World's Best Scientists 2026 revealed!
David Benavides

David Benavides

D-Index & Metrics

Computer Science

D-Index
35
Citations
7001
World Ranking
11526
National Ranking
200

Overview

David Benavides is affiliated with the University of Seville in Spain. Their research primarily spans the field of Computer Science, with a significant focus on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications, and Computer Science Applications.

The scientist's work covers multiple key topics, including:

  • Advanced Software Engineering Methodologies
  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Service-Oriented Architecture and Web Services
  • AI-based Problem Solving and Planning

David Benavides has published research in several frequent venues, demonstrating a consistent presence in the academic community. These venues include:

  • Journal of Systems and Software
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Empirical Software Engineering
  • SoftwareX

Among recent papers aligned with their field, the following are notable:

  • UVL: Feature modelling with the Universal Variability Language, 2025, Journal of Systems and Software
  • Uniform and scalable sampling of highly configurable systems, 2022, Empirical Software Engineering
  • Using Scratch to Improve Learning Programming in College Students: A Positive Experience from a Non-WEIRD Country, 2021, Electronics
  • Open Source Adoption Factors-A Systematic Literature Review, 2020, IEEE Access
  • Empirical software product line engineering: A systematic literature review, 2020, Information and Software Technology

Frequent collaborators include:

  • José Á. Galindo
  • Alexander Felfernig
  • José-Miguel Horcas
  • Rubén Heradio
  • Andreas Falkner

David Benavides is also an author of book publications, including the title "Feature Models" published in 2024 by Springer Nature.

Best Publications

  • Automated analysis of feature models 20 years later: A literature review

    David Benavides;Sergio Segura;Antonio Ruiz-Cortés

  • Automated reasoning on feature models

    David Benavides;Pablo Trinidad;Antonio Ruiz-Cortés

  • Automated analysis of feature models: challenges ahead

    Don Batory;David Benavides;Antonio Ruiz-Cortes

  • Fama: Tooling a Framework for the Automated Analysis of Feature Models

    David Benavides;Sergio Segura;Pablo Trinidad;Antonio Ruiz Cortés

  • Automated error analysis for the agilization of feature modeling

    P. Trinidad;D. Benavides;A. Durán;A. Ruiz-Cortés

  • Automated Diagnosis of Product-Line Configuration Errors in Feature Models

    J. White;D.C. Schmidt;D. Benavides;P. Trinidad

  • Software diversity: state of the art and perspectives

    Ina Schaefer;Rick Rabiser;Dave Clarke;Lorenzo Bettini

  • Automated reasoning for multi-step feature model configuration problems

    Jules White;Brian Dougherty;Doulas C. Schmidt;David Benavides

  • BeTTy: benchmarking and testing on the automated analysis of feature models

    Sergio Segura;José A. Galindo;David Benavides;José A. Parejo

  • FAMA Framework

    P. Trinidad;D. Benavides;A. Ruiz-Cortes;S. Segura

  • Automated diagnosis of feature model configurations

    J. White;D. Benavides;D. C. Schmidt;P. Trinidad

  • Using Constraint Programming to Reason on Feature Models

    David Benavides;Pablo Trinidad;Antonio Ruiz Cortés

  • A Survey on the Automated Analyses of Feature Models.

    David Benavides;Antonio Ruiz Cortés;Pablo Trinidad;Sergio Segura

  • Using java CSP solvers in the automated analyses of feature models

    David Benavides;Sergio Segura;Pablo Trinidad;Antonio Ruiz-Cortés

  • Automated metamorphic testing on the analyses of feature models

    Sergio Segura;Robert M. Hierons;David Benavides;Antonio Ruiz-Cortés

  • Automated Merging of Feature Models Using Graph Transformations

    Sergio Segura;David Benavides;Antonio Ruiz-Cortés;Pablo Trinidad

  • An assessment of search-based techniques for reverse engineering feature models

    Roberto E. Lopez-Herrejon;Lukas Linsbauer;José A. Galindo;José A. Parejo

  • Evolving feature model configurations in software product lines

    Jules White;José A. Galindo;Tripti Saxena;Brian Dougherty

  • Automated Reasoning on Feature Models

    David Benavides;Pablo Trinidad Martín-Arroyo;Antonio Ruiz-Cortés

  • Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach

    Sergio Segura;Robert M. Hierons;David Benavides;Antonio Ruiz-Cortés

Frequent Co-Authors

Antonio Ruiz-Cortés
Antonio Ruiz-Cortés University of Seville
Alexander Felfernig
Alexander Felfernig Graz University of Technology
Don Batory
Don Batory The University of Texas at Austin
Rick Rabiser
Rick Rabiser Johannes Kepler University of Linz
Jules White
Jules White Vanderbilt University
Robert M. Hierons
Robert M. Hierons University of Sheffield
Paul Grünbacher
Paul Grünbacher Johannes Kepler University of Linz
Douglas C. Schmidt
Douglas C. Schmidt William & Mary
Miguel A. Toro
Miguel A. Toro Technical University of Madrid
Benoit Baudry
Benoit Baudry University of Montreal

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in STEM fields can significantly expand your career opportunities. For students interested in broadening their knowledge, the best online physics degree programs provide a flexible and affordable pathway into scientific research and technology roles.

Data continues to drive innovation across industries, making advanced studies highly valuable. If you’re aiming to specialize further, checking out the cheapest master in data science options is a smart move. These programs offer rigorous training in big data without the usual financial burden.

Engineering careers remain in high demand, and pursuing an online electrical engineering degree ranking can help you find top programs with flexible learning formats and strong job prospects after graduation.

For those looking to join the workforce quickly or gain an edge, there are also 3-month certificate programs that pay well. These short-term credentials are a practical way to boost your employability and enter high-paying tech roles with minimal time investment.

Best Scientists Citing David Benavides

Trending Scientists