1,720,968 research outputs found

    A Novel Model-Driven Framework for Software and System Testing

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    One of the oldest yet still not satisfactorily solved problems of reusing existing software components is the unexpected behaviour of the components in component-based software. The reason is that these components are adequately tested for the present situation, that is, within the context they are supposed to be deployed at the moment, but hardly take into account all potentially possible contexts in which they might be deployed in the future. Thus, we must test a component for the context in which it is being reused. We propose an MDA-based framework to perform context-dependent testing of a component (MD-CDT). In MD-CDT, we model the component's usage, in the component-based software, using use cases and interaction diagrams. The test cases for context-dependent testing of the component are automatically generated from these scenarios using a MDA-based tool. We then evaluate the adequacy of these test cases by comparing them with the test suite that component developer had used to perform component testing at the time of component development which is provided as metadata. This comparison identifies weaknesses of component testing which assist us in devising test cases to test the component's functionality which was not fully tested during component testing. Finally, we test the component for the new context by executing the enriched test suite. This approach is novel in that it uses the test suite, which was executed by component developer, to determine the adequacy of the component testing. Another novelty of this approach is the use of the model-driven technology for performing context-dependent testing of components which makes our framework portable, interoperable and maintainable. We provide a prototype implementation of MD-CDT. We evaluate MD-CDT and the prototype tool on Lucene search engine.</p

    Efficient Use of Data Centres - Factors Affecting Service Availability in Large Organisations based on IT and Data Centre Selection

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    IT services are an increasingly critical part of conducting business and everyday life, the IT systems and data centres that host them are also improving. The relationship between how IT systems are designed and where they are placed between an array of different data centre options makes it a challenge to plan for appropriate levels of uptime for the services being provided. The current IT landscape provides organisations to target required availability of services in an effort to reduce costs and waste while meeting there required service levels. However, reference architectures for designing IT services often fail to take the data centre into account, while the design standards of data centres typically only take the power and cooling specifications into consideration and not the configuration of the IT infrastructure or the nature of the services they host. This paper shows that by spreading a highly available IT system between data centres of various tier ratings, as opposed to placing the same highly available IT system within a standalone data centre, superior levels of service availability can be achieved while potentially utilising lower cost of data centres

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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