Grups d'Investigació

GIUV2021-491

The group is made up of researchers from the Department of Informatics who have been collaborating with each other and with other groups outside the University for a long time, thus integrating a rich diversity of knowledge and research. The team works on various interrelated and complementary lines of research, which share the common aim of analysing the aspects involved in the relationship of the interacting person with the software to be developed. From the improvement of software engineering techniques aimed at capturing the needs of all users of the software, through the design of interfaces that are better adapted to the end user, to the study of natural language recognition techniques and Matching Learning that make it possible to move forward in process automation and improvement. All of this is done taking into account the gender perspective and the diversity of the people who will use the applications, with the ultimate goal of providing advances in the quality of the software from a human point of view.

http://www.uv.es/tadesp

• Desarrollo de nuevos metodos de produccion de software
• Estudio del impacto de genero y otros factores psicosociales en el desarrollo software
• Diseño, desarrollo y mejora de sistemas software con capacidades autonomas
• Mejora de la experiencia de usuario mediante la adaptacion al contexto de la interaccion
• Definicion de metodos de diseño y metricas para optimizar la usabilidad de las interfaces

• Advanced Software Engineering Techniques.Analysis of classic methods and the development of new methods in the field of software production ranging from requirements elicitation to code generation and testing. All this is done through the empirical study of these methods through their application with real subjects.
• Gender impact on software development.To analyse the impact of gender and other psychosocial factors that affect the software development process, from the capture of requirements to the diversity of work teams and the design of algorithms and graphical interfaces.
• Development of self-adaptive systems with and without human participation .To provide solutions that enable the design and systematic development of software systems with autonomous capabilities and which involve users, who play a fundamental role in both the conception and design of these systems, once they have been launched.To offer solutions that enable the development of methods to improve the transparency of autonomous systems and obtain self-explanatory systems that can answer questions about their past, current and future behaviour at run-time.
• Maching Learning and Natural language modeling.Study and development of techniques for data processing and analysis based on machine learning from examples, based on both supervised and semi-supervised learning methods.Development of models of the functioning of natural language, focused on the practical aspects that can be derived from the modelling of linguistic behaviour with IT resources in order to create systems that incorporate components in which oral or written language intervenes.
• Information retrieval.Development of information extraction solutions that take into account the probabilistic information of the collections. Design of metadata search algorithms that describe documents or search for relevant information.
• Multimodal, adaptive and non-intrusive interaction design.Design and development of a multimodal, adaptive and non-intrusive interaction to provide a better user experience by adapting it to the context of the interaction, based on self-adaptation techniques and run-time models.
• Human-Computer Interaction and Usability.Design of usable interfaces for the end user. Development of interface design methods, focused on user experience, which allow the interface to be represented in an abstract way. Definition of usability metrics and recommendations to optimise the level of interface usability.
• Model Driven Software Development.Development of transformations from model to model (UML, BPMN, i*, Communication Analysis, UsiXML, Task Models, etc.) and from model to code to implement software development automatically, based on conceptual models that represent the system in an abstract way.

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• Computer Science

• Elicitación de requisitos; Testing; Métodos de producción de software
• Gender Diversity. Software Bias.
• Human-in-the-loop; sistemas auto-adaptativos
• Modelos lineales, modelos no lineales, aprendizaje automático estadístico
• Information retrieval;Semantic information; precision/recall
• Interacción multimodal; interacción considerada; interacción auto-adaptativa
• Usabilidad; User experience; Interacción Persona-Ordenador
• Model Driven Software Development; UML; BPMN