GUIsurfer: A Reverse Engineering Framework for User Interface Software

GUIsurfer: A Reverse Engineering Framework for User Interface Software

The role of coordination analysis in software integration projects

What sort of component coordination strategies emerge in a software integration process? How can such strategies be discovered and further analysed? How close are they to the coordination component of the envisaged architectural model which was supposed to guide the integration process? This paper introduces a framework in which such questions can be discussed and illustrates its use by describing part of a real case-study. The approach is based on a methodology which enables semi-automatic discovery of coordination patterns from source code, combining generalized slicing techniques and graph manipulation

Criminal Liability of Organizations, Corporations, Legal Persons, and Similar Entities on Law of Portuguese Cybercrime: A Brief Discussion on the Issue of Crimes of “False Information,” the “Damage on Other Programs or Computer Data,” the “Computer-Software Sabotage,” the “Illegitimate Access,” the “Unlawful Interception,” and “Illegitimate Reproduction of the Protected Program”

Abstract: in Portugal, and in much of the legal systems of Europe, «legal persons» are likely to be criminally responsibilities also for cybercrimes. Like for example the following crimes: «false information»; «damage on other programs or computer data»; «computer-software sabotage»; «illegitimate access»; «unlawful interception» and «illegitimate reproduction of protected program». However, in Portugal, have many exceptions. Exceptions to the «question of criminal liability» of «legal persons». Some «legal persons» can not be blamed for cybercrime. The legislature did not leave! These «legal persons» are v.g. the following («public entities»): legal persons under public law, which include the public business entities; entities utilities, regardless of ownership; or other legal persons exercising public powers. In other words, and again as an example, a Portuguese public university or a private concessionaire of a public service in Portugal, can not commit (in Portugal) any one of cybercrime pointed. Fair? Unfair. All laws should provide that all legal persons can commit cybercrimes. PS: resumo do artigo em inglês.

Prediction of genetic gain from selection indices for disease resistance in papaya hybrids

In order to select superior hybrids for the concentration of favorable alleles for resistance to papaya black spot, powdery mildew and phoma spot, 67 hybrids were evaluated in two seasons, in 2007, in a randomized block design with two replications. Genetic gains were estimated from the selection indices of Smith & Hazel, Pesek & Baker, Williams, Mulamba & Mock, with selection intensity of 22.39%, corresponding to 15 hybrids. The index of Mulamba & Mock showed gains more suitable for the five traits assessed when it was used the criterion of economic weight tentatively assigned. Together, severity of black spot on leaves and on fruits, characteristics considered most relevant to the selection of resistant materials, expressed percentage gain of -44.15%. In addition, there were gains for other characteristics, with negative predicted selective percentage gain. The results showed that the index of Mulamba & Mock is the most efficient procedure for simultaneous selection of papaya hybrid resistant to black spot, powdery mildew and phoma spot.

Improving FEM crash simulation accuracy through local thickness estimation based on CAD data

In this paper, we present a method for estimating local thickness distribution in nite element models, applied to injection molded and cast engineering parts. This method features considerable improved performance compared to two previously proposed approaches, and has been validated against thickness measured by di erent human operators. We also demonstrate that the use of this method for assigning a distribution of local thickness in FEM crash simulations results in a much more accurate prediction of the real part performance, thus increasing the bene ts of computer simulations in engineering design by enabling zero-prototyping and thus reducing product development costs. The simulation results have been compared to experimental tests, evidencing the advantage of the proposed method. Thus, the proposed approach to consider local thickness distribution in FEM crash simulations has high potential on the product development process of complex and highly demanding injection molded and casted parts and is currently being used by Ford Motor Company.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Dinâmica da acumulação de capacidades inovadoras: evidências de empresas de software no Rio de janeiro e em São Paulo

São escassos estudos sobre a dinâmica da acumulação de capacidades inovadoras. Este artigo examina o tema em oito empresas de software em São Paulo e Rio de Janeiro, encontrando: diferenças inter e intraempresariais em termos da direção e taxa de acumulação de capacidade para funções tecnológicas específicas; acúmulo de capacidade tecnológica mais rápido em empresas mais jovens; e decréscimo das taxas de acumulação tecnológica à medida que as empresas se aproximam de níveis mais inovadores de capacidades, demonstrando a potencialidade para aceleração do processo. Tais evidências são relevantes para o entendimento da acumulação tecnológica e fornecem uma noção do tempo necessário para se obterem benefícios de esforços de aprendizagem e construção de capacidade inovadora.

Atratividade de projetos de software livre: importância teórica e estratégias para administração

Milhares de Projetos de Software Livre (PSL) foram e continuam sendo criados na Internet. Esse cenário aumenta as oportunidades de colaboração tanto quanto acirra a concorrência por usuários e contribuidores, que elevariam esses projetos a níveis superiores aos que seriam alcançados por seus fundadores sozinhos. E dado que o aprimoramento por meio de colaboração é o principal objetivo dos fundadores de PSL, a importância de entender e administrar a capacidade de atrair usuários e contribuidores fica estabelecida. Para auxiliar pesquisadores e fundadores nesse desafio, o conceito de atratividade é introduzido neste artigo, que desenvolve um ferramental teórico-gerencial sobre as causas, indicadores e consequências da atratividade, viabilizando sua administração estratégica.

Knowledge cities: a taxonomy for analyzing software and information service clusters

Software and information services (SIS) have become a field of increasing opportunities for international trade due to the worldwide diffusion of a combination of technological and organizational innovations. In several regions, the software industry is organized in clusters, usually referred to as "knowledge cities" because of the growing importance of knowledge-intensive services in their economy. This paper has two primary objectives. First, it raises three major questions related to the attractiveness of different cities in Argentina and Brazil for hosting software companies and to their impact on local development. Second, a new taxonomy is proposed for grouping clusters according to their dominant business segment, ownership pattern and scope of operations. The purpose of this taxonomy is to encourage further studies and provide an exploratory analytical tool for analyzing software clusters.

PROPOSTA DE INVESTIGAÇÃO SOBRE O USO DE SOFTWARE NO SUPORTE À INOVAÇÃO EM SERVIÇOS

RESUMOEste artigo examina os objetivos, instrumentos e características das inovações habilitadas por Tecnologias da Informação e Comunicação (TICs) no Brasil, enfatizando as tecnologias utilizadas, os canais habilitados pelas ferramentas digitais, os processos de aprendizado para inovação e as mudanças organizacionais necessárias para o uso de ferramentas avançadas. A metodologia consiste na adaptação de taxonomias existentes para os propósitos específicos da pesquisa e a realização de uma pesquisa de campo com o auxílio do software Atlas.ti. Os resultados mostram que as inovações habilitadas por TIC não constituem eventos isolados e pontuais, uma vez que alteram processos, formas de relacionamento com parceiros e clientes, e requerem uma maior integração de funções organizacionais. Importantes diferenças foram observadas em função do porte da empresa, da internacionalização das operações, da capacitação técnica e do grau de acesso a ferramentas proprietárias.

O ensino e aprendizagem do gráfico da função quadrática com e sem auxílio do Software Winplot

RESUMO: A utilização adequada das TIC no ensino da Matemática, nos dias de hoje é considerada por alguns como justificada e inevitável, esperando que a sua utilização melhore o ensino e a aprendizagem da Matemática. Nesta investigação, pretende-se testar o Software Winplot), no ensino e aprendizagem do gráfico da função quadrática com alunos do 10ºano, da Escola do segundo ciclo do Ensino Secundário nº9099, de modo a verificar se melhora o ensino e na aprendizagem desta temática.Para a nossa investigação Seleccionámos dois grupos de alunos do 10º ano que funcionaram como grupo de controlo e grupo experimental; depois de ambos os grupos terem realizado dois pré-testes, o grupo experimental realizou as aprendizagens no laboratório de informática com auxílio do Software Winplot, ao longo de 8 semanas, durante o 2º trimestre do ano lectivo de 2009/2010. O grupo de controlo realizou as aprendizagens, ao mesmo tempo que o grupo experimental, na sala normal de aulas sem auxílio do Software Winplot.Ao compararmos os dois grupos, o teste T de pares para amostras independentes, mostra-nos que estatisticamente não há diferenças significativas entre os dois grupos, porque os níveis de significância são maiores que p=0,05, desta feita podemos dizer que o grupo experimental, não obteve melhores resultados que o grupo de controlo, logo o Software Winplot não resultou o efeito desejado nas aprendizagens com alunos da 10ºano da Escola do segundo ciclo do ensino Secundário nº9099, sita no município de Viana (Luanda/Angola). ABSTRACT:The appropriate use of ICTs in teaching mathematics, today is considered by somo to be justified and inevitable, hoping that their use will improve the teaching and learning of mathematics.In this investigation, we intend to test the Software Winplot, teaching and learning of the graph of quadratic functions with students of grade 10, attending the second cycle of secondary School nº9099 in order to verify that improves teaching and learning of this subject.For our research selected two groups of students in 10th grade who acted as the controlo group and experimental group, after both group had undergone two pre-test, the experimental group performed the learning in the computer lab with the aid of Software Winplot, over 8 weeks during the second quarter of the academic year 2009/2010. Thr control gropu performed the learning, while the experimental group, in rregular class room without help of the Software Winplot.Comparing the two groups, the t test for independent samples pairs, shows us that there is no statistically significant differences between the two groups, because the significance levels are greater than p=0,05, this time we can say that experimental group, not yielded better results than the control group, so the Software did not result the desired effect on the learning with students from 10th grade of the School of the second cycle of Secondary nº9099, located in Viana (Luanda/Angola).

Desenvolvimento, testes e qualidade de software

RESUMO: Hoje em dia o software tornou-se num elemento útil na vida das pessoas e das empresas. Existe cada vez mais a necessidade de utilização de aplicações de qualidade, com o objectivo das empresas se diferenciarem no mercado. As empresas produtoras de software procuram aumentar a qualidade nos seus processos de desenvolvimento, com o objectivo de garantir a qualidade do produto final. A dimensão e complexidade do software aumentam a probabilidade do aparecimento de não-conformidades nestes produtos, resultando daí o interesse pela actividade de testes de software ao longo de todo o seu processo de concepção, desenvolvimento e manutenção. Muitos projectos de desenvolvimento de software são entregues com atraso por se verificar que na data prevista para a sua conclusão não têm um desempenho satisfatório ou por não serem confiáveis, ou ainda por serem difíceis de manter. Um bom planeamento das actividades de produção de software significa usualmente um aumento da eficiência de todo o processo produtivo, pois poderá diminuir a quantidade de defeitos e os custos que decorrem da sua correcção, aumentando a confiança na utilização do software e a facilidade da sua operação e manutenção. Assim se reconhece a importância da adopção de boas práticas no desenvolvimento do software. Para isso deve-se utilizar uma abordagem sistemática e organizada com o intuito de produzir software de qualidade. Esta tese descreve os principais modelos de desenvolvimento de software, a importância da engenharia dos requisitos, os processos de testes e principais validações da qualidade de software e como algumas empresas utilizam estes princípios no seu dia-a-dia, com o intuito de produzir um produto final mais fiável. Descreve ainda alguns exemplos como complemento ao contexto da tese. ABSTRACT: Nowadays the software has become a useful element in people's lives and it is increasingly a need for the use of quality applications from companies in order to differentiate in the market. The producers of software increase quality in their development processes, in order to ensuring final product quality. The complexity and size of software, increases the probability of the emergence of non-conformities in these products, this reason increases of interest in the business of testing software throughout the process design, development and maintenance. Many software development projects are postpone because in the date for delivered it’s has not performed satisfactorily, not to be trusted, or because it’s harder to maintain. A good planning of software production activities, usually means an increase in the efficiency of all production process, because it can decrease the number of defects and the costs of it’s correction, increasing the reliability of software in use, and make it easy to operate and maintenance. In this manner, it’s recognized the importance of adopting best practices in software development. To produce quality software, a systematic and organized approach must be used. This thesis describes the main models of software development, the importance of requirements engineering, testing processes and key validation of software quality and how some companies use these principles daily, in order to produce a final product more reliable. It also describes some examples in addition to the context of this thesis.

Assessment and prediction of asthma and its severity in the pediatric community

Seventy four asthmatic children aged 7 to 11 years were examined along with controls matched by age and sex. Clinical and laboratory investigations preceded a 28-day follow-up where data about morning and evening peak expiratory flow rate (PEF), symptoms and treatment were recorded. The coefficient of variation of PEF was found to be an objective measurement of asthma severity that has statistically significant correlation with both symptoms (r s= .36) and treatment (r s= .60). Moreover, it separates mild and severe asthmatics, as confirmed by statistically significant differences (p= .008 or less) in symptoms, treatment, skin allergy and airways response to exercise. Skin allergy and airways responsiveness to exercise were found to be predictors of both disease and severity. By means of logistic regression analysis it was possible to establish the probabilities for both asthma and severe asthma when children presenting and not presenting these characteristics are compared. One single positive skin test represent a probability of 88% for the development of asthma and a probability of 70% for severe disease. A PEF reduction of 10% after an exercise test implies a probability of 73% for disease and a probability of 64% for severe disease. Increases in these variables imply geometrically increased risks and their presence together have a multiplicative effect in the final risk.

A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal

The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Wind power prediction plays a key role in tackling these challenges. The contribution of this paper is to propose a new hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system, for short-term wind power prediction in Portugal. Significant improvements regarding forecasting accuracy are attainable using the proposed approach, in comparison with the results obtained with five other approaches.