The ISSI Research Group (Software Engineering and Information Systems, Ingeniería del Software y Sistemas de Información in Spanish) has over 35 years of experience in advanced research, technology transfer, and training of researchers, making it a well-established leader in Spain with a significant international presence. The group is part of the Department of Computer Systems and Computation at the Universitat Politècnica de València (UPV) and is integrated into the Institute of Information Technology (Instituto Universitario Mixto de Tecnología Informática, ITI – IUMTI).
Its research focuses on the development and evaluation of methods, tools, processes, and environments applied to software engineering. In this regard, emphasis is placed on the principles and foundations of model technology, automation, quality assurance, and improving human-computer interaction.
The group leads and actively participates in European, national, and regional research projects, and maintains close collaboration with national and international research centers, reflected in joint publications, research visits, and research stays.
We’re committed to advancing the theoretical foundations and practical methodologies of software engineering and interactive systems, with a focus on modeling, quality, user‑centered design, and emerging computational paradigms
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Agility in Software Development
Agile principles are examined through their impact on team transformation, collaboration, and responsiveness to change. The line encompasses the study of how work teams adopt agile practices, how organizations support these transitions, and which tools and techniques most effectively enhance agile project management. Emphasis is placed on improving coordination, transparency, and continuous delivery across development activities.
Software and Services Engineering
Software and service quality are addressed from the earliest stages of requirements to operational monitoring. The line covers methods for modeling and analyzing early requirements, AI‑driven adaptation of user interfaces and architectures, usability‑centered quality models, UX‑oriented monitoring strategies, and empirical evaluation methods. Altogether, these areas strengthen the reliability, usability, and user experience of contemporary software systems.
Model‑Driven Software Engineering
Model‑based automation is advanced through domain‑specific languages, systematic model transformations, and automated code generation. The line investigates how abstract representations can structure and streamline development processes, how specialized languages improve expressiveness in specific domains, and how transformations ensure consistency and traceability. These contributions collectively support higher productivity, rigor, and maintainability in software development.
Document Engineering
Complex documentation environments are approached through methods that facilitate variability management, reuse, and controlled evolution. The line includes techniques for documentation in software product lines, strategies for managing the evolution of large document sets, and document slicing mechanisms for fragmenting and reorganizing content. The overall aim is to improve adaptability, coherence, and efficiency in documentation workflows.
Cyber-Physical-Social Systems Engineering
Systems that merge physical, digital, and social dimensions are studied with a focus on natural interaction and user engagement. Work in this line spans natural user interfaces, gamification approaches that foster collaborative learning, and augmented reality environments designed for education, inclusion, healthcare, and motivational mobile applications. These efforts contribute to creating intuitive, immersive, and socially interconnected systems.
Resilient Systems Engineering
Resilience is addressed through methods for designing and evaluating systems capable of absorbing disruptions and recovering effectively. The line examines emergency management systems, approaches for strengthening urban resilience, and mechanisms for assessing public policies affecting societal robustness. Insights from these areas support preparedness, adaptability, and sustainable response strategies in complex socio‑technical environments.