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El autor Antonio Vallecillo ha publicado 15 artículo(s):

1 - Analysis of the Scientific Production of the Spanish Software Engineering Community

Our group has been working on a report for the SpanishúSociety of Software Engineering and Software Development Technologies (SISTEDES) to provide a general overview of the Spanish scientificúproduction and its contributions worldwide in the field of Software Engineering. Although a Database solution could have been used, we decidedúto employ Model-Driven Development (MDD) techniques in order toúevaluate their applicability, suitability and fitness for these kinds of purposes, and to learn from the experience in this domain, which combinesúdata integration, large scale models, and complex queries.

Autores: Loli Burgueño / Antonio Moreno-Delgado / Antonio Vallecillo / 
Palabras Clave: MDD - scientific contribution - SISTEDES - software engineering - Spain

2 - Primitive Operators for the Concurrent Execution of Model Transformations Based on LinTra

Performance and scalability of model transformations are becoming prominent topics in Model-Driven Engineering. In previous work, we introduced LinTra, a platform for executing out-place model transformations in parallel. LinTra is based on the Linda coordination language for archiving concurrency and distribution and is intended to be used as a middleware where high-level model transformation languages (such as ATL and QVT) are compiled. To define modularly the compilation, this paper presents a minimal, yet sufficient, collection of primitive operators that can be composed to (re-)construct any out-place, unidirectional model transformation language (MTL). These primitives enable any MTL to be executed in parallel in a transparent way, without altering the original transformation.

Autores: Loli Burgueño / Antonio Vallecillo / Eugene Syriani / Jeff Gray / Manuel Wimmer / 
Palabras Clave: LinTra - Model Transformation - Primitives

3 - Introducing Approximate Model Transformations

Model transformations dealing with very large models need to count on mechanisms and tools to be able to manage them. The usual approach to improve performance in these cases has focused on the use of concurrency and parallelization techniques, which aim at producing the correct output model(s). In this paper we present our initial approach to produce target models that are accurate enough to provide meaningful and useful results, in an efficient way, but without having to be fully correct. We introduce the concept of Approximate Model Transformations.

Autores: Javier Troya / Antonio Vallecillo / 
Palabras Clave: Approximation - Model Transformation - Performance

4 - Concurrent Model Transformations with Linda

Nowadays, model transformations languages and engines use a sequential execution model. This is, only one execution thread deals with the whole transformation. However, model transformations dealing with very large models, such as those used in biology or aerospace applications, require concurrent solutions in order to speed up their performance. In this ongoing work we explore the use of Linda for implementing a set of basic mechanisms to enable concurrent model transformations, and present our initial results.

Autores: Loli Burgueño / Javier Troya / Antonio Vallecillo / 
Palabras Clave: Concurrency - Linda - Model Transformation

5 - On the Modular Specification of NFPs: A Case Study

The modular specification of non-functional properties of systems is a current challenge of Software Engineering, for which no clear solution exists. However, in the case of Domain-Specific Languages some successful proposals are starting to emerge, combining model-driven techniques with aspect-weaving mechanisms. In this paper we show one of these approaches in practice, and present the implementation we have developed to fully support it. We apply our approach for the specification and monitoring of non-functional properties using observers to a case study, illustrating how generic observers defining nonfunctional properties can be defined in an independent manner. Then, correspondences between these observers and the domain-specific model of the system can be established, and then weaved into a unified system specification using an ATL model transformation. Such a unified specification can also be analyzed in a natural way to obtain the required non-functional properties of the system.

Autores: Antonio Moreno-Delgado / Javier Troya / Francisco Durán / Antonio Vallecillo / 
Palabras Clave: Domain Specific Languages - model transformations - Non-functional Properties - weaving mechanisms

6 - On the Modular Specification of Non-Functional Properties in DSVLs

In previous work we have presented an approach to monitor nonfunctional properties of systems modeled in terms of domain specific visual languages using observers. In this work we present an approach to decouple the definition of observers behavior and systems behavior. Having a library with different kinds of observers behavior, and having the behavioral definition of the system, weaving links can be established among them in order to include observers in the system behavioral specification.

Autores: Javier Troya / Antonio Vallecillo / Francisco Durán / 
Palabras Clave: DSVLs - observers - weaving mechanisms

7 - Prueba de Transformaciones de Modelos con TractsTool

Las tranformaciones de modelos son un elemento esencial en la Ingeniería Dirigida por Modelos (Model-driven Engineering, MDE) y por ello una tarea que está cobrando relevancia es probar su corrección. Los Tracts ofrecen un enfoque modular y extensible para la especificación y verificación de transformaciones de modelos. Este trabajo presenta TractsTool, una herramienta desarrollada en Eclipse que implementa los mecanismos que proporcionan los Tracts.

Autores: Manuel Wimmer / Loli Burgueño / Antonio Vallecillo / 
Palabras Clave: MDE - Tracts - Transformaciones de Modelos

8 - Prototyping Component-Based Self-Adaptive Systems with Maude

Software adaptation is becoming increasingly important as more and more applications need to dynamically adapt their structure and behavior to cope with changing contexts, available resources and user requirements. Maude is a high-performance reflective language and system, supporting both equational and rewriting logic specification and programming for a wide range of applications. In this paper we describe our experience in using Maude for prototyping component-based self-adaptive systems so that they can be formally simulated and analyzed. In order to illustrate the benefits of using Maude in this context, a case study in the robotics domain is presented.

Autores: Juan F. Inglés-Romero / Cristina Vicente-Chicote / Javier Troya / Antonio Vallecillo / 
Palabras Clave: component-based architecture - Maude - prototyping - Self-Adaptation

9 - Incertidumbre de Datos en el Modelado de Procesos de Negocio

Este artículo describe nuestro trabajo en curso sobre el modelado de procesos de negocio teniendo en cuenta la incertidumbre de los datos. Esto es un aspecto esencial para modelar con mayor precisión y fidelidad procesos industriales en donde ciertos parámetros –como la duración de las tareas o el coste de algunos recursos– no pueden determinarse con exactitud, pero son necesarios tenerlos en cuenta a la hora de analizar los sistemas.

Autores: Priscill Orue / Carmen Morcillo / Antonio Vallecillo / 
Palabras Clave:

10 - A Linda-based Platform for the Parallel Execution of Out-place Model Transformations

Context: The performance and scalability of model transformations is gaining interest as industry is progressively adopting model-driven techniques and multicore computers are becoming commonplace. However, existing model transformation engines are mostly based on sequential and in-memory execution strategies, and thus their capabilities to transform large models in parallel and distributed environments are limited. Objective: This paper presents a solution that provides concurrency and distribution to model transformations. Method: Inspired by the concepts and principles of the Linda coordination language, and the use of data parallelism to achieve parallelization, a novel Java-based execution platform is introduced. It offers a set of core features for the parallel execution of out-place transformations that can be used as a target for high-level transformation language compilers. Results: Significant gains in performance and scalability of this platform are reported with regard to existing model transformation solutions. These results are demonstrated by running a model transformation test suite, and by its comparison against several state-of-the-art model transformation engines. Conclusion: Our Linda-based approach to the concurrent execution of model transformations can serve as a platform for their scalable and efficient implementation in parallel and distributed environments.

Autores: Loli Burgueño / Manuel Wimmer / Antonio Vallecillo / 
Palabras Clave: Model Transformation - Parallelization - Performance - Scalability

11 - Confianza e Incertidumbre en Modelos y Transformaciones de Modelos

La incertidumbre, tanto en los datos como en los mecanismos que manipulan y operan sobre ellos, es un tema crucial en sistemas que trabajan con entornos físicos. Una incertidumbre que puede ser debida a diversos factores, como fuentes de datos poco fiables, tolerancia en las mediciones o la incapacidad para determinar si un determinado evento ha sucedido realmente o no. En este trabajo proponemos el uso de modelos con confianza, donde los objetos pueden llevar asociadas probabilidades. Al igual que en los modelos, la incertidumbre puede trasladarse a las transformaciones de modelos, donde las reglas también pueden estar sujetas a incertidumbre.

Autores: Loli Burgueño / Gala Barquero / Nathalie Moreno / Manuel F. Bertoa / Antonio Vallecillo / 
Palabras Clave: Confianza - Incertidumbre - MDE - Modelos - Transformaciones de Modelos

12 - Preprocesado de flujos de datos para aprendizaje automático mediante reglas CEP

El procesamiento de flujos de información constituye un área de gran relevancia dentro de la gestión de datos, pues sus métodos deben ser ágiles y eficientes para soportar el volumen y la velocidad con la que los datos se generan actualmente. Las técnicas de minería de datos han necesitado adaptarse a estas circunstancias, que no solo afectan al modo en el que se aprende de los datos, sino también a la preparación de los mismos. En este contexto, los sistemas de procesamiento de eventos complejos (CEP) pueden facilitar el tratamiento de los datos en tiempo real. Este trabajo propone abordar el preprocesamiento de flujos de datos mediante CEP. El estudio experimental revela que los datos, convenientemente transformados y enriquecidos con información temporal, mejoran la predicción de los algoritmos de aprendizaje automático.

Autores: Aurora Ramírez / Nathalie Moreno / Manuel F. Bertoa / Antonio Vallecillo / 
Palabras Clave: Aprendizaje automático - Flujos de datos - preprocesado - procesamiento de eventos complejos

13 - Testing Models and Model Transformations Using Classifying Terms

Título: Testing Models and Model Transformations Using Classifying TermsAutores: Frank Hilken, Martin Gogolla, Loli Burgueño, Antonio VallecilloRevista: Software and System Modeling (Sosym)Número: 17(3)Fecha de publicación: Julio 2018Páginas: 885-912DOI: 10.1007/s10270-016-0568-3Indicios de calidad:-Factor de impacto: 1.722 (Q2)- Número de citas: 16 (según GSholar)

Autores: Frank Hilken / Martin Gogolla / Loli Burgueño / Antonio Vallecillo / 
Palabras Clave: Contract-based specifications - Equivalence partitioning - model transformations

14 - Generación automática de pruebas exhaustivas a partir modelos con contratos

La complejidad de los sistemas ciberfísicos hacen necesario mejores sistemas de prueba, y en particular su automatización. Este articulo propone el uso de las Pruebas basadas en modelos para la generación automática de pruebas exhaustivas a partir de las pre- y postcondiciones de las operaciones, y de sus invariantes.

Autores: José Díaz Gaspar / Paula Muñoz / Antonio Vallecillo / 
Palabras Clave: Diseño basado en contratos - Generación automática de pruebas - model-based testing

15 - Improving query performance on dynamic graphs

Querying large models efficiently often imposes high demands on system resources such as memory, processing time, disk access or network latency. The situation becomes more complicated when data are highly interconnected, e.g. in the form of graph structures, and when data sources are heterogeneous, partly coming from dynamic systems and partly stored in databases. These situations are now common in many existing social networking applications and geo-location systems, which require specialized and efficient query algorithms in order to make informed decisions on time. In this paper, we propose an algorithm to improve the memory consumption and time performance of this type of queries by reducing the amount of elements to be processed, focusing only on the information that is relevant to the query but without compromising the accuracy of its results. To this end, the reduced subset of data is selected depending on the type of query and its constituent filters. Three case studies are used to evaluate the performance of our proposal, obtaining significant speedups in all cases.

Autores: Gala Barquero / Javier Troya / Antonio Vallecillo / 
Palabras Clave: Data queries - Data stream processing - Dynamic graphs - Performance optimization - Precomputing systems