Which Technologies are Most Frequently Used by Data Scientists?Poster
Data collection is pervasively bound to our digital lifestyle. A recent study reports that the growth of the data created and replicated in 2020 was even higher than in the previous years to an astonishing global amount of 64.2 zettabytes of data. There are numerous companies whose services/products rely heavily on data analysis, and mining the produced data has already revealed great value for businesses in different sectors. In order to be able to support the professionals that do this job, typically known as data scientists, we first need to characterize them. To contribute towards this characterization, we conducted a public survey and in this work we present the results about a particular aspects of their life: the tools they use and need.
Thu 15 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:30 - 15:30 | Poster PresentationPosters and Showpieces / Graduate Consortium at Corridor of San Francesco Room Authors will attend only during breaks. | ||
10:30 5hPoster | Making the Invisible Visible in Computational NotebooksPoster Posters and Showpieces Mauricio Verano Merino Vrije Universiteit Amsterdam, L. Thomas van Binsbergen University of Amsterdam, Mazyar Seraj Eindhoven University of Technology DOI | ||
10:30 5hPoster | A technique to improve text editing on smartphonesPoster Posters and Showpieces Maria Giovanna Albanese Dipartimento di Informatica, Università di Salerno, Gennaro Costagliola Università di Salerno, Mattia De Rosa University of Salerno, Vittorio Fuccella University of Salerno DOI | ||
10:30 5hPoster | Chaldene: Towards Visual Programming Image Processing in Jupyter NotebooksPoster Posters and Showpieces Fei Chen , Philipp Slusallek German Research Center for Artificial Intelligence, Saarland University, Martin Muller Saarland University, Tim Dahmen German Research Center for Artificial Intelligence DOI | ||
10:30 5hPoster | Feasibility of using YouTube Conversations for Pair Programming Intent ClassificationPoster Posters and Showpieces Jacob Hart University of Tulsa, Jake AuBuchon University of Tulsa, Sandeep Kuttal The University of Tulsa DOI | ||
10:30 5hPoster | Evaluating Gender Bias in Pair Programming Conversations with an AgentPoster Posters and Showpieces Alex McAuliffe The University of Tulsa, Jacob Hart University of Tulsa, Sandeep Kuttal The University of Tulsa DOI | ||
10:30 5hPoster | Estimating Foraging Values and Costs in Stack OverflowPoster Posters and Showpieces Abim Sedhain The University of Tulsa, Sruti Srinivasa Ragavan Microsoft Research; School of EECS, Oregon State University, Brett McKinney The University of Tulsa, Sandeep Kuttal The University of Tulsa DOI | ||
10:30 5hPoster | Information Seeking Behavior for Bugs on GitHub: An Information Foraging PerspectivePoster Posters and Showpieces DOI | ||
10:30 5hPoster | Developers’ Foraging Behavior on Stack OverflowPoster Posters and Showpieces Vaishvi Diwanji The University of Tulsa, Abim Sedhain The University of Tulsa, Grey Bodi The University of Tulsa, Sandeep Kuttal The University of Tulsa DOI | ||
10:30 5hPoster | Which Technologies are Most Frequently Used by Data Scientists?Poster Posters and Showpieces Paula Pereira University of Minho, João Paulo Fernandes LIACC, Universidade do Porto, Porto, Portugal, Jácome Cunha University of Porto DOI | ||
10:30 5h | Tools for Creating UI Automation MacrosGC Poster Graduate Consortium Rebecca Krosnick University of Michigan DOI |