13 papers · ranked by Valyu relevance
Sophie Williams, Jonas Schuett, Markus Anderljung
Foundation models – models trained on broad data that can be adapted to a wide range of downstream tasks – can pose significant risks, ranging from intimate image abuse, cyberattacks, to bioterrorism. To reduce these risks, policymakers are starting to impose obligations on the developers of these models. However…
Peerachai Banyongrakkul, Mansooreh Zahedi, Patanamon Thongtanunam, Christoph Treude + 1 more
—Pre-trained models (PTMs) have gained widespread popularity and achieved remarkable success across various fields, driven by their groundbreaking performance and easy accessibility through hosting providers. However, the challenges faced by downstream developers in reusing PTMs in software systems are less explored.…
Connor Yang, J. Wagner, Emily Dolson, Luis Zaman + 1 more
1 Undergraduate Research Opportunities Program 2 Department of Ecology and Evolutionary Biology 3 Center for the Study of Complex Systems 4 Michigan Institute for Data and AI in Society 5 University of Michigan, Ann Arbor, United States 6 Professorial Assistantship Program 7 Department of Computer Science and…
Patrick Lam, Jens Dietrich, David J. Pearce
However, components evolve at their own pace. This imposes obligations on and yields benefits for downstream developers, especially since changes can be breaking, requiring additional downstream work to adapt to. Upgrading too late leaves downstream vulnerable to security issues and missing out on useful improvements…
Johannes Wachs
The Russian invasion of Ukraine has caused large scale destruction, significant loss of life, and the displacement of millions of people. Besides those fleeing direct conflict in Ukraine, many individuals in Russia are also thought to have moved to third countries. In particular the exodus of skilled human capital…
Quentin Perez, Christelle Urtado, Sylvain Vauttier
Developers are extracted from 17 open-source projects from GitHub. Projects are chosen that use the java programming language, the Spring framework and Maven/Gradle build tools. Along with these developers, 24 software engineering metrics are extracted for each of them. These metrics are either calculated by analyzing…
Simon Bray, Matthias Bernt, Nicola Soranzo, Marius van den Beek + 7 more
There are thousands of well-maintained high-quality open-source software utilities for all aspects of scientific data analysis. For over a decade, the Galaxy Project has been providing computational infrastructure and a unified user interface for these tools to make them accessible to a wide range of researchers. In…
Tracy L. Fuentes
Urban patterns reflect the people who build and manage urban space. However, most field research on residential vegetation focuses on household or neighborhood preferences, norms, or socioeconomic drivers of observed patterns and plant traits. Very few urban ecology researchers have studied residential real estate…
Elizabeth Gargon, Paula R. Williamson, Bridget Young
Objectives The objective of the study was to explore core outcome set (COS) developers' experiences of their work to inform methodological guidance on COS development and identify areas for future methodological research. Study Design and Setting Semistructured, audio-recorded interviews with a purposive sample of 32…
Jeremy Li, Alex Rubinsteyn, Sergey Feldman, Timothy O’Donnell + 18 more
Scientific computing has become a central component of modern scientific discovery. Yet many computational tools are developed by small, specialized teams under incentives that encourage the release of rapidly prototyped tooling without commensurate attention to engineering concerns, including performance and…
Mahnoor Zulfiqar, Michael R. Crusoe, Birgitta König-Ries, Christoph Steinbeck + 2 more
Scientific workflows facilitate the automation of data analysis tasks by integrating various software and tools executed in a particular order. To enable transparency and reusability in workflows, it is essential to implement the FAIR principles. Here, we describe our experiences implementing the FAIR principles for…
Glaucia Melo, Luis Fernando Lins, Paulo Alencar, Don A. Cowan
—Software Development (SD) is remarkably dynamic and is critically dependent on the knowledge acquired by the project's software developers as the project progresses. Software developers need to understand large amounts of information related to the tasks at hand. This information (context) is often not explicit, as it…
Leo Silva, Marília Gurgel de Castro, Miriam Bernardino Silva, Milena Santos + 4 more
'Milena Santos' 'Uirá Kulesza' 'Margarida Lima' 'Henrique Madeira' 'Stefan Wagner'] Although human factors (e.g., cognitive functions, behaviors and skills, human error models, etc.) are key elements to improve software development productivity and quality, the role of software developers’ emotions and their…