard to understand. Conclusions. The extent to which models improve the understanding of safety compliance needs seems to be lower than what the research community expects. New studies are necessary to confirm our initial insights.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | de la Vara, Jose | Hombre |
Universidad Carlos III de Madrid - España
Carlos III Univ Madrid - España |
| 2 | MARIN-CAMPUSANO, BEATRIZ MARIELA | Mujer |
Universidad Nacional Andrés Bello - Chile
Universidad Diego Portales - Chile |
| 3 | Giachetti, Giovanni | Hombre |
Universidad Nacional Andrés Bello - Chile
|
| 4 | Ayora, Clara | Mujer |
Independent Researcher - España
|
| 5 | ACM | Corporación |
| Fuente |
|---|
| Horizon 2020 Framework Programme |
| AMASS project (Spain's MINECO) |
| AMoDDI project |
| AMASS project (H2020-ECSEL) |