Effective collaboration in data science can leverage domain expertise from each team
member and thus improve the quality and efficiency of the work. Computational notebooks …

Source code written in textual programming languages is typically edited in integrated
development environments (IDEs) or specialized code editors. These tools often display …

Natural language (NL) programming has become more approachable due to the powerful
code-generation capability of large language models (LLMs). This shift to using NL to …

For over a decade, technology has been available to support design teams to operate in
diverse physical locations and time zones. Despite this, until relatively recently designers …

Real-time collaborative programming (RCP) entails developers working simultaneously,
regardless of their geographic locations. RCP differs from traditional asynchronous online …

Novice programmers often have trouble installing, configuring, and managing disparate
tools (eg, version control systems, testing infrastructure, bug trackers) that are required to …

OT (Operational Transformation) was invented for supporting real-time co-editors in the late
1980s and has evolved to become core techniques widely used in today's working co …

One-on-one tutoring is effective for learning computer science since a tutor can work
alongside a student and provide tailored feedback on their code. However, translating this …

Real-time collaborative programming is an emerging approach that supports a team of
programmers to view and edit shared source code at the same time. Each programmer can …

COVID-19 accelerated the trend toward remote software development, increasing the need
for tightly-coupled synchronous collaboration. Existing tools and practices impose high …