Sergio Antonio Andrade de Freitas

An Integrated Approach to the Requirements Engineering and Process Modelling Teaching

One of the most important knowledge area on Software Engineering is Requirements Engineering and know properly related techniques and methods is crucial to a software practitioners. This article aims to present a method adopted to teach Requirements Engineering and Process Modelling on Software Engineering undergraduate course. It was developed a method to integrate two disciplines and improve learning of both. This method was used during two semesters, with 95 students involved. The reaching of teaching method was analyzed in two ways: grades and feedback on technical report analysis, in both were applied some statistical techniques in order to get better conclusions. The teaching methodology using shows good results, but it is important gather more data in order to provide more assured conclusions.

Deployment of Collaborative Softwares as a Service in a Private Cloud to a Software Factory

This paper presents a proposal of deploying secure communication services in the cloud for software factory university UNB (University of Brasília Brazil). The deployment of these services will be conducted in a private cloud, allocated in the CESPE (Centro de Seleção e de Promoção de Eventos) servers. The main service that will be available is the Expresso, which is a system maintained by SERPRO (Serviço Federal de Processamento de Dados). These services increase the productivity of the factory members and increase their collaboration in projects developed internally

Similarities Building a Network between Researchers based on the Curriculum Lattes Platform.

Using inference machines is one resource used to assist the decision-making process in data processing and interpretation, which allows attributing knowledge to a set of information items. In this sense this work implements a similarity algorithm that calculates the percentage of adherence found amongst academic profiles at the University of Brası́lia (UnB). The domain base use to provide the data for the work is that of the Lattes platform. This platform holds data on the scientific production of registered university scholars. The calculation provides a rating of the individuals and the approximations between their academic production. This is achieved by taking into account a base profile which is compared to one or more destination profiles. To run this procedure, the data held in each Curriculum Lattes is extracted, and an ontology of concepts is created that holds the data on the production to supply the information needed by the comparison task. These comparisons are made in each term of the name, for all the bibliographical production for both profiles compared. Each term can have a set of synonyms that are also taken into consideration in the comparison. And at the end the results are compiled and presented in a spreadsheet that holds the summaries for all adherence percentages that were compared. Applying the algorithm determines which people in a set have more or less proximity and a semantic link with the academic output when compared to other individuals. And that produces a similarity percentage.

Evaluation of an Automatic Essay Correction System Used as an Assessment Tool

In this paper, we evaluate an automatic correction essay system used as an assessment tool on a gamified course. The gamified course uses a question/answer battle as its main strategy to engage and empower students’ learning. As educational methodology, it uses peer review strategy on flipped classrooms. In such context, it was developed an automatic essay correction system, called Milsa, to be used by students out off the classroom. Milsa is used to insert questions and template answers, to automatically correct the questions based on template answers, to show the students the question, the answer and the resulting grade and, finally, to learn from the users’ feedback on the answer’s evaluation. Milsa is used as an assessment tool to measure students’ development at the gamified course. Then, we evaluate the contribution of Milsa to the students’ learning process at the course. We conducted and analyzed tests based on data collected at classes and Milsa: individual flow aligned between the classes, the assessments and an Intrinsic Motivation Inventory (IMI) questionnaire. Finally, we discusses the advantages and disadvantages of the use of Milsa as a social network that helps students with disabilities.