Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can
generate code to solve a variety of problems expressed in natural language. This …

The research field of end-user programming has largely been concerned with helping non-
experts learn to code sufficiently well in order to achieve their tasks. Generative AI stands to …

Despite efforts to augment or replace the 2-dimensional spreadsheet grid with formal data
structures such as arrays and tables to ease formula authoring and reduce errors, the …

Writing formulas on the spreadsheet grid is arguably the most widely practiced form of
programming. Still, studies highlight the difficulties experienced by end-user programmers …

Code-generating large language models (LLMs) are transforming programming. Their
capability to generate multi-step solutions provides even non-programmers a mechanism to …

Ill-structured problems demand that people adopt sophisticated strategies for planning,
seeking support, and using available resources along their work process. These practices …

Spreadsheet programs for interactive surfaces have limited manipulations capabilities and
are often frustrating to use. One key reason is that the spreadsheet grid creates a layer that …

Data scientists have adopted a popular design pattern in programming called the fluent
interface for composing data wrangling code. The fluent interface works by combining …

As developers program and debug, they continuously edit and run their code, a behavior
known as edit-run cycles. While techniques such as live programming are intended to …

Data workers usually seek to understand the semantics of data wrangling scripts in various
scenarios, such as code debugging, reusing, and maintaining. However, the understanding …