Abstract

Abstract
Serious Games have been used in professional training to increase employee engagement and improve the results of training initiatives in this context. This work intends to investigate the influence of game elements, in adaptable Serious Games, according to the users' interactions, in the increase of engagement in the game itself and, as the main objective, in the learning outcomes and the transfer of the acquired knowledge and practised skills to activities in the daily work. Using the Design Science Research methodology, this study is intended to develop a framework for the development and evaluation of Serious Games to improve the user experience, the learning outcomes, the transfer of knowledge to work situations, and the application of skills practised in the game in real professional scenarios. © 2021 Associacao Portuguesa de Sistemas de Informacao. All rights reserved.

Abstract
The 2019/2020 school year will always be remembered for the impact of the COVID-19 pandemic. For the first time in recent history, countries closed schools and forced instructors and students to quickly adjust to online classes. This sudden and forced shift to a method of teaching that was completely different from what we were used to presented several challenges and opportunities on a pedagogical level. In this paper we describe our experience as instructors in a course on microprocessor programming in the Master's Degree in Computer Science and Computing Engineering at the Faculty of Engineering of the University of Porto. Our approach included changes to the assessment plan, which became more distributed, and improvements in communication between students and instructors through the use of Slack. We found that the changes introduced were not only very well received by students, but also resulted in the best exam attendance and average final grade in the last 10 years of the course's history.

Abstract
Assessment is an important part of the educational process, playing a crucial role in student learning. The increase in the number of students in higher education has placed extreme pressure on assessment practices, often leading to a teacher having hundreds of assignments to correct, not only giving feedback too late, but also low quality feedback, as it is humanly impossible to correct all these assessments by giving quality feedback in such a short time. Due to the social confinement caused by the pandemic of COVID-19, there was the need to change the evaluation method initially associated with a thin exam, to a continuous evaluation method based on multiple weekly assignments. In order to deal with this situation, we developed AOCO, the first automatic correction tool for the ARMv8 AArch64 assembly language. This work presents the AOCO tool, as well as the results of the evaluation of a first use with students.

Abstract
The 2020/2021 academic year started full of uncertainties for new students of higher education in Portugal. The restrictions imposed by the COVID-19 pandemic, the fears of a new lockdown, all coupled with the well-known challenges that a university student faces in his first year, made this year a particularly challenging year in terms of the students' integration. In this paper, we present how the mentoring programme of the Integrated Master in Informatics and Computing Engineering at the Faculty of Engineering of the University of Porto was adapted to help the integration of first-year students in the university environment under the pandemic.

Abstract
In the context of SaaS (Software as a Service) where software has to be up and miming 7 days a week and 24 hours a day, keeping the requirements specification and related test cases up to date can be difficult. Managing requirements in this context has additional challenges that need to be taken into account, for instance, re-prioritize requirements continuously and identify/update new dependencies among them. When requirements change, related test cases need to be updated accordingly. We claim that extracting and analyzing the usage of the SaaS can help to maintain requirements and test cases updated and contribute to improve the overall quality of the services provided. This paper presents an extension to REQAnalytics. REQAnalytics is a recommendation system that collects information about the usage of a SaaS and generates recommendations to improve the SaaS provided. The evolution involves extending the analysis performed over the sequences of functionalities (requirements) and refining the data provided for Software Requirements Specification, with the purpose of helping the requirements engineers in the requirement maintenance activities, and to improve the overall quality of the services. Furthermore, the extension presented in this paper is able to generate test cases in a regression testing context. (C) 2021 The Authors. Published by Elsevier B.V.