Pith. sign in

REVIEW 2 cited by

Domain-Centered Support for Layout, Tasks, and Specification for Control Flow Graph Visualization

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2108.03047 v2 pith:EKLPUYHI submitted 2021-08-06 cs.HC

classification cs.HC
keywords drawingcfgconfcfgsexpertsgraphlayoutssystemsvisualization
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Computing professionals in areas like compilers, performance analysis, and security often analyze and manipulate control flow graphs (CFGs) in their work. CFGs are directed networks that describe possible orderings of instructions in the execution of a program. Visualizing a CFG is a common activity in developing or debugging computational approaches that use them. However, general graph drawing layouts, including the hierarchical ones frequently applied to CFGs, do not capture CFG-specific structures or tasks and thus the resulting drawing may not match the needs of their audience, especially for more complicated programs. While several algorithms offer flexibility in specifying the layout, they often require expertise with graph drawing layouts and primitives that these potential users do not have. To bring domain-specific CFG drawing to this audience, we develop CFGConf, a library designed to match the abstraction level of CFG experts. CFGConf provides a JSON interface that produces drawings that can stand-alone or be integrated into multi-view visualization systems. We developed CFGConf through an interactive design process with experts while incorporating lessons learned from previous CFG visualization systems, a survey of CFG drawing conventions in computing systems conferences, and existing design principles for notations. We evaluate CFGConf in terms of expressiveness, usability, and notational efficiency through a user study and illustrative examples. CFG experts were able to use the library to produce the domain-aware layouts and appreciated the task-aware nature of the specification.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. PrettiSmart: Visual Interpretation of Smart Contracts via Simulation

    cs.HC 2024-12 conditional novelty 6.0 of 10

    A fuzzing-based simulator and two visual views help cryptocurrency investors understand smart contract behavior without reading source code.

  2. PonziLens+: Visualizing Bytecode Actions for Smart Ponzi Scheme Identification

    cs.HC 2024-12 conditional novelty 6.0 of 10

    PonziLens+ extracts four semantic action types from Ethereum bytecode and visualizes them in three linked modules, enabling users to identify smart Ponzi schemes, including variants that avoid typical patterns.

Pith tools