1,721,000 research outputs found
Distributed ledgers to support revenue-sharing business consortia: a Hyperledger-based implementation
No full textPrivate distributed ledgers (DLs) appear to be more successful than public blockchains at supporting innovative business ecosystems in the form of enterprise consortia. In fact, by untying transactions from the native cryptocurrencies of public blockchains, consortium DLs can smoothly interface with the various sectors of the traditional economy with the capability to innovate it. Furthermore, eliminating mining greatly increases the computational efficiency of these technologies compared to public blockchains. So far, consortium DLs have been used primarily for traceability and document management. Now the time is ripe to move forward, impacting business and profitability. We describe here a consortium model based on distributed ledger technology that applies the old principle that “unity is strength” by deploying the economic method of Revenue Sharing as a smart contract. We illustrate the model through a prototype implementation on Hyperledger Fabric, the most widely adopted among the platforms for consortium distributed ledgers
Human-Agent versus Human Pull Requests: A Testing-Focused Characterization and Comparison
Full text linkAI-based coding agents are increasingly integrated into software development workflows, collaborating with developers to create pull requests (PRs). Despite their growing adoption, the role of human-agent collaboration in software testing remains poorly understood. This paper presents an empirical study of 6,582 human-agent PRs (HAPRs) and 3,122 human PRs (HPRs) from the AIDev dataset. We compare HAPRs and HPRs along three dimensions: (i) testing frequency and extent, (ii) types of testing-related changes (code-and-test co-evolution vs. test-focused), and (iii) testing quality, measured by test smells. Our findings reveal that, although the likelihood of including tests is comparable (42.9% for HAPRs vs. 40.0% for HPRs), HAPRs exhibit a larger extent of testing, nearly doubling the test-to-source line ratio found in HPRs. While test-focused task distributions are comparable, HAPRs are more likely to add new tests during co-evolution (OR = 1.79), whereas HPRs prioritize modifying existing tests. Finally, although some test smell categories differ statistically, negligible effect sizes suggest no meaningful differences in quality. These insights provide the first characterization of how human-agent collaboration shapes testing practices
Business-Savvy Blockchains with Gamification: A Framework for Collaborative Problem Solving
No full textThis paper proposes a design pattern that combines gamification dynamics along with blockchains for the purpose of using blockchain technology in a business-savvy fashion as support to a framework for collaborative problem solving, i.e., leveraging gamification to incentivize people to produce efficient, freely available and easily accessible solutions in the optimisation research and the potentiality of blockchain technology to safekeep the intellectual property on such solutions, marking the progress of problem solving as intellectual capital. The proposed gamification design pattern is then instantiated in the context of optimisation
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
- …
