In recent years, the evolution of Global Software Development (GSD) has grown both rapidly and significantly, and although the efficiency of this new type of development has been proven, some challenging issues must still be confronted. Of all these, our research line is focused on designing the specific training that members of virtual teams must receive. Universities and companies therefore need to design training schemas to deal with the specifics of GSD, which are principally related to communication difficulties and time and cultural differences. In this work we present the findings of a Systematic Literature Review in the field of GSD training and teaching. Our intention is twofold: on the one hand we wish to discover the existing strategies and proposals available up to the present day, and on the other hand we wish to identify the open challenges, that will be helpful for practitioners and researchers in the future.

The Internet-of-Things (IoT) introduces several technical and managerial challenges when it comes to the use of data generated and exchanged by and between various Smart, Connected Products (SCPs) that are part of an IoT system (i.e., physical, intelligent devices with sensors and actuators). Added to the volume and the heterogeneous exchange and consumption of data, it is paramount to assure that data quality levels are maintained in every step of the data chain/lifecycle. Otherwise, the system may fail to meet its expected function. While Data Quality (DQ) is a mature field, existing solutions are highly heterogeneous. Therefore, we propose that companies, developers and vendors should align their data quality management mechanisms and artefacts with well-known best practices and standards, as for example, those provided by ISO 8000-61. This standard enables a process-approach to data quality management, overcoming the difficulties of isolated data quality activities. This paper introduces DAQUA-MASS, a methodology based on ISO 8000-61 for data quality management in sensor networks. The methodology consists of four steps according to the Plan-Do-Check-Act cycle by Deming.