28 citations · 29 across the 9 of their papers we have counts for
9 papers
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…
From Restructuring to Stabilization: A Large-Scale Experiment on Iterative Code Readability Refactoring with Large Language Models
Norman Peitek, Julia Hess, Sven Apel
Large language models (LLMs) are increasingly used for automated code refactoring tasks. Although these models can quickly refactor code, the quality may exhibit inconsistencies an…
How do Humans and LLMs Process Confusing Code?
Youssef Abdelsalam, Norman Peitek, Anna-Maria Maurer +2
Already today, humans and programming assistants based on large language models (LLMs) collaborate in everyday programming tasks. Clearly, a misalignment between how LLMs and progr…
Fixation-related potentials reveal that confusing program code elicits a late frontal positivity
Annabelle Bergum, Anna-Maria Maurer, Norman Peitek +5
As software pervades more and more areas of our professional and personal lives, there is an ever-increasing need to maintain software and for programmers to efficiently write and…
Tapping into the Natural Language System with Artificial Languages when Learning Programming
Elisa Madeleine Hartmann, Annabelle Bergum, Dominik Gorgosch +3
Background: In times when the ability to program is becoming increasingly important, it is still difficult to teach students to become successful programmers. One remarkable aspect…
Correlates of Programmer Efficacy and Their Link to Experience: A Combined EEG and Eye-Tracking Study
Norman Peitek, Annabelle Bergum, Maurice Rekrut +5
Background: Despite similar education and background, programmers can exhibit vast differences in efficacy. While research has identified some potential factors, such as programmin…