Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/10609/122866
Títol: Profiling the publish/subscribe paradigm for automated analysis using colored Petri nets
Autoria: Gómez Llana, Abel
Rodríguez, Ricardo J.
Cambronero, María Emilia
Valero, Valentín
Altres: Academia General Militar
Universidad de Castilla la Mancha
Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Citació: Rodríguez, R.J., Gómez, A., Cambronero, M.E. & Valero, V. (2019). Profiling the publish/subscribe paradigm for automated analysis using colored Petri nets. Software & Systems Modeling, 18(), 2973-3003. doi: 10.1007/s10270-019-00716-1
Resum: UML sequence diagrams are used to graphically describe the message interactions between the objects participating in a certain scenario. Combined fragments extend the basic functionality of UML sequence diagrams with control structures, such as sequences, alternatives, iterations, or parallels. In this paper, we present a UML profile to annotate sequence diagrams with combined fragments to model timed Web services with distributed resources under the publish/subscribe paradigm. This profile is exploited to automatically obtain a representation of the system based on Colored Petri nets using a novel model-to-model (M2M) transformation. This M2M transformation has been specified using QVT and has been integrated in a new add-on extending a state-of-the-art UML modeling tool. Generated Petri nets can be immediately used in well-known Petri net software, such as CPN Tools, to analyze the system behavior. Hence, our model-to-model transformation tool allows for simulating the system and finding design errors in early stages of system development, which enables us to fix them at these early phases and thus potentially saving development costs.
Paraules clau: UML 2.5
recursos distribuïts
publicar/subscriure
anàlisi automatitzat
WSRF
WSN
xarxes de Petri acolorides
CPN Tools
DOI: 10.1007/s10270-019-00716-1
Tipus de document: info:eu-repo/semantics/article
Versió del document: info:eu-repo/semantics/publishedVersion
Data de publicació: 1-oct-2019
Llicència de publicació: http://creativecommons.org/licenses/by/4.0/es/  
Apareix a les col·leccions:Articles cientÍfics
Articles

Arxius per aquest ítem:
Arxiu Descripció MidaFormat 
Gomez_SSM_2019_Profiling.pdf4,9 MBAdobe PDFThumbnail
Veure/Obrir
Comparteix:
Exporta:
Consulta les estadístiques

Aquest ítem està subjecte a una llicència de Creative Commons Llicència Creative Commons Creative Commons