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Debugging is famously one the hardest parts in programming. In this paper, wetackle the question: what does a debugging environment look like when we takeinteractive visualization as a central design principle? We introduce Anteater,an interactive visualization system for tracing and exploring the execution ofPython programs. Existing systems often have visualization components built ontop of an existing infrastructure. In contrast, Anteater's organization oftrace data enables an intermediate representation which can be leveraged toautomatically synthesize a variety of visualizations and interactions. Theseinteractive visualizations help with tasks such as discovering importantstructures in the execution and understanding and debugging unexpectedbehaviors. To assess the utility of Anteater, we conducted a participant studywhere programmers completed tasks on their own python programs using Anteater.Finally, we discuss limitations and where further research is needed.

Anteater: Interactive Visualization of Program Execution Values in Context