121 research outputs found

    A quality management based on the Quality Model life cycle

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    Managing quality is a hard and expensive task that involves the execution and control of processes and techniques. For a good quality management, it is important to know the current state and the objective to be achieved. It is essential to take into account with a Quality Model that specifies the purposes of managing quality. QuEF (Quality Evaluation Framework) is a framework to manage quality in MDWE (Model-driven Web Engineering). This paper suggests managing quality but pointing out the Quality Model life cycle. The purpose is to converge toward a quality continuous improvement by means of reducing effort and time.Ministerio de Ciencia e Innovación TIN2010-20057-C03-02Ministerio de Ciencia e Innovación TIN 2010-12312-EJunta de Andalucía TIC-578

    Doelgericht beoordelen van software

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    User-centred evaluation of complex IT&T within an operational environment

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    The aim of this paper is to provide guidance for the user-centred evaluation of new and complex Information Technology and Telecommunication systems within an industrial operational environment. This paper draws upon practical and methodological experience gained over a period of nearly a decade in order to: • Discuss the efficacy or otherwise of some typical Human Factors evaluation techniques • Describe the common constraints that are likely to arise during an industriallybased evaluation process • Provide guidance for overcoming these barriers to a successful and informative evaluation process Specifically, this paper aims to identify some of the key requirements for undertaking a successful evaluation process within a challenging environment and presents recommendations to maximise the efficacy of the evaluation effort

    CQA-Meth: una metodología para la evaluación de la calidad de los modelos software

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    Las empresas se preocupan cada vez más de la calidad de sus productos software y reconocen que las técnicas de evaluación y aseguramiento de la calidad deberían aplicarse desde las primeras etapas del proceso de desarrollo. Esto se debe a que el foco de atención de la calidad ha pasado del código a los modelos. La calidad de los modelos ha ido ganando cada vez más relevancia desde que apareció el paradigma del Desarrollo Dirigido por Modelos (MDD). Aunque existen algunas metodologías para la evaluación de la calidad de los modelos software, todas son propuestas aisladas que se centran en un modelo en concreto y sólo proponen técnicas de evaluación específicas para ese modelo. No hay ninguna metodología genérica y flexible que permita la evaluación de la calidad de cualquier tipo de modelo software, y mucho menos una herramienta que la soporte. Para abordar este problema, en este artículo proponemos un entorno integrado llamado Entorno CQA (Continuous Quality Assessment), que consiste en una metodología, CQA-Meth, y la herramienta que la implementa, CQA-Tool. CQA-Tool se complementa con un conjunto de herramientas para evaluar la calidad de los distintos modelos UML. Además, CQA-Tool permite construir un catálogo de técnicas de evaluación que integre todas las técnicas de evaluación disponibles (por ejemplo, medidas, listas de comprobación, guías, convenciones de modelado, etc.) para cada modelo UML. El Entorno CQA es apropiado para: (i) empresas que ofrecen servicios de evaluación de la calidad del software, (ii) factorías de software que quieran evaluar sus propios desarrollos, (iii) organizaciones que hayan externalizado una parte o la totalidad de sus desarrollos software y quieran obtener una evaluación independiente de la calidad de los productos software que adquieren.Sociedad Argentina de Informática e Investigación Operativ

    Analysis and measurement of internal usability metrics through code annotations

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    Nowadays, usability can be meant as an important quality characteristic to be considered throughout the software development process. A great variety of usability techniques have been proposed so far, mostly intended to be applied during analysis, design and final testing phases in software projects. However, little or no attention has been paid to the analysis and measurement of usability in the implementation phase. Most of the time, usability testing is traditionally executed in advanced stages. However, the detection of usability flaws during the implementation is of utmost importance to foresee and prevent problems in the utilization of the software and avoid significant cost increases. In this paper, we propose a feasible solution to analyze and measure usability metrics during the implementation phase. Specifically, we have developed a framework featuring code annotations that provides a systematic evaluation of the usability throughout the source code. These annotations are interpreted by an annotation processor to obtain valuable information and automatically calculate usability metrics at compile time. In addition, an evaluation with 32 participants has been carried out to demonstrate the effectiveness and efficiency of our approach in comparison to the manual process of analyzing and measuring internal usability metrics. Perceived satisfaction was also evaluated, demonstrating that our approach can be considered as a valuable tool for dealing with usability metrics during the implementation phaseThis work was partially supported by the Madrid Research Council (P2018/TCS-4314

    Quality Evaluation of Artifacts in Tailored Software Process Lines

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    Abstract -In software engineering, it is necessary to consider variables such as quality, effort, productivity, time and cost of development. Those variables are negatively affected when defective artifacts are produced. In this case, the cost of rework to correct defects increases in relation to the time of their discovery. Therefore, initiatives should be undertaken in order to find these defects and correct them as soon as they are introduced. This work proposes a mechanism to evaluate the quality goals of software artifacts by means of a quality framework. The study has the objective of organizing concepts that involve the definition of quality goals and their respective methods and metrics of evaluation and can be used to facilitate the task of defining quality plans. Besides that, the framework includes a process to evaluate software artifacts generated from a Software Process Line (SPrL). A Web tool that uses SPrL was used to facilitate the adequacy of the process to different contexts of projects
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