06Oct 2026 by diversolab No Comments
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…
Read More
30Sep 2026 by diversolab No Comments
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…
Read More
30Sep 2026 by diversolab No Comments
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…
Read More
11Sep 2026 by diversolab No Comments
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…
Read More
10Jul 2026 by diversolab No Comments
From Data to Irrigation: SensOlive’s Tools for Optimizing Deficit Irrigation

From Data to Irrigation: SensOlive’s Tools for Optimizing Deficit Irrigation

Announcement, Product lines, Projects
The foundation of irrigation scheduling in SensOlive (PLSQ_00162).Project funded by the Junta de Andalucía. What we measure and how: the tools and indicators we use for our objectivesIn our first installment, we took you on a visit to La Hampa. Today we get a little closer to show you the tools we work with and the factors we take into account to understand, day by day, what the olive grove needs. Optimizing deficit irrigation isn't just about watering less: it's about watering with a purpose, and to do that we need to know precisely how each tree responds. In this video we show you the continuous measurement indicators we rely on, along with other measures we use to verify them. Along the way you'll see:How trunk diameter variation is measured…
Read More
18Jun 2026 by diversolab No Comments
José Manuel Sánchez Presents SensOlive at SISTEDES 2026

José Manuel Sánchez Presents SensOlive at SISTEDES 2026

Announcement, Events, Product lines, Projects, Seminar, Uncategorized
SensOlive brings software variability and digital twins to one of today’s most urgent agricultural challenges: efficient irrigation in olive groves. During SISTEDES 2026, held in Alicante from 16 to 18 June, our colleague José Manuel Sánchez Ruiz presented the work titled “Proyecto - SENSOLIVE: Variability Management and Digital Twins in Deficit Irrigation of Olive Groves”. The conference brought together the Spanish software engineering community and included JISBD, JCIS and PROLE as its main scientific tracks. The article was authored by José Manuel Sánchez Ruiz, Francisco Sebastián Benítez Ruiz Díaz, Noelia López Durán, Miguel Ángel Olivero González, Francisco José Domínguez Mayo, Marta Sánchez Piñero and David Benavides Cuevas. Managing variability in precision irrigation The SensOlive project addresses a key problem in modern agriculture: how to support deficit irrigation strategies in olive…
Read More
18Jun 2026 by diversolab No Comments
Francisco Sebastián Benítez Presents a Tool for Variability Management in Irrigation and Agriculture

Francisco Sebastián Benítez Presents a Tool for Variability Management in Irrigation and Agriculture

Events, Product lines, Projects, Seminar, Uncategorized
DiversoLab continues exploring how software variability can support smarter and more adaptable agricultural systems.At SISTEDES 2026, our colleague Francisco Sebastián Benítez presented the work titled “Herramienta - A Tool for Variability Management in Irrigation and Agriculture”. The conference took place in Alicante from 16 to 18 June 2026 and gathered researchers and professionals from the Spanish software engineering and software development technologies community.The article was authored by Francisco Sebastián Benítez, José Manuel Sánchez Ruiz, David Romero Organvídez, Miguel Ángel Olivero, José A. Galindo, Francisco José Domínguez-Mayo and David Benavides.A tool-oriented contribution for smart agricultureThe presented work focuses on the development of a tool for managing variability in irrigation and agricultural contexts. This is a relevant challenge because agricultural systems are highly configurable: crops, sensors, irrigation strategies, environmental conditions and user…
Read More
16May 2026 by diversolab No Comments
DiversoLab Brings Artificial Intelligence and Large Language Models to Primary Classrooms

DiversoLab Brings Artificial Intelligence and Large Language Models to Primary Classrooms

Projects, Uncategorized
Yesterday, Diverso Lab visited the CEIP Olivar de Quinto primary school in Dos Hermanas to conduct research with 5th-grade students on how artificial intelligence systems based on Large Language Models (LLMs) work.Specifically, ETSII student Elena Tomás Vela demonstrated the "Glass Parrot" tool, an application she developed as part of her Master's Thesis, supervised by professors Francisco José Domínguez Mayo and Jesús Moreno León. Following the demonstration, the students used Glass Parrot to create their own language models, working on building the training dataset and observing the impact of their decisions on the outputs generated by the model.Throughout the session, we gained tangible familiarity with concepts such as model bias, their stochastic nature, and the critical importance of training data on their performance. Finally, the students completed a survey on the…
Read More
08May 2026 by diversolab No Comments
Diverso Lab at the AI Opportunity Fund event in Seville

Diverso Lab at the AI Opportunity Fund event in Seville

Events, Projects
A total of forty students enrolled in vocational training programmes and computing specialisation courses at IES Polígono Sur in Seville took part in an artificial intelligence event organised by Programamos, within the framework of a project funded by the AI Opportunity Fund: Europe, an initiative promoted by Google.org and the Centre for Public Impact. Diverso Lab contributed to the event with an experiment focused on prompt variability, developed in collaboration with José Miguel Horcas, a researcher at the University of Málaga (UMA). The experiment analyses how the way instructions are formulated for artificial intelligence systems influences the results obtained — a line of research with significant implications for the development of AI-based applications.The data collected during the activity will be used to continue improving a proprietary tool currently under development,…
Read More
30Apr 2026 by diversolab No Comments
DiversoLab participation in MODEVAR 2026

DiversoLab participation in MODEVAR 2026

Events, Projects, Uncategorized
Yesterday, April 29, 2026, our team from the University of Seville presented its work in the International Workshop on Languages for Modelling Variability (MODEVAR 2026). The event, hosted online by TU Braunschweig (Germany), brought together international experts to discuss and advance the field of software variability representation. Feature models have been recognized as one of the main contributions to the Software Product Line community since their invention in 1990. Despite several attempts to establish a standard modelling language (such as OVM, CVL, or TVL), reaching a consensus on a simple and universal feature modelling language remains a challenge. With the goal of facilitating information sharing among researchers, tools, and developers, this year's edition of MODEVAR focused on sharing knowledge about building variability representations and, most importantly, fostering open discussions on…
Read More