Publications

@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:JISBD:2016,

title = {Una herramienta para evaluar el rendimiento de aplicaciones intensivas en datos},

author = {Abel G\'{o}mez and Jos\'{e} Merseguer},

editor = {Jes\'{u}s Garc\'{i}a Molina},

url = {http://hdl.handle.net/11705/JISBD/2016/026},

year  = {2016},

date = {2016-09-13},

booktitle = {Actas de las XXI Jornadas de Ingenier\'{i}a del Software y Bases de Datos (JISBD 2016)},

publisher = {SISTEDES},

address = {Salamanca, Spain},

abstract = {Las aplicaciones intensivas en datos (AID) que usan tecnolog\'{i}as de Big Data se est\'{a}n convirtiendo en una parte importante del mercado de desarrollo de software. Sin embargo, las t\'{e}cnicas --y su automatizaci\'{o}n-- para el asesoramiento de la calidad para este tipo de aplicaciones es claramente insuficiente. El proyecto DICE H2020 tiene como objetivo definir metodolog\'{i}as y crear herramientas para desarrollar y monitorizar AID mediante t\'{e}cnicas de ingenier\'{i}a dirigida por modelos. En este art\'{i}culo presentamos un componente clave del proyecto DICE: su herramienta de simulaci\'{o}n. Esta herramienta es capaz de evaluar el rendimiento de AID simulando su comportamiento mediante modelos de redes de Petri. Como complemento, existe a disposici\'{o}n un v\'{i}deo mostrando la herramienta en http://tiny.cc/z1qzay.},

keywords = {Computer Aided Design (CASE), Data-Intensive Applications (DIA), DICE, Model-Driven Engineering (MDE), Modeling and Analysis of Real Time and Embedded systems (MARTE), Petri net (PN), Simulation, UML Profiles, Unified Modeling Language (UML)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Gomez:QUDOS:2016,

title = {Towards a UML Profile for Data Intensive Applications},

author = {Abel G\'{o}mez and Jos\'{e} Merseguer and Elisabetta Di Nitto and Damian A. Tamburri},

doi = {10.1145/2945408.2945412},

isbn = {978-1-4503-4411-1},

year  = {2016},

date = {2016-07-21},

booktitle = {Proceedings of the 2nd International Workshop on Quality-Aware DevOps, co-located with ACM SIGSOFT International Symposium on Software Testing and Analysis 2016 (ISSTA'16)},

pages = {18--23},

publisher = {ACM},

address = {New York, NY, USA},

series = {QUDOS 2016},

abstract = {Data intensive applications that leverage Big Data technologies are rapidly gaining market trend. However, their design and quality assurance are far from satisfying software engineers needs. In fact, a CapGemini research shows that only 13% of organizations have achieved full-scale production for their Big Data implementations. We aim at addressing an early design and a quality evaluation of data intensive applications,being our goal to help software engineers on assessing quality metrics, such as the response time of theapplication. We address this goal by means of a quality analysis tool-chain.At the core of the tool, we are developing a Profile that converts the Unified Modeling Language into a domain specific modeling language for quality evaluation of data intensive applications. },

note = {Saarbr\"{u}cken, Germany},

keywords = {Computer Aided Design (CASE), Data-Intensive Applications (DIA), DICE, Model-Driven Engineering (MDE), Modeling and Analysis of Real Time and Embedded systems (MARTE), UML Profiles, Unified Modeling Language (UML)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Gomez:JCSD:2016,

title = {A Tool for Assessing Performance Requirements of Data-Intensive Applications},

author = {Abel G\'{o}mez and Christophe Joubert and Jos\'{e} Merseguer },

editor = {Miguel J. Hornos Barranco},

url = {https://abel.gomez.llana.me/wp-content/uploads/2017/11/gomez-jcsd-2016.pdf},

isbn = {978-84-16478-90-3},

year  = {2016},

date = {2016-06-15},

booktitle = {Actas de las XXIV Jornadas de Concurrencia y Sistemas Distribuidos (JCSD 2016)},

pages = {159--169},

publisher = {Godel S. L.},

address = {Granada, Spain},

abstract = {Big Data is becoming a core asset for present economy and businesses, and as such, Data-Intensive Applications (DIA) that use Big Data technologies are becoming crucial products in the software development market.  However, quality assurance of such applications is still an open issue. The H2020 DICE project aims to define a quality-driven framework for developing DIA based on model-driven engineering (MDE) techniques. In this paper we present a key component of the DICE Framework, the DICE Simulation Tool. The tool is able to simulate the behavior of a DIA to assess its performance using a Petri net model. To showcase its capabilities we use the Posidonia Operations case study, a real-world scenario brought from one of our industrial partners. In addition to this paper, a video demonstrating the tool is available at http://tiny.cc/z1qzay.

},

keywords = {Computer Aided Design (CASE), Data-Intensive Applications (DIA), DICE, Modeling and Analysis of Real Time and Embedded systems (MARTE), Petri net (PN), Posidonia Operations, UML Profiles, Unified Modeling Language (UML)},

pubstate = {published},

tppubtype = {conference}

}