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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