Reasoning-tuned LLMs align with human comprehension failure patterns under code obfuscation using the Block Model, unlike instruction-tuned variants.
InProceedings of the International Conference on Software Engineering (ICSE)
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Eye-tracking study finds systematic gaze transitions over syntactic code elements distinguish correct from incorrect program comprehension task performance.
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Systematic review of 97 studies on breaking changes in five software ecosystems, producing a four-dimensional taxonomy, reason/impact categories, 43 detection approaches, and 66 mitigation strategies.
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Using Biometrics to Understand AI-Assisted Coding Performance and its Perception
A multisite biometric study finds lower cognitive engagement under AI assistance via EEG and blink rate, with physiological-performance links present only in the non-AI condition.