Direct Manipulation and Natural Language Programming, Together at Last?

📅 2026-08-26
📈 Citations: 0
Influential: 0
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🤖 AI Summary
研究提出一种结合直接操作和自然语言编程的框架,通过编辑语言作为接口,支持多种编程交互方式,并探讨了这种结合如何影响编程过程。
📝 Abstract
Decades of programming languages research has contributed novel approaches to program editing that go beyond modifying text, including direct manipulation programming, structure editing, and automated refactoring tools. However, the rapid growth of natural language programming largely reinforces a view of programs as text and program editing as (unstructured) text transformation. How can we develop unified programming systems that bridge the gap between these approaches, supporting multiple editing paradigms in concert? We take a first step toward answering these questions by introducing a framework that enables program editing via both direct manipulation and natural language, and instantiate this framework in a variant of the $\texttt{cartokit}$ direct manipulation programming system. Our key insight is to treat programs as sequences of structured edits and to use an edit language as a shared interface for both direct manipulation and natural language interactions, leveraging constrained decoding to support the latter. Using our instantiation, we conducted a within-subjects study ($N$=18) to understand how the combination of direct manipulation and natural language as editing modalities changes the programming process compared to each modality alone. Perhaps surprisingly, we found that study participants overwhelmingly chose to edit via direct manipulation when both modalities were available, performing just 6.14% of edits via natural language. Our thematic analysis of study sessions revealed that direct manipulation aided task decomposition, encouraged incremental editing, and helped mitigate known challenges in natural language programming related to understanding model capabilities and model-generated code. Our edit-based framework and study findings lay out a possible pathway for future research on programming systems that blend natural language with alternative editing modalities.
Problem

Research questions and friction points this paper is trying to address.

direct manipulation programming
natural language programming
unified programming systems
editing paradigms
Innovation

Methods, ideas, or system contributions that make the work stand out.

direct manipulation
natural language programming
structured edits
edit language
constrained decoding
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