Persona:
Heradio Gil, Rubén

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ORCID
0000-0002-7131-0482
Fecha de nacimiento
Proyectos de investigación
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Heradio Gil
Nombre de pila
Rubén
Nombre

Filtros

2011 - 201992020 - 202516
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Ajustes

search.filters.applied.f.itemDepartamento: Ingeniería de Software y Sistemas Informáticos × search.filters.applied.f.itemFacultad: E.T.S. de Ingeniería Informática ×

Resultados de la búsqueda

Mostrando 1 - 10 de 25
  • Miniatura
    Publicación
    Scalable Sampling of Highly-Configurable Systems: Generating Random Instances of the Linux Kernel
    (Association for Computing Machinery (ACM), 2023-01-05) Mayr Dorn, Christoph; Egyed, Alexander; Fernández Amoros, David José; Heradio Gil, Rubén
    Software systems are becoming increasingly configurable. A paradigmatic example is the Linux kernel, which can be adjusted for a tremendous variety of hardware devices, from mobile phones to supercomputers, thanks to the thousands of configurable features it supports. In principle, many relevant problems on configurable systems, such as completing a partial configuration to get the system instance that consumes the least energy or optimizes any other quality attribute, could be solved through exhaustive analysis of all configurations. However, configuration spaces are typically colossal and cannot be entirely computed in practice. Alternatively, configuration samples can be analyzed to approximate the answers. Generating those samples is not trivial since features usually have inter-dependencies that constrain the configuration space. Therefore, getting a single valid configuration by chance is extremely unlikely. As a result, advanced samplers are being proposed to generate random samples at a reasonable computational cost. However, to date, no sampler can deal with highly configurable complex systems, such as the Linux kernel. This paper proposes a new sampler that does scale for those systems, based on an original theoretical approach called extensible logic groups. The sampler is compared against five other approaches. Results show our tool to be the fastest and most scalable one.
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    A Rule-Learning Approach for Detecting Faults in Highly Configurable Software Systems from Uniform Random Samples
    (2022) Heradio Gil, Rubén; Fernández Amoros, David José; Ruiz Parrado, Victoria; Cobo, Manuel J.; https://orcid.org/0000-0003-2993-7705; http://orcid.org/ 0000-0001-6575-803X
    Software systems tend to become more and more configurable to satisfy the demands of their increasingly varied customers. Exhaustively testing the correctness of highly configurable software is infeasible in most cases because the space of possible configurations is typically colossal. This paper proposes addressing this challenge by (i) working with a representative sample of the configurations, i.e., a ``uniform'' random sample, and (ii) processing the results of testing the sample with a rule induction system that extracts the faults that cause the tests to fail. The paper (i) gives a concrete implementation of the approach, (ii) compares the performance of the rule learning algorithms AQ, CN2, LEM2, PART, and RIPPER, and (iii) provides empirical evidence supporting our procedure
  • Miniatura
    Publicación
    Pragmatic Random Sampling of the Linux Kernel: Enhancing the Randomness and Correctness of the conf Tool
    (Association for Computing Machinery, New York, 2024-09-02) Fernández Amoros, David José; Heradio Gil, Rubén; Horcas Aguilera, Jose Miguel; Galindo, José A.; Benavides, David; Fuentes, Lidia; https://orcid.org/0000-0003-3758-0195; https://orcid.org/0000-0002-5677-7156; https://orcid.org/0000-0002-8449-3273; https://orcid.org/0000-0001-9293-9784
    The configuration space of some systems is so large that it cannot be computed. This is the case with the Linux Kernel, which provides almost 19,000 configurable options described across more than 1,600 files in the Kconfig language. As a result, many analyses of the Kernel rely on sampling its configuration space (e.g., debugging compilation errors, predicting configuration performance, finding the configuration that optimizes specific performance metrics, etc.). The Kernel can be sampled pragmatically, with its built-in tool conf, or idealistically, translating the Kconfig files into logic formulas. The pros of the idealistic approach are that it provides statistical guarantees for the sampled configurations, but the cons are that it sets out many challenging problems that have not been solved yet, such as scalability issues. This paper introduces a new version of conf called randconfig+, which incorporates a series of improvements that increase the randomness and correctness of pragmatic sampling and also help validate the Boolean translation required for the idealistic approach. randconfig+ has been tested on 20,000 configurations generated for 10 different Kernel versions from 2003 to the present day. The experimental results show that randconfig+ is compatible with all tested Kernel versions, guarantees the correctness of the generated configurations, and increases conf’s randomness for numeric and string options.
  • Miniatura
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    Supporting the Statistical Analysis of Variability Models
    (Institute of Electrical and Electronics Engineers (IEEE), 2019-08-26) Mayr Dorn, Christoph; Egyed, Alexander; Heradio Gil, Rubén; Fernández Amoros, David José
    Variability models are broadly used to specify the configurable features of highly customizable software. In practice, they can be large, defining thousands of features with their dependencies and conflicts. In such cases, visualization techniques and automated analysis support are crucial for understanding the models. This paper contributes to this line of research by presenting a novel, probabilistic foundation for statistical reasoning about variability models. Our approach not only provides a new way to visualize, describe and interpret variability models, but it also supports the improvement of additional state-of-the-art methods for software product lines; for instance, providing exact computations where only approximations were available before, and increasing the sensitivity of existing analysis operations for variability models. We demonstrate the benefits of our approach using real case studies with up to 17,365 features, and written in two different languages (KConfig and feature models).
  • Miniatura
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    Exemplar driven development of software product lines
    (Elsevier, 2012-12-01) Heradio Gil, Rubén; Fernández Amoros, David José; Torre Cubillo, Luis de la; Abad Cardiel, Ismael
    The benefits of following a product line approach to develop similar software systems are well documented. Nevertheless, some case studies have revealed significant barriers to adopt such approach. In order to minimize the paradigm shift between conventional software engineering and software product line engineering, this paper presents a new development process where the products of a domain are made by analogy to an existing product. Furthermore, this paper discusses the capabilities and limitations of different techniques to implement the analogy relation and proposes a new language to overcome such limitations.
  • Miniatura
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    A SCADA oriented middleware for RFID technology
    (Elsevier, 2012-09-01) Abad Cardiel, Ismael; Heradio Gil, Rubén; Cerrada Somolinos, Carlos; Cerrada Somolinos, José Antonio
    Radio Frequency IDentification (RFID) has emerged as the new technology paradigm for acquisition and information management. RFID can be used to improve significantly the efficiency of business processes by providing the capability of automatic identification and data capture. This technology introduces new challenges on data and process information management in current systems. RFID data are timedependent and dynamically changing. In addition, data carry implicit semantics. The homogeneous data processing of such implicit semantics allows us to propose RFID middleware as a WHO–WHEN–WHERE data problem. This paper presents DEPCAS, a new middleware for RFID information based on the SCADA architecture for control systems. An application of DEPCAS is the resolution of heterogeneous situations, which solves the WHAT or context–aware to apply the auto identification data received from RFID systems in business applications.
  • Miniatura
    Publicación
    Finding Near-optimal Configurations in Colossal Spaces with Statistical Guarantees
    (Association for Computing Machinery (ACM), 2023-11-23) Oh, Jeho; Batory, Don; Heradio Gil, Rubén
    A Software Product Line (SPL) is a family of similar programs. Each program is defined by a unique set of features, called a configuration, that satisfies all feature constraints. “What configuration achieves the best performance for a given workload?” is the SPLOptimization (SPLO) challenge. SPLO is daunting: just 80 unconstrained features yield 1024 unique configurations, which equals the estimated number of stars in the universe. We explain (a) how uniform random sampling and random search algorithms solve SPLO more efficiently and accurately than current machine-learned performance models and (b) how to compute statistical guarantees on the quality of a returned configuration; i.e., it is within x% of optimal with y% confidence.
  • Miniatura
    Publicación
    Customized Online Laboratory Experiments: A General Tool and Its Application to the Furuta Inverted Pendulum [Focus on Education]
    (Institute of Electrical and Electronics Engineers (IEEE), 2019-09-17) Galán Vicente, Daniel; Chaos García, Dictino; Torre Cubillo, Luis de la; Aranda Escolástico, Ernesto; Heradio Gil, Rubén
    Because of online laboratories (labs), students can perform experimental activities from their mobile devices and/or computers. This article proposes an experimentation environment (EE) that extends the capabilities of interactive online labs with scripting language support. Thus, control engineering students can specify complex experiments, avoid routine tasks, and empirically test controllers they made themselves.
  • Miniatura
    Publicación
    Supporting commonality-based analysis of software product lines
    (Institution of Engineering and Technology (IET), 2011-03-24) Heradio Gil, Rubén; Fernández Amoros, David José; Cerrada Somolinos, José Antonio; Cerrada Somolinos, Carlos
    Software Product Line (SPL) engineering is a cost effective approach to developing families of similar products. Key to the success of this approach is to correctly scope the domain of the SPL, identifying the common and variable features of the products and the interdependencies between features. In this paper, we show how the commonality of a feature (i.e., the reuse ratio of the feature among the products) can be used to detect scope flaws in the early stages of development. SPL domains are usually modeled by means of feature diagrams following the FODA notation. We extend classical FODA trees with unrestricted cardinalities, and present an algorithm to compute the number of products modeled by a feature diagram and the commonality of the features. Finally, we compare the performance of our algorithm with two other approaches built on top of boolean logic SAT-solver technology such as cachet and relsat.
  • Miniatura
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    A literature review on feature diagram product counting and its usage in software product line economic models
    (World Scientific Publishing, 2013-10-01) Heradio Gil, Rubén; Fernández Amoros, David José; Cerrada Somolinos, José Antonio; Abad Cardiel, Ismael
    In software product line engineering, feature diagrams are a popular means to represent the similarities and differences within a family of related systems. In addition, feature diagrams implicitly model valuable information that can be used in economic models to estimate the cost savings of a product line. In particular, this paper reviews existing proposals on computing the total number of products modeled with a feature diagram and, given a feature, the number of products that implement it. The paper also reviews the economic information that can be estimated when such numbers are known. Thus, this paper contributes by bringing together previously-disparate streams of work: the automated analysis of feature diagrams and economic models for product lines.