1,720,956 research outputs found
Towards Agile Academia: An Approach to Scientific Paper Writing Inspired by Software Engineering
No full textThe construction of scientific papers is performed in service of the greater scientific community. This iterative process is, in effect, an academic economy, where all members benefit from well-written papers. However, many published scientific papers are poorly written; they often lack sufficient detail to allow replication, there is improper usage of citations or a lack of regard to relevant work, reporting is vague or without linked empirical data to allow verification, figures do not correspond to text or are non-sensical, literary elements, e.g., bulleted lists, are used ineffectively, formatting renders certain sections unreadable, and grammatical errors abound. The issues of paper quality are widespread and of varying concern. Similarly, the development of software systems is rife with many processual issues, from high-level architectural flaws to small developer errors, e.g., setting a Boolean value to true instead of false, which can be disastrous in large systems. As an answer to these longstanding concerns, software development methods have emerged over decades, most notably, the Waterfall and Agile approaches. These methods have established software engineering as a professional discipline backed by rigorous, empirical evaluation on many systems. A scientific paper is, conceptually, a system to be developed, much like a software system: it has a name, particular sections codified for different purposes, e.g., as the abstract summarizes and the conclusion concludes, it has an author or authors, it goes through several iterations of refinement, it may reference outside systems and it is eventually released to the public, and possibly maintained in future versions. It is posited that, due to the relatively small nature of most scientific papers (4-20 pages), the Agile method of software development can be used to produce more reliable scientific papers, in a more efficient manner and with better availability to readers, by employing the principles of open-source software, and a version control system, e.g., Git. Agile methods consistently provide deliverables of higher quality; this work intends to demonstrate that Agile can be adapted to streamline the scientific writing process and improve publication quality
On the Provenance of Software Systems: Automating Software Traceability with Knowledge Graph and Large Language Model Synergy
No full textThe present dissertation delineates a system that enables those engaged in software development to automatically generate and maintain project life cycle provenance. All projects are implemented and made manifest with the development of artifacts, e.g., papers, code files, etc. Tools exist to accelerate artifact creation, but little focus is paid to the processes that produce them. In terms of Ontology, or, from Ancient Greek, the study of being, the two most basic entities in reality are Continuant and Occurrent, or, roughly, “Artifact” and “Process”. This dissertation posits that for any created artifact, its process of creation, i.e., its life cycle provenance, must also be captured and maintained. Artifacts are often delivered without an explicit trace of their evolution. This is particularly unacceptable for critical systems, where requirements documents, codebases, and other meta-artifacts are revisited without a corresponding history of how or why they came to be, leading to confusion and rework.
While the software development life cycle (SDLC) incorporates meta-artifacts like traceability matrices to improve artifact provenance, these are typically informal, heavy with natural language, and lack structured explainability. This work proposes that each artifact should be attended by a machine-readable, human-interpretable, extensible provenance record, implemented in the form of a knowledge graph, backed by well-established ontologies. The developed system, ProvTracer, leverages structured knowledge via PROV-O and the Basic Formal Ontology alongside generative natural language capabilities via the Generative Pretrained Transformer (GPT) series of Multimodal Large Language Models (MLLMs), to create real-time, traceable, and explainable links between development activities and their resulting artifacts. By capturing these provenance trace links automatically through multimodal signals, e.g., screenshots, peripheral device input, etc., ProvTracer aims to bridge the gap between implicit processes and explicit traces, enabling developers to understand, query, maintain, integrate, and trust the evolution of their projects and systems.
The synergy between knowledge graphs and MLLMs enables a novel form of interactive, explainable software development. Natural language queries of provenance trace link knowledge graphs can reduce information overload, extract developer rationale and decision histories, support task assignment, and a range of project management activities. This aligns with a burgeoning trend in research demonstrating that structured knowledge improves machine learning trust, transparency and reproducibility. The present dissertation addresses the challenges of traceability and explainability in the SDLC by presenting a system that automatically captures artifact provenance and operationalizes it for practical use in real-world software development
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
No full text“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
No full textWe 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
No full textWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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