https://repositorio.ufba.br/handle/ri/34154 2026-04-17T03:38:42Z https://repositorio.ufba.br/handle/ri/38365 Título: Validação e construção de um dicionário léxico para auxiliar a análise de sentimentos em repositórios de projetos de software Autor(es): Menezes, Hiolanda; Boechat, Glaucya; Mota Junior, Joselito; Machado, Ivan Abstract: Sentiment analysis makes inference about polarities in words that can represent possible emotions. The assertiveness of this classification is important for the results reliability. For this reason, this article investigates, validates and builds the lexicon dictionary, in the context of Software Engineering, using words, emoticons and idiomatic expressions from the SentiStrength-SE tool. An experiment online with 559 questions answered from 48 participants in the Computing area was performed to validate lexical terms agreement from the dictionary. At the end of the data collection, the terms were gathered for validation using a Stack Overflow database to find the results on accuracy, precision, recall and F 1 -score of the new dictionary. The new lexical dictionary has 79% Accuracy and Precision, with 78% Recall and f1-score with a smaller polarity interval than the original dictionary. Editora / Evento / Instituição: Sociedade Brasileira de Computação Tipo: Artigo de Evento 2020-10-19T00:00:00Z https://repositorio.ufba.br/handle/ri/38364 Título: Understanding practices and challenges of developing sustainable research software: a pilot interview. Autor(es): Feitosa, Daniela; von Flach, Christina; Costa, Joenio Abstract: Research software is the software developed in universities and research laboratories as part of or to support their research. Research software sustainability, that is, the software’s ability to last and continue to be supported over time, fosters long-term reproducibility. In this context, it is essential to understand and describe the current practice in universities and research laboratories concerning the development of sustainable research software. However, such information is seldom available, even for research projects funded by national agencies. In this paper, we present the results of a pilot interview study conducted with a research group in Applied Physics, whose members historically developed most of the supporting research software. We interviewed the leading investigator to collect information about his knowledge of open science, research software, and software engineering practices, the challenges and supporting factors to develop software, and possible efforts to make it sustainable. The pilot study allowed us to refine the study design to support a more comprehensive study with other groups at the same University. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Artigo de Evento 2023-09-25T00:00:00Z https://repositorio.ufba.br/handle/ri/37553 Título: Modelo de contexto para adaptação de avatares: um estudo de caso em um sistema crowdsourcing. Autor(es): Ribeiro, Ailton Santos; Pestana, Maria Clara Tenório; Santos, Vaninha Vieira dos; Amorim, Ana Maria Paranhos de Abstract: Avatar is a creature that represents a specific person in a virtual environment. By enabling interaction in applications, avatars have become very popular in games and are also becoming a reality in other domains. Built from user context information, they provide immersion and a sense of presence in applications. Literature indicates that people's behavior can be influenced by the characteristics of their avatars. A gap in the literature suggests the need for a formalism to assist developers in adapting avatars to the user's context. In this article, we propose a context model for avatar adaptation. To achieve this, we conducted a case study in a crowdsourcing system. One of the challenges of crowdsourcing systems lies in motivating users to contribute and keeping them active and motivated. The individualization and personalization of avatars with contextual information can promote interaction between the user and applications. An experiment was conducted to verify this hypothesis and facilitate discussions for model improvement. Editora / Evento / Instituição: Universidade Federal da Bahia Tipo: Artigo de Evento 2018-10-29T00:00:00Z https://repositorio.ufba.br/handle/ri/32481 Título: Uma estratégia de encaminhamento eficiente para redes de veículos aéreos não tripulados de dados nomeados Autor(es): Araújo, Francisco Renato Cavalcante; Sousa, Antonio Mateus; Sampaio, Leobino Nascimento Abstract: As Redes de Dados Nomeados (NDN) foram propostas para lidar com os atuais desafios enfrentados pelas redes IP tradicionais. A NDN, embora promissora, aplicada aos ambientes sem fio e de mobilidade sofre com a inundação de pacotes e a sobrecarga gerada. Neste trabalho é proposta uma estratégia de encaminhamento para Redes Ad hoc Móveis de Dados Nomeados que visa reduzir a inundação de pacotes. O fluxo de pacotes de interesse e dados atualiza o nível de incerteza de cada nó em relação a recuperação de conteúdos. Além disso, os nós também consideram a intensidade de sinal recebido pela interface no momento do ingresso do interesse como critério de encaminhamento. A avaliação se deu num ambiente de Redes de Veículos Aéreos não Tripulados e os resultados de simulações mostram ganhos na redução do broadcast storm, enquanto mantém uma elevada taxa de satisfação de interesse. Editora / Evento / Instituição: Sociedade Brasileira de Computação (SBC) Tipo: Artigo de Evento 2019-05-06T00:00:00Z