1,720,952 research outputs found

    Analyzing Similar Build Configurations Across Different GitHub Projects

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    GitHub is the home of hundreds of millions of Open Source Software(OSS) repositories where users collaborate on projects and find inspiration for new ideas. Some of these projects have certain build configurations set up to make building, testing, and deploying the software more time-efficient and less error-prone. However, setting up the correct configurations usually requires a lot of time and a high level of knowledge. This paper aims to analyze the current practices for setting up build configurations like the Maven files and GitHub actions while clustering some of these practices based on the scope of the project. Thus, we provide useful information in terms of discovering similar projects based on the build configurations and discuss the feasibility of build configuration analysis. In summary, we provide a comprehensive analysis of project similarity based on Maven build configurations and workflow files, shedding light on the importance of build configurations for identifying similar projects, and laying the groundwork for future exploration in the realm of build configuration analysis.https://doi.org/10.5281/zenodo.10577178 An additional online appendix containing the datasets extracted, the source code of the project, additional images generated, etc.CSE3000 Research ProjectComputer Science and Engineerin

    Measuring students’ progress in Machine Learning: A case study of Decision Trees and Random Forests

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    Machine Learning (ML) is a rapidly growing field, therefore ensuring that students deeply understand such concepts is of key importance in order to certify that they are prepared for the challenges and opportunities of the future workforce. Despite this, literature on teaching ML and assessing students' understanding with regard to this field is scarce. Hence, this research aims to provide an extensive analysis of the best practice within the ML field, with the main focus of the study being the decision trees and random forests classifiers. An analysis of learning outcomes is conducted using Bloom's taxonomy, guidelines for creating assessments that reflect students' understanding levels are provided and a series of interviews and surveys are conducted in order to analyze the need for certain questions during the course examination. The results are then analyzed and key findings such as the need to structure the course such that decision trees are assessed as a prerequisite for learning random forests are further discussed. The research is concluded with a set of recommendations that could be integrated into future editions of the course in order to assess student progress in a more efficient manner.CSE3000 Research ProjectComputer Science and Engineerin

    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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