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One of the main issues of an agile software project is how to accurately estimate development effort. In 2014, a Systematic Literature Review (SLR) regarding this subject was published. The authors concluded that there were several gaps in the literature, such as the low level of accuracy of the techniques and little consensus on appropriate cost drivers. The goal of our work is to provide an updated review of the state of the art based on this reference SLR work. We applied a Forward Snowballing approach, in which our seed set included the former SLR and its selected papers. We identified a strong indication of solutions based on Artificial Intelligence and Machine Learning methods for effort estimation in Agile Software Development (ASD). We also identified that there is a gap in terms of agreement on suitable cost drivers. Thus, we applied Thematic Analysis in the selected papers and identified a representative set of 10 cost drivers for effort estimation. This updated review of the state of the art resulted in 24 new relevant papers selected.

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Background Controlling the COVID-19 outbreak in Brazil is a challenge due to the population’s size and urban density, inefficient maintenance of social distancing and testing strategies, and limited availability of testing resources. Objective The purpose of this study is to effectively prioritize patients who are symptomatic for testing to assist early COVID-19 detection in Brazil, addressing problems related to inefficient testing and control strategies. Methods Raw data from 55,676 Brazilians were preprocessed, and the chi-square test was used to confirm the relevance of the following features: gender, health professional, fever, sore throat, dyspnea, olfactory disorders, cough, coryza, taste disorders, and headache. Classification models were implemented relying on preprocessed data sets; supervised learning; and the algorithms multilayer perceptron (MLP), gradient boosting machine (GBM), decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost), k-nearest neighbors (KNN), support vector machine (SVM), and logistic regression (LR). The models’ performances were analyzed using 10-fold cross-validation, classification metrics, and the Friedman and Nemenyi statistical tests. The permutation feature importance method was applied for ranking the features used by the classification models with the highest performances. Results Gender, fever, and dyspnea were among the highest-ranked features used by the classification models. The comparative analysis presents MLP, GBM, DT, RF, XGBoost, and SVM as the highest performance models with similar results. KNN and LR were outperformed by the other algorithms. Applying the easy interpretability as an additional comparison criterion, the DT was considered the most suitable model. Conclusions The DT classification model can effectively (with a mean accuracy≥89.12%) assist COVID-19 test prioritization in Brazil. The model can be applied to recommend the prioritizing of a patient who is symptomatic for COVID-19 testing.

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Nowadays, new challenges are presenting new opportunities for healthcare services in the Internet. The increasing availability of connected Personal Health Devices (PHDs) enables a new type of information to be available in the Internet: health information. However, most of these devices use proprietary protocols, creating vertical solutions where one device just talks to one service. In this context, this paper presents a proposal for the use of the Constrained Application Protocol (CoAP) for PHDs communication, using IEEE 11073 as base health protocol. It is discussed how to carry IEEE 11073 information over CoAP messages and, at the end, evaluation results are presented in comparison with other transport mechanisms.

This work addresses cellular planning aspects for a W iM ax ( W orldwide I nteroperability for M icrowav e Access) point-to-multipoint wireless network to be dev eloped in the region of Beira I nterior. I t is concentrated in more detail in the district of Cov ilhã , and, particularly , in the urban area of the city , in order to guarantee communications from the Health Science Faculty of Univ ersity of Beira I nterior ( HSF/ UBI ) / Hospital Pê ro da Cov ilhã to all central urban area of the city . By hav ing aspects related with the carrier-to-noise and carrier-to-interference ratios into account, one concluded that it is necessary to consider a cellular structure with sectorisation, and cell cov erage distances around 3 km. Because this z one is v ery hilly , the optimiz ation of the choice of the location for base stations is essential; the potentialities of the GI S ( Geographic I nformation Sy stems) tools were ex plored to optimise the existence of line of sight cov erage in cov erage. Future research directions regarding architectures for interoperability and mobile I P, security , and the impact of multimedia applications are also addressed.Index Terms-I EEE 8 02. 16 , cellular planning, GI S, serv ices and applications, interference. I . I NTRODUCTI ONW iM ax ( W orldwide I nteroperab ility for M icrowav e Access) is b ecoming more and more popular for b oth point-to-point and point-to-multipoint outdoors communications. W hile I EEE 802. 16 -2004 standard covers the fixed market, I EEE 802. 16e[ 1] , [ 2] is cov ering the mob ile segment, and has an enormous potential in prov iding truly mob ile b roadb and applications. I n Portugal, as there is no digital pub lic emergency and safety wireless communications system yet, e. g. , TETRA ( TErrestrial Trunked RAdio) , the introduction of W iM ax gains special interest. W ith a serv ice-oriented approach, where the needs of fireman, policy, amb ulances, etc are taken into account, it is possib le to estab lish a framework for an initial planning of an wireless metropolitan area network, where users will hav e access to interactiv e voice, data, v ideo and multimedia communications. This will b e enab led by using innov ativ e terminals, like PDAs or Tab let PCs, which will comb ine v oice with other type of communications, including image and v ideo. One example can b e the communication of real-time image from the fire scene to the command centre. During Summer time, simultaneous fires in forests are a persistent calamity, and the authorities lacks access to real-time information on the evolution of fires in order to coordinate fire b rigades. Another example is the surv eillance of commercial streets by using realtime v ideo. I n the context of Univ ersities and Hospitals other applications are e-learning and e-health; hence, our work addresses an ov erlaid cellular structure, with micro-cells cov ering urb an hotspots ov er a macro-cellular structure, covering the entire region of Beira I nterior, Portugal, Fig. 1 . Fig. 1 Beira I nterior, Portugal. 0-7...

The Internet of Things (IoT) paradigm allows small and resource constrained devices to send data through complex networks like the Internet. Bringing the IoT paradigm to the healthcare area, we can expand the connected health vision, enabling new Personal Health Devices (PHD) to share health information directly through the Internet. In this paper we explore the use of the MQTT (Message Queue Telemetry Transport) lightweight protocol together with the ISO/IEEE 11073 standard. We present new ways of connecting PHDs in home networks and the Internet by the use of MQTT Brokers, which will reduce the amount of data traffic.