390,496 research outputs found

    Process assessment for use in very small enterprises: the NOEMI assess-ment methodology

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    This paper relates to the development and the experimentation of an IT process assessment methodology especially designed to be used in very small enterprises (VSEs). This methodology, called NOEMI , has been developed as a critical part of a public research project of the Centre de Recherche Public Henri Tudor (Luxembourg). Initially the main objective of the NOEMI process assessment methodology was to contribute directly to the implementation of a collaborative IT-sourcing model, developed in the same re-search project. The process portfolio aims at a whole coverage of the usual IT-practices in VSEs. It is business value-driven and designed in five process areas: infrastructure, service support, management, security, and documentation. The processes themselves are based on a combined approach of ISO/IEC 15504 and the IT Infrastructure Library. The capability model defined in the NOEMI methodology explores the gap between level 0 and level 1 of ISO/IEC 15504 in order to match in a more accurate manner with the reality of VSEs. The capability profile has four levels and is performed for the process areas and not for the processes themselves, so allowing easy comparison between VSEs. We are now performing the seventh experimentation of the NOEMI assessment methodology. Each case has been a success according to the feedback of the VSEs. And we are considering the transfer of our methodology to French and Belgian partners through dissemination projects. It leads us to promote the NOEMI assessment methodology as a public package tool especially designed for use in a VSE context, which aims to enhance business value through IT. This paper introduces the methodology and considerations based on case studies.Assessment methodology, capability model, process portfolio, very small enterprise, service management, SPICE, improvement program, ITIL.

    XRound : A reversible template language and its application in model-based security analysis

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    Successful analysis of the models used in Model-Driven Development requires the ability to synthesise the results of analysis and automatically integrate these results with the models themselves. This paper presents a reversible template language called XRound which supports round-trip transformations between models and the logic used to encode system properties. A template processor that supports the language is described, and the use of the template language is illustrated by its application in an analysis workbench, designed to support analysis of security properties of UML and MOF-based models. As a result of using reversible templates, it is possible to seamlessly and automatically integrate the results of a security analysis with a model. (C) 2008 Elsevier B.V. All rights reserved

    Information standards to support application and enterprise interoperability for the smart grid

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    Copyright @ 2012 IEEE.Current changes in the European electricity industry are driven by regulatory directives to reduce greenhouse gas emissions, at the same time as replacing aged infrastructure and maintaining energy security. There is a wide acceptance of the requirement for smarter grids to support such changes and accommodate variable injections from renewable energy sources. However the design templates are still emerging to manage the level of information required to meet challenges such as balancing, planning and market dynamics under this new paradigm. While secure and scalable cloud computing architectures may contribute to supporting the informatics challenges of the smart grid, this paper focuses on the essential need for business alignment with standardised information models such as the IEC Common Information Model (CIM), to leverage data value and control system interoperability. In this paper we present details of use cases being considered by National Grid, the GB transmission system operator for information interoperability in pan-network system management and planning.This study is financially supported by the National Grid, UK

    Using Ontologies for the Design of Data Warehouses

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    Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire wide knowledge of the domain, thus requiring a high level of expertise and becoming it a prone-to-fail task. Based on our experience, we have detected a set of situations we have faced up with in real-world projects in which we believe that the use of ontologies will improve several aspects of the design of data warehouses. The aim of this article is to describe several shortcomings of current data warehouse design approaches and discuss the benefit of using ontologies to overcome them. This work is a starting point for discussing the convenience of using ontologies in data warehouse design.Comment: 15 pages, 2 figure

    A Model-Driven Approach for Business Process Management

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    The Business Process Management is a common mechanism recommended by a high number of standards for the management of companies and organizations. In software companies this practice is every day more accepted and companies have to assume it, if they want to be competitive. However, the effective definition of these processes and mainly their maintenance and execution are not always easy tasks. This paper presents an approach based on the Model-Driven paradigm for Business Process Management in software companies. This solution offers a suitable mechanism that was implemented successfully in different companies with a tool case named NDTQ-Framework.Ministerio de Educación y Ciencia TIN2010-20057-C03-02Junta de Andalucía TIC-578
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