Extending Jupyter with Multi-Paradigm Editors
Computational notebooks like the Jupyter programming environment have been popular,
particularly for developing data-driven applications. One of its main benefits is that it easily …
particularly for developing data-driven applications. One of its main benefits is that it easily …
Machine learning experiment management tools: a mixed-methods empirical study
Abstract Machine Learning (ML) experiment management tools support ML practitioners and
software engineers when building intelligent software systems. By managing large numbers …
software engineers when building intelligent software systems. By managing large numbers …
Supporting Software Developers Through a Gaze-Based Adaptive IDE
Highly complex systems, such as software development tools, constantly gain features and,
consequently, complexity and, thus, risk overwhelming or distracting the user. We argue that …
consequently, complexity and, thus, risk overwhelming or distracting the user. We argue that …
Usability and Adoption of Graphical Data-Driven Development Tools
T Weber, S Mayer - arXiv preprint arXiv:2311.05540, 2023 - arxiv.org
Software development of modern, data-driven applications still relies on tools that use
interaction paradigms that have remained mostly unchanged for decades. While rich forms …
interaction paradigms that have remained mostly unchanged for decades. While rich forms …
Understanding Satisfaction Factors of Personalized Body-weight Exercises
HY Kim, DY Lim, S Song - … Publication of the 2023 Conference on …, 2023 - dl.acm.org
COVID-19 has accelerated mobile body-weight fitness services, enabling users to work out
at home. Many body-weight exercise recommendation services, claiming to provide …
at home. Many body-weight exercise recommendation services, claiming to provide …