Making Self-Adaptive Systems More Verifiable
Making Self-Adaptive Systems More Verifiable
dc.contributor.author | Asteasuain, Fernando | |
dc.date.accessioned | 2024-10-03T11:30:05Z | |
dc.date.available | 2024-10-03T11:30:05Z | |
dc.date.issued | 2023-11 | |
dc.description.abstract | Property Adaptation patterns were proposed as a technique to empower the application of formal verification mechanisms to detect and modify behavior in Self-Adaptive Systems. In this work the graphical and declarative language FVS (Feather weight Visual Scenarios) is proposed as a flexible and expressive formalism to specify all the adaption patterns. FVS distinguishable features allow performing the verification process in Self-Adaptive systems in a simple and straightforward manner. This work provides a full specification of the Adaptation patterns in FVS. | |
dc.identifier.citation | Asteasuain, Fernando (2023) Making Self-Adaptive Systems More Verifiable. En: Gabriela Ivana Aparicio [et al.]. XI Congreso Nacional de Ingeniería en Informática y Sistemas de Información : CoNaIISI 2023. [pp. 576-581]. edUTecNe. | |
dc.identifier.isbn | 978-987-8992-38-9 | |
dc.identifier.uri | https://repositorio.uai.edu.ar/handle/123456789/3089 | |
dc.language.iso | en | |
dc.publisher | edUTecNe | |
dc.subject | formal verification | |
dc.subject | SAS | |
dc.subject | Self-Adaptive System | |
dc.title | Making Self-Adaptive Systems More Verifiable | |
dc.type | DOCUMENTOCONF |
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- Fernando Asteasuain (2023). “Making Self-Adaptive Systems More Verifiable”. Congreso Nacional de Ingeniería Informática / Sistemas de Información CoNaIISI 2023. Departamento Sistemas de Información de la Facultad Regional Tucumán - Universidad Tecnológica Nacional, Argentina. San Miguel de Tucumán. 2 y 3 de Noviembre de 2023.
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