Abstract
GUI interfaces require considerable visual attention for their operation excluding the access to important information coded only in the layout. In an Era of mobile devices, we must enhance the auditory designs, to facilitate the interactive contents access to the blind, people with low vision, and/or in any use context. This essay is part of an experimental approach at the human perception based on the theories of form - Gestalt - and the Computational in order to process and implement the brain acquisition signal, obtaining relations between the visual and sound stimuli. We present a computational approach that underlay the electrical signal acquisition of the brain to stimuli response - "Event-Related Potentials" (P300) - based on a fundamental visual syntax that assumes the Gestalt phenomenology with new statistical interim results to the modeling multi-perceptive of information processing (visual and auditory), with the ultimate goal of framing a lexicon and/or basic patterns common that can be applied directly to a well-grounded development of GUI - "Graphic User Interfaces" and AUI - "Auditory User Interfaces".

Abstract
Objective: Ascertain relations between brain responses elicited by stimuli of different modalities (visual and audiological). The stimuli used were based on some of the basic elements and concepts of the visual syntax, regarding to the Gestalt theory, and an audiological grammar based on the clinical protocols. Methods: We used Event-Related Potentials for assessing the brain's electrical response to visual and auditory stimuli. Materials: Biopac Systems Mp 150 - Data acquisition unit "MP150A.CE"; universal interface module "UIM100C"; stimulator module "STM100C", two electroencephalogram amplifier modules "EEG100C"; Ag-AgCL lead electrodes - AcqKnowledge 3.9.0 (software); SuperLab 4.0 (software) and MatlabR2008B. Results: Interim results presented in form of waveforms representing the average and standard deviation of all signals acquired for each type of stimulus. Conclusions: We can visually conclude that different modalities elicit different waveforms and certain stimuli have a more defined response than others.

Abstract

Abstract
The knowledge of software developers materializes itself as software artifacts, that may be seen at two different levels (information and structure), which are difficult to change independently from each other. This work explores how the expression of software knowledge using adaptive software techniques, may support the creation of adaptive software artifacts, to improve the effectiveness of capturing knowledge under constant evolution. Some work already exists in the context of the Weaki Wiki, which will be extended into a full environment supporting the creation and evolution of software artifacts beyond their initial form. We intend to validate this work experimentally.

Abstract
The success of the digital game industry is spawning several undergraduate degrees aiming at the training of digital game developers. Building adequate new courses curricula is not a trivial task and demands a profound analysis of the scientific areas to introduce as well as the dependencies throughout the entire degree. Another important aspect of every academic educational plan are the satellite projects that promote entrepreneurship and provide practical professional experiences to students. This paper presents the main guidelines adopted in the creation of the first digital game development undergraduate degree created in Portugal. © 2010 IEEE.

Abstract
A large and growing amount of software systems rely on non-trivial coordination logic for making use of third party services or components. Therefore, it is of outmost importance to understand and capture rigorously this continuously growing layer of coordination as this will make easier not only the verification of such systems with respect to their original specifications, but also maintenance, further development, testing, deployment and integration. This paper introduces a method based on several program analysis techniques (namely, dependence graphs, program slicing, and graph pattern analysis) to extract coordination logic from legacy systems source code. This process is driven by a series of pre-defined coordination patterns and captured by a special purpose graph structure from which coordination specifications can be generated in a number of different formalisms.