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Lightweight Diagramming for Lightweight Formal Methods: A Grounded Language Design

Authors Siddhartha Prasad , Ben Greenman , Tim Nelson , Shriram Krishnamurthi

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LIPIcs.ECOOP.2025.26.pdf
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ACM Subject Classification
  • Human-centered computing → Visualization toolkits
  • Software and its engineering → Constraint and logic languages
  • Software and its engineering → Specification languages
Keywords
  • formal methods
  • diagramming
  • visualization
  • language design

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Abstract

Tools such as Alloy enable users to incrementally define, explore, verify, and diagnose specifications for complex systems. A critical component of these tools is a visualizer that lets users graphically explore generated models. As we show, however, a default visualizer that knows nothing about the domain can be unhelpful and can even actively violate presentational and cognitive principles. At the other extreme, full-blown custom visualization requires significant effort as well as knowledge that a tool user might not possess. Custom visualizations can also exhibit bad (even silent) failures.
This paper charts a middle ground between the extremes of default and fully-customizable visualization. We capture essential domain information for lightweight diagramming, embodying this in a language. To identify key elements of lightweight diagrams, we ground the language design in both the cognitive science research on diagrams and in a corpus of 58 custom visualizations. We distill from these sources a small set of orthogonal primitives, and use the primitives to guide a diagramming language called Cope-and-Drag (CnD). We evaluate it on sample tasks, three user studies, and performance, and find that short CnD specifications consistently improve model comprehension over the Alloy default. CnD thus defines a new point in the design space of diagramming: a language that is lightweight, effective, and driven by sound principles.

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Siddhartha Prasad, Ben Greenman, Tim Nelson, and Shriram Krishnamurthi. Lightweight Diagramming for Lightweight Formal Methods: A Grounded Language Design. In 39th European Conference on Object-Oriented Programming (ECOOP 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 333, pp. 26:1-26:29, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/LIPIcs.ECOOP.2025.26

Author Details

Siddhartha Prasad
  • Brown University, Providence, RI, USA
Ben Greenman
  • University of Utah, Salt Lake City, UT, USA
Tim Nelson
  • Brown University, Providence, RI, USA
Shriram Krishnamurthi
  • Brown University, Providence, RI, USA

Funding

This work is partially supported by US NSF grant DGE-2208731.

Acknowledgements

We thank Tristan Dyer for sharing his insights on Sterling. We are also deeply grateful to Rob Goldstone for gently educating us about cognitive science. We thank Skyler Austen and Ji Won Chung for their feedback on study design and supplementary material.

Supplementary Materials

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