How Scientists Use Jupyter Notebooks: Goals, Quality Attributes, and Opportunities
This program is tentative and subject to change.
Computational notebooks are intended to prioritize the needs of scientists, but little is known about how scientists interact with notebooks, what requirements drive scientists’ software development processes, or what tactics scientists use to meet their requirements. We conducted an observational study of 20 scientists using Jupyter notebooks for their day-to-day tasks, finding that scientists prioritize different quality attributes depending on their goals. A qualitative analysis of their usage shows (1) a collection of goals scientists pursue with Jupyter notebooks, (2) a set of quality attributes that scientists value when they write software, and (3) tactics that scientists leverage to promote quality. In addition, we identify ways scientists incorporated AI tools into their notebook work. From our observations, we derive design recommendations for improving computational notebooks and future programming systems for scientists. Key opportunities pertain to helping scientists create and manage state, dependencies, and abstractions in their software, enabling more effective reuse of clearly-defined components.
This program is tentative and subject to change.
Thu 1 MayDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | |||
11:00 15mTalk | Code Today, Deadline Tomorrow: Procrastination Among Software Developers Research Track Zeinabsadat Saghi University of Southern California, Thomas Zimmermann University of California, Irvine, Souti Chattopadhyay University of Southern California | ||
11:15 15mTalk | "Get Me In The Groove": A Mixed Methods Study on Supporting ADHD Professional Programmers Research Track Kaia Newman Carnegie Mellon University, Sarah Snay University of Michigan, Madeline Endres University of Massachusetts Amherst, Manasvi Parikh University of Michigan, Andrew Begel Carnegie Mellon University | ||
11:30 15mTalk | Hints Help Finding and Fixing Bugs Differently in Python and Text-based Program Representations Research Track Ruchit Rawal Max Planck Institute for Software Systems, Victor-Alexandru Padurean Max Planck Institute for Software Systems, Sven Apel Saarland University, Adish Singla Max Planck Institute for Software Systems, Mariya Toneva Max Planck Institute for Software Systems Pre-print | ||
11:45 15mTalk | How Scientists Use Jupyter Notebooks: Goals, Quality Attributes, and Opportunities Research Track Ruanqianqian (Lisa) Huang University of California, San Diego, Savitha Ravi UC San Diego, Michael He UCSD, Boyu Tian University of California, San Diego, Sorin Lerner University of California at San Diego, Michael Coblenz University of California, San Diego | ||
12:00 15mTalk | Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations Journal-first Papers Miguel Setúbal Federal University of Ceará, Tayana Conte Universidade Federal do Amazonas, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Allysson Allex Araújo Federal University of Cariri | ||
12:15 15mTalk | Reputation Gaming in Crowd Technical Knowledge Sharing Journal-first Papers Iren Mazloomzadeh École Polytechnique de Montréal, Gias Uddin York University, Canada, Foutse Khomh Polytechnique Montréal, Ashkan Sami Edinburgh Napier University |