José A. Galindo Receives a Most Influential Paper Award at VARIABILITY 2026

José A. Galindo Receives a Most Influential Paper Award at VARIABILITY 2026

Announcement, Doctors, Paper news, Product lines, Projects
José A. Galindo, researcher at Diverso Lab and the Department of Computer Languages and Systems of the University of Seville, has received a Most Influential Paper (MIP) award at VARIABILITY 2026, held in Limassol, Cyprus, from 29 September to 2 October. The award recognises "Using Machine Learning to Infer Constraints for Product Lines" (Paul Temple, José A. Galindo, Mathieu Acher and Jean-Marc Jézéquel), presented at SPLC 2016 in Beijing. https://dl.acm.org/doi/abs/10.1145/2934466.2934472What sets an MIP apart is its timing. It is not awarded when a paper is published, but ten years later, when a committee can look back and judge which contributions actually shaped the field.The paper addressed a long-standing problem in variability-intensive systems: finding a set of constraints that is both precise, allowing every correct configuration, and complete, never allowing a…
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Esther Rocío Valladolid presents UVL-based variability modelling of drone propellers at MODEVAR 2026

Esther Rocío Valladolid presents UVL-based variability modelling of drone propellers at MODEVAR 2026

Events, Master's thesis, Paper news, Product lines, Projects, Seminar
On 29 September 2026, Esther Rocío Valladolid Ortíz presented "Towards UVL-based variability modelling of drone propellers" at MODEVAR 2026, the International Workshop on Languages for Modelling Variability, held as part of VARIABILITY 2026 in Limassol, Cyprus. The work is co-authored with David Romero-Organvidez, José Antonio Pérez Castellanos and David Benavides, from the University of Seville.Feature models are usually applied to software, where a feature is a choice that is either included in a configuration or not. Physical engineering domains are just as variable, but their variability is often continuous and bound by physics. The design of a drone propeller depends on numeric parameters such as radius and pitch, together with discrete choices such as the number of blades or the tip shape, and these parameters are linked by physical relations…
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UVL-driven configuration of YOLOv11 at MODEVAR 2026

UVL-driven configuration of YOLOv11 at MODEVAR 2026

Events, Paper news, Product lines, Projects, Seminar
On 29 September 2026, the work "UVL-Supported Configuration for YOLOv11 Face Detection" was presented at MODEVAR 2026, the International Workshop on Languages for Modelling Variability, held as part of VARIABILITY 2026 in Limassol, Cyprus. The research was led by Haya Alhadramy (Al al-Bayt University, Jordan), in collaboration with Francisco S. Benítez, David Romero-Organvidez and José A. Galindo from the University of Seville.The work addresses a common problem in deep learning practice: choosing a model configuration. Training a face detector involves dozens of interdependent decisions, from backbone scale and attention blocks to input resolution, augmentation, precision and post-processing. These choices are usually made by hand, often copied from previous projects, with nothing to check that the resulting combination is coherent.The authors apply software product line engineering to this problem. They model…
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David Romero-Organvidez presents the Test of Variability Thinking at VARIABILITY 2026

David Romero-Organvidez presents the Test of Variability Thinking at VARIABILITY 2026

Doctors, Events, Paper news, Product lines, Seminar
David Romero-Organvidez has presented "An Instrument for Measuring Variability Thinking" at VARIABILITY 2026, held in Limassol, Cyprus. The work is co-authored with Jesús Moreno-León, José A. Galindo and David Benavides, all from the I3US Institute at the University of Seville.Variability is a central concept in software product lines. Engineers must identify options, understand dependencies and analyze configurations. However, while the community has produced a wide range of techniques, tools and analyses, there was no instrument to measure the ability to reason about variation. Without it, it is difficult to compare profiles, assess skills or evaluate the impact of teaching.To address this gap, the authors propose the Test of Variability Thinking (TVT), a brief visual test of ten questions that takes around 15 minutes and requires no prior technical knowledge. Inspired…
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Salvador Muñoz Publishes on Smart Governance in Digital Government: Research and Practice

Salvador Muñoz Publishes on Smart Governance in Digital Government: Research and Practice

Announcement, Doctors, Paper news, Product lines, Projects, Uncategorized
Salvador Muñoz Hermoso has had his paper "Exploring Smart Governance Challenges in Local Governments: Insights from a Delphi Study in Spain" accepted for publication in Digital Government: Research and Practice, the ACM journal devoted to digital government and public sector transformation. The manuscript was accepted as a Research Paper in its current form. The work is co-authored with Miguel A. Olivero, Francisco J. Domínguez-Mayo, and David Benavides.The paper is a result of the doctoral research that Salvador carried out at the University of Seville, where his industrial doctorate focused on e-collaboration and smart governance. He defended his thesis in September 2025. Throughout that research he combined academic work with more than two decades of professional experience in the development and management of electronic administration and local government projects, a background…
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Deep Learning Methods for EEG-Based Speech Classification and Decoding: A PRISMA Review

Deep Learning Methods for EEG-Based Speech Classification and Decoding: A PRISMA Review

Announcement, Paper news, Product lines, Uncategorized
We are pleased to share that Asma Sbaih, together with Jorge García-Gutiérrez, Megha Bhushan and David Benavides, has published a new article entitled "Deep Learning Methods for EEG-Based Speech Classification and Decoding: A PRISMA Review", now available in open access in Computer Speech & Language (Elsevier).The article presents a systematic review, conducted following the PRISMA 2020 guidelines, of deep learning methods applied to speech-related EEG (electroencephalography) and intracranial EEG (iEEG) processing, covering studies published between 2018 and 2025. After searching across Scopus, IEEE Xplore, ScienceDirect, Web of Science and PubMed, the authors identified 1,148 records, of which 80 peer-reviewed studies were included following duplicate removal, screening and eligibility assessment.The review organizes the literature by task type (speech classification, spectrogram reconstruction and speech synthesis), neural signal type (non-invasive EEG versus invasive…
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New Article Published: UVLHub

Paper news, Product lines, Projects
UVLHub is an open source SPL online repository developed by our coworkers Pf. David Romero Organvídez, Dr José Ángel Galindo and Victor Ramirez de la Corte. Recently, the article in which the main status, features and impact of the project is summarized, has been published by Journal of Systems and Software. As of now, UVLHub serves as the main practical resource of an advanced mandatory subject in the Software Engineering degree in the University of Seville, provides features that have been crucial for the development of other projects led by diversolab, will be crucial for many others, and will be soon implementing more features to create and modify SPL's natively. Learn more about this service in the links below: JSS UVLHub latest paper SPLC 2021 Conference on early UVLHub UVLHub…
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A New Paper Accepted in JSS!

Paper news, Product lines
Today we bring good news, as a new paper from our group has been accepted this week in the Journal of Systems and Software. Titled "Variability management and software product line knowledge in software companies", it documents an empirical study conducted in over 100 companies to discover their needs and knowledge about software product lines. The study was carried out by our colleagues David Benavides Cuevas and Antonio Manuel Gutiérrez Fernández, our new member. Among the findings, it was discovered that there is a greater need for variability management than for knowledge about the technology. If you are interested in learning more, you can access this link.
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Diverso Lab paper on Open Source Performance Project reaches Top 10 Downloads

Paper news
This week, a paper authored by members of Diverso Lab secured a spot on the Top 10 Downloads page at the Social Science Research Network (https://www.ssrn.com) within the Software Engineering eJournal section. Titled "A Performance Evaluation Model for DevOps Practices on Open Source Software Projects," the paper was posted on October 17th and has reached the 9th position over the past 60 days. This paper proposes an alternative method to measure project performance levels through reports from different methods and puts it in comparison with DORA metrics reports, which cannot be directly applied to OSS projects. This paper is available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4605131
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