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One of the most interesting practical problems from a scientific and technological point of view is the termination of computer programs and systems.

Software debugging (better known as "debugging") is one of the most complex tasks in the software development process, especially when it comes to industrial software products.

The design and implementation of user interfaces are among the most time and effort consuming activities in the software development process.

Natural language processing is a field of computer science, artificial intelligence and linguistics that deals with the interaction between computers and human (natural) languages.

Big Data refers to a huge and complex collection of data that is difficult to process using conventional data management tools and applications.

In order to guarantee good software quality, it is necessary to use techniques that analyze software behavior, detecting possible problems and ideally proposing solutions.

In order for Data Mining techniques to bring benefits to organizations, it is necessary that they design an implementation plan appropriate to their needs.

Optical Character Recognition (OCR) systems offer poor performance when used on handwritten text or printed text document collections with special characteristics, such as historical archives.

In today's "Information Society" more and more tasks are performed automatically or semi-automatically by software products.

Automated testing, if used correctly, can bring a great cost reduction in the development and testing of software products.

The amount of information being generated in different domains (e.g., in the context of genomics) and especially in complex environments requires the use of artificial intelligence techniques to facilitate data analysis and generate relevant conclusions for understanding the domain under study.

In the digital world, persuasive technologies are of great importance because through the fusion of technology and psychology they can influence the choice of a particular product, brand, or alter the behavior of users.

In recent decades, the volume of information that is computerized in the databases of most organizations and companies has grown dramatically.

Most of the activities that take place within an organization follow defined processes involving both real-world objects and information systems (e.g., airport baggage control, inventory management, book lending).

In surgical simulation and planning systems as well as in industrial applications, it is increasingly important to develop applications with a high level of realism, not only for the immersion that can be achieved, but also so that the planning is based on parameters that are as realistic as possible.

Software products often lack an industrial guarantee of good performance, unlike the usual hardware products in IT.

Cyber attacks have grown significantly in recent years. In the US, for example, these cyberattacks have doubled since 2010 and the expenditure incurred by companies in response to these attacks has shot up by 40%.

Data Mining is becoming a useful and popular tool for decision making.

Today's industrial systems increasingly need systems that are flexible, adaptable to new situations, robust, easy to handle and understand, scalable to new computational requirements and, above all, capable of interoperating in heterogeneous environments.

A Surgical Simulator is a virtual environment that allows the training of surgeons in complex and advanced surgeries (e.g. Minimally Invasive Surgery).

Machine learning is a branch of artificial intelligence that deals with the development of theory and algorithms to build systems capable of learning from data.

Problem: Most web services are intended for use by developers. The challenge is to have reusable web services that can be automatically discovered and composed at runtime by other computers.

In recent years, DNA sequencing technologies have undergone a drastic evolution. The direct consequence has been an increase in the amount of genetic information available.

Software development companies or development departments use different methods for software production.

The automation of certain complex tasks is currently possible through the use of techniques based on Artificial Intelligence.

Intelligent process management requires making the right decisions and reacting in a timely manner to complex situations in which a large number of contingencies occur and the automatic or semi-automatic construction of an action plan is necessary.

From a theoretical point of view, the work of the Form Recognition and Artificial Intelligence Group has focused on the development of algorithms for inference of certain types of formal grammars from examples for automatic learning of structural models.

Software development companies or development departments use different methods for software production.

The emergence of new smartphones and tablets brings with it the need to support the research and development of specific applications for this type of devices.