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pro vyhledávání: '"Neto Francisco P"'
The increasing demand for software engineering education presents learning challenges in courses due to the diverse range of topics that require practical applications, such as programming or software design, all of which are supported by group work
Externí odkaz:
http://arxiv.org/abs/2407.10322
The integration of Large Language Models (LLMs) and chatbots introduces new challenges and opportunities for decision-making in software testing. Decision-making relies on a variety of information, including code, requirements specifications, and oth
Externí odkaz:
http://arxiv.org/abs/2406.11339
Software developers use natural language to interact not only with other humans, but increasingly also with chatbots. These interactions have different properties and flow differently based on what goal the developer wants to achieve and who they int
Externí odkaz:
http://arxiv.org/abs/2405.12712
Women in computing were among the first programmers in the early 20th century and were substantial contributors to the industry. Today, men dominate the software engineering industry. Research and data show that women are far less likely to pursue a
Externí odkaz:
http://arxiv.org/abs/2405.03824
Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, including software engineering. Currently there is much debate, but little emp
Externí odkaz:
http://arxiv.org/abs/2404.14901
Autor:
Maia, Wesley Ferreira, Carmignani, Angelo, Bortoli, Gabriel, Maretti, Lucas, Luz, David, Guzman, Daniel Camilo Fuentes, Henriques, Marcos Jardel, Neto, Francisco Louzada
This article investigates applying advanced machine learning models, specifically LSTM and BERT, for text classification to predict multiple categories in the retail sector. The study demonstrates how applying data augmentation techniques and the foc
Externí odkaz:
http://arxiv.org/abs/2403.01638
Nanoinformatics is a novel, rapidly growing area of research that involves the application of computational techniques to several aspects of research in the field of nanotechnology, especially concerned its application to biotechnology. This reviews
Externí odkaz:
http://arxiv.org/abs/2401.10365
Autor:
da Silva, Matteus Vargas Simão, Arrais, Rodrigo Reis, da Silva, Jhessica Victoria Santos, Tânios, Felipe Souza, Chinelatto, Mateus Antonio, Pereira, Natalia Backhaus, De Paris, Renata, Domingos, Lucas Cesar Ferreira, Villaça, Rodrigo Dória, Fabris, Vitor Lopes, da Silva, Nayara Rossi Brito, de Faria, Ana Claudia Akemi Matsuki, da Silva, Jose Victor Nogueira Alves, Marucci, Fabiana Cristina Queiroz de Oliveira, Neto, Francisco Alves de Souza, Silva, Danilo Xavier, Kondo, Vitor Yukio, Santos, Claudio Filipi Gonçalves dos
Over the last few years, the number of works about deep learning applied to the medical field has increased enormously. The necessity of a rigorous assessment of these models is required to explain these results to all people involved in medical exam
Externí odkaz:
http://arxiv.org/abs/2305.07511
The input domain of software systems can typically be divided into sub-domains for which the outputs are similar. To ensure high quality it is critical to test the software on the boundaries between these sub-domains. Consequently, boundary value ana
Externí odkaz:
http://arxiv.org/abs/2207.09065
We studied the critical behavior of the $J_{1}-J_{2}$ spin-{1/2} Ising model in the square lattice by considering $J_{1}$ fixed and $J_{2}$ as random interactions following discrete and continuous probability distribution functions. The configuration
Externí odkaz:
http://arxiv.org/abs/2112.11569