Editorial

Presentamos a la comunidad académica este nuevo volumen de la Revista Colombiana de Computación para el cual se han seleccionado los artículos mejor evaluados en el Congreso EATIS 2006 (Congreso Euroamericano de Telemática y Sistemas de Información), el cuál se llevó a cabo en la ciudad de Santa Marta, Colombia, del 7 al 10 de febrero de 2006 y que contó con el respaldo de las asociaciones IEEE, IEEE Computer Society, ACM y Sociedad Brasilera de Computación.We present to the academic community this new volume of the Colombian Journal of Computing for which the best evaluated articles have been selected at the EATIS 2006 Congress (Euro-American Congress of Telematics and Information Systems), which was held in the city of Santa Marta, Colombia, from February 7 to 10, 2006, with the support of the IEEE, IEEE Computer Society, ACM and the Brazilian Computing Society associations

Revista Colombiana de Computación. Volumen 7 Número 1 Junio de 2006

Presentamos a la comunidad académica este nuevo volumen de la Revista Colombiana de Computación para el cual se han seleccionado los artículos mejor evaluados en el Congreso EATIS 2006 (Congreso Euroamericano de Telemática y Sistemas de Información), el cuál se llevó a cabo en la ciudad de Santa Marta, Colombia, del 7 al 10 de febrero de 2006 y que contó con el respaldo de las asociaciones IEEE, IEEE Computer Society, ACM y Sociedad Brasilera de Computación.We present to the academic community this new volume of the Colombian Journal of Computing, for which the best evaluated articles have been selected at the EATIS 2006 Congress (Euro-American Congress on Telematics and Information Systems), which took place in the city of Santa Marta, Colombia, from February 7 to 10, 2006, with the support of the IEEE, IEEE Computer Society, ACM and Brazilian Computing Society associations

Product line architecture recovery with outlier filtering in software families: the Apo-Games case study

Software product line (SPL) approach has been widely adopted to achieve systematic reuse in families of software products. Despite its benefits, developing an SPL from scratch requires high up-front investment. Because of that, organizations commonly create product variants with opportunistic reuse approaches (e.g., copy-and-paste or clone-and-own). However, maintenance and evolution of a large number of product variants is a challenging task. In this context, a family of products developed opportunistically is a good starting point to adopt SPLs, known as extractive approach for SPL adoption. One of the initial phases of the extractive approach is the recovery and definition of a product line architecture (PLA) based on existing software variants, to support variant derivation and also to allow the customization according to customers’ needs. The problem of defining a PLA from existing system variants is that some variants can become highly unrelated to their predecessors, known as outlier variants. The inclusion of outlier variants in the PLA recovery leads to additional effort and noise in the common structure and complicates architectural decisions. In this work, we present an automatic approach to identify and filter outlier variants during the recovery and definition of PLAs. Our approach identifies the minimum subset of cross-product architectural information for an effective PLA recovery. To evaluate our approach, we focus on real-world variants of the Apo-Games family. We recover a PLA taking as input 34 Apo-Game variants developed by using opportunistic reuse. The results provided evidence that our automatic approach is able to identify and filter outlier variants, allowing to eliminate exclusive packages and classes without removing the whole variant. We consider that the recovered PLA can help domain experts to take informed decisions to support SPL adoption.This research was partially funded by INES 2.0; CNPq grants 465614/2014-0 and 408356/2018-9; and FAPESB grants JCB0060/2016 and BOL2443/201

Multi-hop Byzantine reliable broadcast with honest dealer made practical

We revisit Byzantine tolerant reliable broadcast with honest dealer algorithms in multi-hop networks. To tolerate Byzantine faulty nodes arbitrarily spread over the network, previous solutions require a factorial number of messages to be sent over the network if the messages are not authenticated (e.g., digital signatures are not available). We propose modifications that preserve the safety and liveness properties of the original unauthenticated protocols, while highly decreasing their observed message complexity when simulated on several classes of graph topologies, potentially opening to their employment

Big Data as a Technology-to-think-with for Scientific Literacy

This research aimed to identify indications of scientific literacy resulting from a didactic and investigative interaction with Google Trends Big Data software by first-year students from a high-school in Novo Hamburgo, Southern Brazil. Both teaching strategies and research interpretations lie on four theoretical backgrounds. Firstly, Bunge's epistemology, which provides a thorough characterization of Science that was central to our study. Secondly, the conceptual framework of scientific literacy of Fives et al. that makes our teaching focus precise and concise, as well as supports one of our methodological tool: the SLA (scientific literacy assessment). Thirdly, the "crowdledge" construct from dos Santos, which gives meaning to our study when as it makes the development of scientific literacy itself versatile for paying attention on sociotechnological and epistemological contemporary phenomena. Finally, the learning principles from Papert's Constructionism inspired our educational activities. Our educational actions consisted of students, divided into two classes, investigating phenomena chose by them. A triangulation process to integrate quantitative and qualitative methods on the assessments results was done. The experimental design consisted in post-tests only and the experimental variable was the way of access to the world. The experimental group interacted with the world using analyses of temporal and regional plots of interest of terms or topics searched on Google. The control class did 'placebo' interactions with the world through on-site observations of bryophytes, fungus or whatever in the schoolyard. As general results of our research, a constructionist environment based on Big Data analysis showed itself as a richer strategy to develop scientific literacy, compared to a free schoolyard exploration.Comment: 23 pages, 2 figures, 8 table

Empowering Rural Citizen Journalism Via Web 2.0 Technologies

Once acquainted with the modern information and communication tools made available with the advent of the Internet, five Brazilian rural communities participating in a pilot project to develop a self-sustaining telecenter model, engaged in citizen journalism using inexpensive digital video cameras. Community members used Web 2.0 collaborative tools to post short videos on the telecenter portal. The 95 video blogs published between September 2006 and May 2008 recorded various aspects of community life,including religious celebrations,oral history arts and crafts traditions,folklore,and envirnmental concerns. This study evaluates the impact of video blogging in these communities