Interviews with nine data-intensive programmers identify three cross-cutting debugging challenges that visualization can address via evidence alignment, expectation comparison, and state tracing.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
FluidViews provides a web-based framework with drag-and-drop token filters and highlight tokens for fluid interaction in heterogeneous multi-view visual analytics.
citing papers explorer
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Debugging as Evidence-Driven Reasoning: Visualization Opportunities in Data-Intensive Programming
Interviews with nine data-intensive programmers identify three cross-cutting debugging challenges that visualization can address via evidence alignment, expectation comparison, and state tracing.
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FluidViews: Adaptive Drag-and-Drop Token Filters for Heterogeneous Multi-View Visual Analytics
FluidViews provides a web-based framework with drag-and-drop token filters and highlight tokens for fluid interaction in heterogeneous multi-view visual analytics.