Publications

@article{Gomez:SoSym:2021,

title = {Model-driven development of asynchronous message-driven architectures with AsyncAPI},

author = {Abel G\'{o}mez and Markel Iglesias-Urkia and Lorea Belategi and Xabier Mendialdua and Jordi Cabot},

doi = {10.1007/s10270-021-00945-3},

year  = {2022},

date = {2022-08-01},

urldate = {2022-08-01},

journal = {Software and Systems Modeling},

volume = {21},

pages = {1583\textendash1611 },

publisher = {Springer Science and Business Media LLC},

abstract = {In the Internet-of-Things (IoT) vision, everyday objects evolve into cyber-physical systems. The massive use and deployment of these systems has given place to the Industry 4.0 or Industrial IoT (IIoT). Due to its scalability requirements, IIoT architectures are typically distributed and asynchronous. In this scenario, one of the most widely used paradigms is publish/subscribe, where messages are sent and received based on a set of categories or topics. However, these architectures face interoperability challenges. Consistency in message categories and structure is the key to avoid potential losses of information. Ensuring this consistency requires complex data processing logic both on the publisher and the subscriber sides. In this paper, we present our proposal relying on AsyncAPI to automate the design and implementation of these asynchronous architectures using model-driven techniques for the generation of (part of) message-driven infrastructures. Our proposal offers two different ways of designing the architectures: either graphically, by modeling and annotating the messages that are sent among the different IoT devices, or textually, by implementing an editor compliant with the AsyncAPI specification. We have evaluated our proposal by conducting a set of experiments with 25 subjects with different expertise and background. The experiments show that one-third of the subjects were able to design and implement a working architecture in less than an hour without previous knowledge of our proposal, and an additional one-third estimated that they would only need less than two hours in total.},

keywords = {AsyncAPI, Cyber-Physical Systems (CPS), Internet of Things (IoT), Publish-Subscribe},

pubstate = {published},

tppubtype = {article}

}

@conference{Gomez:JISBD:2022,

title = {Hacia la (semi)automatizaci\'{o}n en la Industria 4.0 mediante UML y AsyncAPI},

author = {Abel G\'{o}mez and Jordi Cabot and Xavier Pi},

editor = {A. Go\~{n}i Sarriguren},

url = {http://hdl.handle.net/11705/JISBD/2022/572},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {Actas de las XXVI Jornadas de Ingenier\'{i}a del Software y Bases de Datos (JISBD 2022)},

publisher = {SISTEDES},

abstract = {El uso y despliegue de los llamados sistemas ciberf\'{i}sicos ha calado profundamente en la industria, dando lugar a la Industria 4.0. T\'{i}picamente, las arquitecturas de la Industria 4.0 muestran un acoplamiento muy bajo entre sus componentes, siendo distribuidas, as\'{i}ncronas, y gui\'{a}ndose la comunicaci\'{o}n por eventos. Estas caracter\'{i}sticas, diferentes de las de arquitecturas que hasta ahora eran el foco de las t\'{e}cnicas de modelado, conllevan la necesidad de dotar a la Industria 4.0 de nuevos lenguajes y herramientas que permitan un desarrollo m\'{a}s eficiente y preciso. En este art\'{i}culo, proponemos el uso de UML para el modelado de este tipo de arquitecturas y una serie de transformaciones que permiten automatizar su procesamiento. M\'{a}s concretamente, presentamos un perfil UML para la Industria 4.0, as+AO0 como una transformaci\'{o}n de modelos capaz de generar una descripci\'{o}n abstracta \textemdashempleando la especificaci\'{o}n AsyncAPI\textemdash de las interfaces de programaci\'{o}n que subyacen a la arquitectura. A partir de dicha descripci\'{o}n abstracta en AsyncAPI, generamos el c\'{o}digo que dan soporte a dichas interfaces de forma autom\'{a}tica.},

keywords = {AsyncAPI, Industry, Model Transformation (MT), Publish-Subscribe, UML Profiles, Unified Modeling Language (UML)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Gomez:MODELS:2020,

title = {A model-based approach for developing event-driven architectures with AsyncAPI},

author = {Abel G\'{o}mez and Markel Iglesias-Urkia and Aitor Urbieta and Jordi Cabot },

url = {https://abel.gomez.llana.me/wp-content/uploads/2020/10/gomez-models-2020.pdf},

doi = {10.1145/3365438.3410948},

isbn = {9781450370196},

year  = {2020},

date = {2020-10-01},

booktitle = {Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems},

pages = {121-131},

publisher = {Association for Computing Machinery},

address = {Virtual Event, Canada},

abstract = {In this Internet of Things (IoT) era, our everyday objects have evolved into the so-called cyber-physical systems (CPS). The use and deployment of CPS has especially penetrated the industry, giving rise to the Industry 4.0 or Industrial IoT (IIoT). Typically, architectures in IIoT environments are distributed and asynchronous, communication being guided by events such as the publication of (and corresponding subscription to) messages.While these architectures have some clear advantages (such as scalability and flexibility), they also raise interoperability challenges among the agents in the network. Indeed, the knowledge about the message content and its categorization (topics) gets diluted, leading to consistency problems, potential losses of information and complex processing requirements on the subscriber side to try to understand the received messages.In this paper, we present our proposal relying on AsyncAPI to automate the design and implementation of these architectures using model-based techniques for the generation of (part of) event-driven infrastructures. We have implemented our proposal as an open-source tool freely available online.},

keywords = {AsyncAPI, Asynchronous Architechtures, Model-Driven Engineering (MDE)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Gomez:JISBD:2019b,

title = {Una Aproximaci\'{o}n Basada en Modelos para la Definici\'{o}n de Arquitecturas As\'{i}ncronas},

author = {Abel G\'{o}mez and Iker Fernandez de Larrea and Markel Iglesias-Urkia and Beatriz Lopez-Davalillo and Aitor Urbieta and Jordi Cabot},

editor = {Jennifer P\'{e}rez},

url = {http://hdl.handle.net/11705/JISBD/2019/035},

year  = {2019},

date = {2019-09-02},

booktitle = {Actas de las XXIV Jornadas de Ingenier\'{i}a del Software y Bases de Datos (JISBD 2019)},

publisher = {Sistedes},

abstract = {En la nueva era del Internet de las cosas (IoT), nuestros objetos cotidianos se han convertido en los llamados sistemas ciberf\'{i}sicos (CPS). El uso y despliegue de los CPS ha calado especialmente en la industria, dando lugar a la llamada Industria 4.0 o IoT Industrial (IIoT). T\'{i}picamente, las arquitecturas IIoT son distribuidas y as\'{i}ncronas, estando la comunicaci\'{o}n guiada por eventos como por ejemplo la publicaci\'{o}n (y correspondiente suscripci\'{o}n) a mensajes. No obstante, las mejoras en escalabilidad y tolerancia al cambio de estas arquitecturas tienen sus desventajas, y es f\'{a}cil que el conocimiento sobre los mensajes y su categorizaci\'{o}n (topics) se diluya entre los elementos de la arquitectura, dando lugar a problemas de interoperabilidad entre los agentes implicados. En este art\'{i}culo, presentamos nuestra propuesta para automatizar el dise\~{n}o e implementaci\'{o}n de estas arquitecturas mediante t\'{e}cnicas basadas en modelos. Para ello nos apoyamos en AsyncAPI, una propuesta para la especificaci\'{o}n de API dirigidas por mensajes.},

keywords = {AsyncAPI, Asynchronous Architechtures, Cyber-Physical Systems (CPS), Publish-Subscribe},

pubstate = {published},

tppubtype = {conference}

}