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The use of code quality control platforms for analysing source code is increasingly gaining attention in the developer community. These platforms are prepared to parse and check source code written in a variety of general-purpose programming languages. The emergence of domain-specific languages enables professionals from different areas to develop and describe problem solutions in their disciplines. Thus, source code quality analysis methods and tools can also be applied to software artefacts developed with a domain-specific language. To evaluate the quality of domain-specific language code, every software component required by the quality platform to parse and query the source code must be developed. This becomes a time-consuming and error-prone task, for which this paper describes a model-driven interoperability strategy that bridges the gap between the grammar formats of source code quality parsers and domain-specific text languages. This approach has been tested on the most widespread platforms for designing text-based languages and source code analysis. This interoperability approach has been evaluated on a number of specific contexts in different domain areas.

Systematic reviews are powerful methods used to determine the state-of-the-art in a given field from existing studies and literature. They are critical but time-consuming in research and decision making for various disciplines. When conducting a review, a large volume of data is usually generated from relevant studies. Computer-based tools are often used to manage such data and to support the systematic review process. This paper describes a comprehensive analysis to gather the required features of a systematic review tool, in order to support the complete evidence synthesis process. We propose a framework, elaborated by consulting experts in different knowledge areas, to evaluate significant features and thus reinforce existing tool capabilities. The framework will be used to enhance the currently available functionality of CloudSERA, a cloud-based systematic review tool focused on Computer Science, to implement evidence-based systematic review processes in other disciplines., This research was funded by the Spanish Research Agency (Agencia Estatal de Investigacion) with ERDF funds grant number TIN2017-85797-R (VISAIGLE project). The research stay of T. Person in the SFU was funded by Erasmus+ KA107 grant number 2017-1-ES01-KA107-037422. The APC was funded by the VISAIGLE project.

The Internet of Things enables experts of given domains to create smart user experiences for interacting with the environment. However, development of such experiences requires strong programming skills, which are challenging to develop for non-technical users. This paper presents several extensions to the block-based programming language used in App Inventor to make the creation of mobile apps for smart learning experiences less challenging. Such apps are used to process and graphically represent data streams from sensors by applying map-reduce operations. A workshop with students without previous experience with Internet of Things (IoT) and mobile app programming was conducted to evaluate the propositions. As a result, students were able to create small IoT apps that ingest, process and visually represent data in a simpler form as using App Inventor's standard features. Besides, an experimental study was carried out in a mobile app development course with academics of diverse disciplines. Results showed it was faster and easier for novice programmers to develop the proposed app using new stream processing blocks., Spanish National Research Agency (AEI) - ERDF funds

The incorporation of mobile applications in educational environments generates a large amount of information resulting from the interaction of students with these applications. The analysis of this information can be of significant importance. The teacher may find it useful, as it can help them to make decisions or to assess the process of teaching/learning that it is applying within its teaching activities, allowing to improve the results or to detect certain patterns. However, the development of mobile applications that are capable of incorporating these features is not trivial for a user who does not have proper programming knowledge. This paper presents the vectorialZ application to support mathematics learning. This application has been developed using VEDILS mobile application authoring environment, which is based on MIT App Inventor 2. Finally, this application has been used with students to evaluate its usefulness and to obtain results about the students' learning.

Systematic literature reviews and mapping studies are useful research methods used to lay the foundations of further research. These methods are widely used in the Health Sciences and, more recently, also in Computer Science. Despite existing tool support for systematic reviews, more automation is required to conduct the complete process. This paper describes CloudSERA, a web-based app to support the evidence-based systematic review of scientific literature. The tool supports researchers to carry out studies by additional facilities as collaboration, usability, parallel searches and search integration with other systems, The flexible data scheme of the tool enables the integration of bibliographic databases of common use in Computer Science and can be easily extended to support additional sources. It can be used as a service in a cloud environment or as on-premises software.

One of the most valuable skills for teachers is the ability to produce their own digital solutions, translating teaching concepts into end-user computer systems. This often requires the involvement of computing specialists. As a result, the development of educational programming environments remains a challenge. Learning experiences based multimodal interaction applications (gesture interaction, voice recognition or artificial vision) are becoming commonplace in education because they motivate and involve students. This chapter analyses the state-of-the-art in LA techniques and user-friendly authoring tools. It presents a tool to support the creation of multimodal interactive applications equipped with non-intrusive monitoring and analytics capabilities. This tool enables teachers with no programming skills to create interactive LA-enriched learning scenarios. To this end, several components that manage LA activities are included in the tool, they range from automatically capturing users’ interaction with mobile applications, to querying data and retrieving metrics, to visualising tables and charts.