https://repositorio.ufba.br/handle/ri/34154 Sun, 03 May 2026 03:57:39 GMT 2026-05-03T03:57:39Z https://repositorio.ufba.br/handle/ri/32454 Título: Recovering Architectural Variability from Source Code Autor(es): Lima, Crescêncio; Machado, Ivan; Galster, Matthias; Chavez, Christina Von Flach Garcia Abstract: Context: Systematic variability management helps efficiently manage commonalities and differences in software systems (e.g., in software product lines and families). This enables the reuse of development artifacts in organizations and increases the quality of product variants. In software product lines, the product line architecture (PLA) is the core architecture for all product line variants. In practice, software architectures are often not documented in detail. Architecture recovery techniques can recover a system’s architecture from development artifacts (e.g., source code). To recover the architecture of product lines, we need recovery techniques that are able to identify variability from different sources. Goal: We present SAVaR , an approach to recover architectural variability from the source code of product variants of a product line. SAVaR aims to help developers to (a) create architectural documentation for a product line, and (b) understand and improve the implementation of variability. SAVaR identifies the smallest subset of architectural information that is common across products of a product line. To limit the explosion of variability (and hence the complexity of architecture documentation) in the product line architecture , SAVaR allows architects to exclude architecture elements that appear in only a few product variants. Method: We performed an exploratory study with SAVaR to recover the architectures in ten academic product line projects. We verified how the elimination of exclusive optional mod- ules improves the results of SAVaR . Results: The results showed that SAVaR is able to present improvements for the recovered PLAs and it helped to identify that some projects maintained the variability under control. Editora / Evento / Instituição: ACM Tipo: Artigo de Evento Sun, 01 Nov 2020 00:00:00 GMT https://repositorio.ufba.br/handle/ri/32454 2020-11-01T00:00:00Z https://repositorio.ufba.br/handle/ri/30721 Título: Mobilidade em NDN: consumidores versus produtores Autor(es): Araújo, Francisco Renato Cavalcante; Sampaio, Leobino Nascimento Abstract: As ICNs surgiram para reconstruir uma arquitetura que atenda as demandas, atuais e futuras, da Internet. NDN apresenta-se como uma arquitetura ICN de destaque por possuir diversas caracterısticas para a Internet do Futuro, sua comunicaç ao baseia-se em consumidores que requisitam interesses aos produtores para a obtenç ao de dados. A mobilidade do consumidor é razoavelmente suportada pela arquitetura, no entanto, a mobilidade do produtor é um desafio por apresentar danosa rede. Neste contexto, este trabalho apresenta avaliaçoes sobre os diferentes impactos causados na rede pela mobilidade do produtor e do consumidor. Os experimentos realizados evidenciam os desafios de manter a comunicaç ao ativa com o produtor móvel. Editora / Evento / Instituição: Sociedade Brasileira de Computação (SBC) Tipo: Artigo de Evento Fri, 19 May 2017 00:00:00 GMT https://repositorio.ufba.br/handle/ri/30721 2017-05-19T00:00:00Z https://repositorio.ufba.br/handle/ri/21060 Título: Multi-frame adaptive non-rigid registration for markerless augmented reality Autor(es): Souza, Antonio Carlos dos Santos; Macedo, Márcio Cerqueira de Farias; Apolinário Júnior, Antonio Lopes Abstract: Augmented Reality is a technology in which the user's view of a real scene is augmented with virtual information. To provide real-time performance, the major of its applications only support rigid interaction with the fiducial marker (i.e. marker-based augmented reality) or the part of the real scene being used as a natural marker (i.e. markerless augmented reality). In this context, when the natural marker consists of a deformable object (e.g. face, body, hand), it is desirable for the application to support non-rigid interactions between the user and the marker. In this paper we present an adaptive non-rigid surface registration algorithm for markerless augmented reality. It is applied in a multi-frame manner to achieve fast performance. Likewise, it takes advantage from the power of the graphics processing unit to improve application's performance. Based on multi-frame adaptivity, we show that the markerless tracking runs almost in real-time, improving the accuracy of the tracking when compared to the rigid-only solution. Editora / Evento / Instituição: ACM Tipo: Artigo de Evento Mon, 01 Dec 2014 00:00:00 GMT https://repositorio.ufba.br/handle/ri/21060 2014-12-01T00:00:00Z