1,721,008 research outputs found

    Automated functionality testing through GUIs

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    Model-based GUI testing (MGT) is emerging as a promising approach for testing applications with a graphical user interface (GUI). Currently, test models in MGT approaches are close to the GUI implementation with limited ability to represent abstract actions. This paper introduces the Action-Event Framework (AEF), a MGT framework. This framework helps testers abstract away from low-level details of the GUI under test and generate test cases in a behaviour-oriented way. In this framework, testers can perform both business logic testing and GUI testing in a reusable manner. At the core of AEF is a mapping language that allows test engineers to map abstract actions to GUI implementations. The paper proposes several coverage criteria based on links between abstract actions and event sequences. Tool support is provided for several steps of the framework. To evaluate AEF, a case study on a task manager is conducted to determine the time necessary to test the GUI, the types of defects that can be detected, and the correlation between the proposed coverage criteria and code coverage

    Visual Data Mining

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    Visual Data Mining

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    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

    Supporting Data Analysis Through Visualizations

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    Information visualization is a process that transforms information into a visual form, thus enabling the user to observe it. By graphically presenting data, the user may discover new and useful properties, their correlations, and also detect possible deviations from the expected values. In this paper, after discussing some ideas about possible fruitful use of visualization for data mining, we present a visualization module we are developing in the context of a project funded by the European Union. The project aims at offering on-line innovative services to support the business processes of trade fairs, both real and/or Web-based virtual fair. This module generates data visualizations on the WWW, which are exploited to facilitate human-computer interaction, to allow easy access to the stored data, and to present the retrieved information in appropriate ways, thus helping users in their data analysis activities
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