Parallel Distributed Grammar Engineering for Practical Applications

Based on a detailed case study of parallel grammar development distributed across two sites, we review some of the requirements for regression testing in grammar engineering, summarize our approach to systematic competence and performance profiling, and discuss our experience with grammar development for a commercial application. If possible, the workshop presentation will be organized around a software demonstration

Implementation of business intelligence tools using open source approach

Discovering business intelligence is the modern organization’s way of gaining competitive advantage in their market, supported by Decisions Support Systems or Business Intelligence Systems. The first step in any decision support system is to create the repository of data for the system to collect and display any information requested. This repository is the source of all business intelligence and implementing it requires the right software tools, essential for the data warehouse. Therefore, when choosing the software tool, the project size, budget constraints and risks should be kept in mind. Overall the right choice depends on the organization’s needs and ambitions. The essential work to be done here is to demonstrate that open source software can be an accurate and reliable tool to implement data warehouse projects. The two ETL solutions used were: • Pentaho Kettle Data Integration Community Editions (Open Source Software) • SQL Server 2005 Integrations Services (SSIS) Enterprise Edition (Proprietary Software) The proprietary, commercial software in question (as well as others) is widely used. However, an open source solution has key features recognized by organizations worldwide and this work will show the different functionalities and benefits of this open source approach.Nas organizações a descoberta de conhecimento do negócio é o processo para alcançar vantagem competitiva sobre os seus concorrentes, e esta é apoiada por Sistemas de Suporte á decisão ou por Business Intelligence termo atualmente em voga.A primeira coisa a fazer em qualquer tipo de sistema de apoio à decisão é criar o repositório de dados de informação onde o sistema vai recolher e mostrar todas as informações solicitadas. Este repositório é a fonte de todo o conhecimento do negócio, e a sua construção exige as ferramentas de software corretas para o desenvolvimento do data warehouse. Deve-se por isso ao escolher a ferramenta de software pensar nos requisitos para a seleção do software do mercado, a escolha do software envolve o tamanho do projecto, orçamento, ou riscos a tomar em mente. Globalmente, a escolha certa depende das necessidades de organização e suas ambições. O trabalho essencial a ser feito aqui é demonstrar que o software open source pode ser uma ferramenta fiavél e eficaz para implementar projetos de data warehouse. As duas soluções ETL utilizadas foram: • Pentaho Data Integration Chaleira Editions Comunidade (Open Source Software) • SQL Server 2005 Integration Services (SSIS) Enterprise Edition (Software Proprietário) O software proprietario, comercial em questão (assim como outros) é amplamente utilizado. No entanto, uma solução de open source tem características fundamentais que são reconhecidas por organizações em todo o mundo e este trabalho irá mostrar as diferentes funcionalidades e benefícios desta abordagem de software open source

2012 Grantmakers Information Technology Survey Report

Together the Technology Affinity Group (TAG) and Grants Managers Network (GMN) conducted an information technology survey of grantmaking organizations in July 2012. This survey serves as a follow?up to similar surveys TAG has conducted in collaboration with the Council on Foundation (The Council) in April 2003, July 2005, and June 2007, and then independently in 2010

Software como um Serviço: uma plataforma eficaz para oferta de sistemas holísticos de gestão da performance

This study main objective was to assess the viability of development of a Performance Management (PM) system, delivered in the form of Software as a Service (SaaS), specific for the hospitality industry and to evaluate the benefits of its use. Software deployed in the cloud, delivered and licensed as a service, is becoming increasingly common and accepted in a business context. Although, Business Intelligence (BI) solutions are not usually distributed in the SaaS model, there are some examples that this is changing. To achieve the study objective, design science research methodology was employed in the development of a prototype. This prototype was deployed in four hotels and its results evaluated. Evaluation of the prototype was focused both on the system technical characteristics and business benefits. Results shown that hotels were very satisfied with the system and that building a prototype and making it available in the form of SaaS is a good solution to assess BI systems contribution to improve management performance.O objetivo principal deste estudo é avaliar a viabilidade de desenvolvimento de um sistema de Gestão da Performance, entregue sob a forma de “Software como Serviço” (SaaS), específico para o setor hoteleiro, e também avaliar os benefícios de seu uso. O software implantado na cloud, entregue e licenciado como um serviço, é cada vez mais aceite num contexto de negócios. Todavia, não é comum que soluções de Business Intelligence (BI) sejam distribuídas neste modelo SaaS. No entanto, existem alguns exemplos de que isso se está a alterar. Para atingir o objetivo do estudo, foi utilizada Design Science Research como metodologia de pesquisa científica para desenvolvimento de um protótipo. Este protótipo foi implementado em quatro hotéis para que os seus resultados pudessem ser avaliados. A avaliação foi focada tanto nas características técnicas do sistema como nos benefícios para o negócio. Os resultados mostraram que os hotéis estavam muito satisfeitos com o sistema e que construir um protótipo e disponibilizá-lo sob a forma de SaaS é uma boa solução para avaliar a contribuição dos sistemas de BI para melhorar o desempenho da gestão.info:eu-repo/semantics/publishedVersio

A survey on test suite reduction frameworks and tools

Software testing is a widely accepted practice that ensures the quality of a System under Test (SUT). However, the gradual increase of the test suite size demands high portion of testing budget and time. Test Suite Reduction (TSR) is considered a potential approach to deal with the test suite size problem. Moreover, a complete automation support is highly recommended for software testing to adequately meet the challenges of a resource constrained testing environment. Several TSR frameworks and tools have been proposed to efficiently address the test-suite size problem. The main objective of the paper is to comprehensively review the state-of-the-art TSR frameworks to highlights their strengths and weaknesses. Furthermore, the paper focuses on devising a detailed thematic taxonomy to classify existing literature that helps in understanding the underlying issues and proof of concept. Moreover, the paper investigates critical aspects and related features of TSR frameworks and tools based on a set of defined parameters. We also rigorously elaborated various testing domains and approaches followed by the extant TSR frameworks. The results reveal that majority of TSR frameworks focused on randomized unit testing, and a considerable number of frameworks lacks in supporting multi-objective optimization problems. Moreover, there is no generalized framework, effective for testing applications developed in any programming domain. Conversely, Integer Linear Programming (ILP) based TSR frameworks provide an optimal solution for multi-objective optimization problems and improve execution time by running multiple ILP in parallel. The study concludes with new insights and provides an unbiased view of the state-of-the-art TSR frameworks. Finally, we present potential research issues for further investigation to anticipate efficient TSR frameworks