This paper presents the evolution of a startup ecosystem at a technological university both for teaching engineering students about entrepreneurship-related issues and for offering them another professional alternative. After three years of operation at a regional level, the ecosystem is connected with other European ecosystems by means of the Startup Europe initiative, thereby gaining better results with regard to the number of accelerated startups, the scope of the experience and future possibilities for enterprising students.

The Teleo-Reactive (TR) approach offers many possibilities for goal-oriented modeling of reactive systems, but it also has drawbacks when the number of interactions among agents is high, leading to barely legible specifications and losing the original benefits of the approach. This work combines the TR paradigm with statecharts and provides advantages for modeling reactive systems and removing the shortcomings detected. A basic example is adopted to reveal the problem that appears when agents are modeled only with the TR approach and have frequent interactions with others. This paper proposes an extension to the TR approach that integrates the modeling using statecharts. A transformation procedure from statecharts to TR programs makes it possible to continue using the infrastructure of existing execution platforms such as TeleoR. The approach has been validated for a particular domain by considering a more complex case study in which traditionally there have been no results on the application of the TR paradigm. A survey was carried out on students to verify the benefits of the approach. A method to consider statecharts when modeling TR programs. Statecharts can facilitate the adoption of the TR approach.

Requirements traceability is a technique intended to help determine the impact of changes in software design, support their integration, preserve knowledge, and assure the quality and correctness of the overall system. This paper presents an approach that considers traceability of safety requirements in the context of model-driven development of teleoperated services robots. The combination of the model-driven approach with safety requirements traceability makes it possible to construct systems using techniques for automatically identifying, managing, and mitigating risks so that these systems are safe enough to work in a particular environment. To secure the advantages of these mechanisms, we have developed a tool that provides users with traceability reports after applying model transformations. These reports enable developers to determine whether or not all safety requirements have been considered, the impact of changing a safety requirement, and how they are considered both in architectural decisions and code implementations.

Wireless Sensor Networks (WSN) are a very promising research field since they are applicable in many different areas. Current proposals for WSN system development are mainly focused on implementation issues and rarely use a Software Engineering methodology to support their development life cycle. The Model-Driven Engineering (MDE) approach can be used as a solution to this by allowing designers to model their systems at different abstraction levels, providing them with automatic model transformations to incrementally refine abstract models into more concrete ones. In this vein, this paper presents an MDE approach to WSN application development. Three levels of abstraction have been defined which allow designers to build: (1) domain-specific models, (2) component-based architecture descriptions, and (3) platform-specific models. Automatic model transformations between these three abstraction levels have been designed and, in order to demonstrate the viability of the proposal, a real WSN application has been developed using the implemented tools.