1,720,964 research outputs found
Unveiling Competition Dynamics in Mobile App Markets through User Reviews
No full text<p>This replication package contains the datasets and evaluation results for the research titled <i>"<strong>Unveiling Competition Dynamics in Mobile App Markets through User Reviews"</strong>, </i>by Quim Motger, Xavier Franch, Vincenzo Gervasi and Jordi Marco.</p><p>Latest version of the full code is available at: <a href="https://github.com/quim-motger/app-market-analysis">https://github.com/quim-motger/app-market-analysis</a></p>
Unveiling Competition Dynamics in Mobile App Markets through User Reviews
No full text<p>This replication package contains the datasets and evaluation results for the research titled <i>"<strong>Unveiling Competition Dynamics in Mobile App Markets through User Reviews"</strong>, </i>by Quim Motger, Xavier Franch, Vincenzo Gervasi and Jordi Marco.</p><p>Latest version of the full code is available at: <a href="https://github.com/quim-motger/app-market-analysis">https://github.com/quim-motger/app-market-analysis</a></p>
Conversational Agents in Software Engineering - Replication Package
No full textReplication Package for the research method conducted in the paper "Conversational Agents in Software Engineering
Conversational Agents in Software Engineering - Replication Package
No full textReplication Package for the research method conducted in the paper "Conversational Agents in Software Engineering
T-FREX: A Transformer-based Feature Extraction Method from Mobile App Reviews
No full textT-FREX is a transformer-based feature extraction method for mobile app reviews based on fine-tuning Large Language Models (LLMs) for a named entity recognition task. We collect a dataset of ground truth features from users in a real crowdsourced software recommendation platform, and we use this dataset to fine-tune multiple LLMs under different data configurations. We assess the performance of T-FREX with respect to this ground truth, and we complement our analysis by comparing T-FREX with a baseline method from the field. Finally, we assess the quality of new features predicted by T-FREX through an external human evaluation. Results show that T-FREX outperforms on average the traditional syntactic-based method, especially when discovering new features from a domain for which the model has been fine-tuned.</p
<b>MApp-KG</b>: Constructing an RDF-based Knowledge Graph from Mobile App Repositories
No full textThis complementary package is the official description of MApp-KG, a resource and software-based process for generating an RDF-based knowledge graph tailored for a catalogue of mobile apps and their associated natural language documents, with a special focus on the task of feature extraction (i.e., extraction of functionalities or capabilities of a given mobile app satisfying a distinct purpose or need). Our key contributions include: (i) an end-to-end mechanism for the construction of a domain-specific knowledge graph of mobile apps and related documents; (ii) a schema-based extension to support deductive knowledge for explicit modelling of app features; (iii) a continuously updated instance of MApp-KG publicly available for further research in the field, augmented with app feature mentions; and (iv) a data snapshot of MApp-KG to facilitate reuse in further studies. In addition to the self-contained contents included in this replication package, we also refer to software resources developed within the context development of MApp-KG stored and evolved in a GitHub repository:AppDataScannerService. Python-based data collection service integrating access to multiple, decentralized heterogeneous mobile app repositories. The service covers two main data collection mechanisms: web scraping and API consumption. Available at: https://github.com/gessi-chatbots/app_data_scanner_service.KnowledgeGraphRepository. Java-based service acting as a repository component between the data collection service and the database management system. It encompasses all CRUD operations for the entities of the data model, as well as some advanced queries based on inductive knowledge generation on the knowledge graph instance. The database is developed using GraphDB4, an RDF Graph Database compliant with W3C standard. Available at: https://github.com/gessi-chatbots/app_data_repository.Both software resources are configured as standalone web services exposing a REST API for HTTP-based communication using JSON for data transfer. Instructions for configuring, building and running these services are detailed in their respective README files.MApp-KG is available as a free, public access repository (read-only). More details and usage instructions for MApp-KG are available in the README file in this replication package (including SPARQL query examples to consume the public instance of MApp-KG).</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
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