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Your search keyword '"Breno Miranda"' showing total 84 results
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84 results on '"Breno Miranda"'

1. Probable Vertical Transmission of SARS-CoV-2 Infection in the Countryside of São Paulo State, Brazil: Case Report

Author

Patricia Rodrigues Naufal Spir, Breno Miranda Souza, Verena Miranda Souza, Julia Arruda Costa Galvão, Luisa Arruda Da Costa Galvão, and Luiz Euribel Prestes-Carneiro

Subjects
sars-cov-2, vertical transmission, pregnant women, Medicine, Pediatrics, RJ1-570
Abstract

We reported a probable vertical transmission of severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) infection in Presidente Prudente, a city of the western region of São Paulo. Furthermore, regionally updated data on SARS-Coronavirus diseases-2019 pregnant women pinpointed the vulnerability of the region with higher levels of infected and dead mothers compared to nationwide data.

Published
2021
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2. Know You Neighbor: Fast Static Prediction of Test Flakiness

Author

Roberto Verdecchia, Emilio Cruciani, Breno Miranda, and Antonia Bertolino

Subjects
Software testing, flaky tests, prediction, static analysis, similarity, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Context: Flaky tests plague regression testing in Continuous Integration environments by slowing down change releases and wasting testing time and effort. Despite the growing interest in mitigating the burden of test flakiness, how to efficiently and effectively detect flaky tests is still an open problem. Objective: In this study, we present and evaluate FLAST, an approach designed to statically predict test flakiness. FLAST leverages vector-space modeling, similarity search, dimensionality reduction, and $k$ -Nearest Neighbor classification in order to timely and efficiently detect test flakiness. Method: In order to gain insights into the efficiency and effectiveness of FLAST, we conduct an empirical evaluation of the approach by considering 13 real-world projects, for a total of 1,383 flaky and 26,702 non-flaky tests. We carry out a quantitative comparison of FLAST with the state-of-the-art methods to detect test flakiness, by considering a balanced dataset comprising 1,402 real-world flaky and as many non-flaky tests. Results: From the results we observe that the effectiveness of FLAST is comparable with the state-of-the-art, while providing considerable gains in terms of efficiency. In addition, the results demonstrate how by tuning the threshold of the approach FLAST can be made more conservative, so to reduce false positives, at the cost of missing more potentially flaky tests. Conclusion: The collected results demonstrate that FLAST provides a fast, low-cost and reliable approach that can be used to guide test rerunning, or to gate the inclusion of new potentially flaky tests.

Published
2021
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