tylr: a tiny tile-based structure editor

Moon, David A.; Blinn, Andrew; Omar, Cyrus

doi:10.1145/3546196.3550164

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…The Cornell Program Synthesizer and MPS [276] are notably language-agnostic, allowing tool builders to specify language-and domain-specific definitions. Modern designs [256,276] aim to emulate familiar text editing across structural boundaries. Others [135,372] more closely resemble mainstream refactoring and autocomplete UIs, which augment unrestricted text editing with structural interactions.…”

Section: Introductionmentioning

confidence: 99%

Understanding and Enhancing JSON-based DSL Interfaces for Visualization

McNutt¹

2023

Preprint

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Domain-specific languages represented in data serialization formats (such as Javascript Object Notation or JSON) are an increasingly common means to control numerous systems.These range from database queries to application configuration, narrative generation, Twitter bots, data visualization, and many other areas.These languages allow potentially unsophisticated human users to concisely specify their intent through logic and notation that is relevant to task domain.Further, they provide a means for computational agents to easily manipulate that form, allowing for powerful recommendation engines and systems of automated analyses.In this thesis, we consider how end-user agency might be enhanced and maintained through the design of tools that support these domain-specific languages, as well as through the study of the design of the languages themselves.In support of this goal, we conducted four interconnected projects which variously study how JSON-based DSLs are designed, how abstraction can be integrated into those languages, how interfaces can be designed to specifically facilitate their manipulation, as well as how those programs might be automatically validated.Through these projects, we demonstrate that giving primacy to these textual interfaces as design elements can be valuable for end users.We find that this style of interventions are useful for helping end users learn, use, and re-use programs written in these languages.We primarily consider languages focused on data visualization tasks, as there has been substantial work in the visualization research community on this form of interface—although the lessons learned could be applied to any relevant domain.

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Section: Introductionmentioning

confidence: 99%

Understanding and Enhancing JSON-based DSL Interfaces for Visualization

McNutt¹

2023

Preprint

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“…The Cornell Program Synthesizer and MPS [16] are notably language-agnostic, allowing tool builders to specify language-and domain-specific definitions. Modern designs [16], [17] aim to emulate familiar text editing across structural boundaries. Others [3], [18] more closely resemble mainstream refactoring and autocomplete UIs, which augment unrestricted text editing with structural interactions.…”

Section: Introductionmentioning

confidence: 99%

No Grammar to Rule Them All: A Survey of JSON-style DSLs for Visualization

McNutt

2022

IEEE Trans. Visual. Comput. Graphics

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Augmenting text-based programming with rich structured interactions has been explored in many ways. Among these, projectional editors offer an enticing combination of structure editing and domain-specific program visualization. Yet such tools are typically bespoke and expensive to produce, leaving them inaccessible to many DSL and application designers.We describe a relatively inexpensive way to build rich projectional editors for a large class of DSLs-namely, those defined using JSON. Given any such JSON-based DSL, we derive a projectional editor through (i) a language-agnostic mapping from JSON Schemas to structure-editor GUIs and (ii) an API for application designers to implement custom views for the domainspecific types described in a schema. We implement these ideas in a prototype, Prong, which we illustrate with several examples including the Vega and Vega-Lite data visualization DSLs.

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Projectional Editors for JSON-Based DSLs

McNutt,

Chugh

2023

2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

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tylr: a tiny tile-based structure editor

Cited by 5 publications

References 19 publications

Understanding and Enhancing JSON-based DSL Interfaces for Visualization

Understanding and Enhancing JSON-based DSL Interfaces for Visualization

No Grammar to Rule Them All: A Survey of JSON-style DSLs for Visualization

Projectional Editors for JSON-Based DSLs

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