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Predicting Program Comprehension with Foundation Models of Human Cognition
Yannick Lehmen, Marvin Wyrich, Anna-Maria Maurer +2
Software engineering depends on the ability of developers to understand code, yet predicting how they do so remains an open challenge despite decades of research. Existing approach…
A Mechanistic Lens on Semantic Conflicts: Using Activation Patching to Understand LLM Behavior
Youssef Abdelsalam, Norman Peitek, Anna-Maria Maurer +2
Large language models (LLMs) are increasingly used in software-engineering tasks processing executable code and non-executable semantic cues such as comments or identifiers. These…
Neural Signatures of Programming Expertise: Classifying Programmer Skill Levels Using EEG Data
Maurice Rekrut, Mahima Mahabaleshwar Acharya, Taisiia Ulianova +5
Accurately assessing a programmer's skill level is critical for hiring, team composition, and performance evaluation in the software industry. Conventional methods, such as coding…
Harnessing Hype to Teach Empirical Thinking: An Experience With AI Coding Assistants
Marvin Wyrich, Norman Peitek, Kallistos Weis +1
Software engineering students often struggle to appreciate empirical methods and hypothesis-driven inquiry, especially when taught in theoretical terms. This experience report expl…