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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cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Qualitative study of 19 CS students using multi-view visualizations reveals selective engagement driven by agency, fit, and legitimacy rather than cognitive load reduction alone.
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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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Code as Anchor, Memory and Metaphor as Support: Learner Experiences with Multi-View Visualizations
Qualitative study of 19 CS students using multi-view visualizations reveals selective engagement driven by agency, fit, and legitimacy rather than cognitive load reduction alone.