[HTML][HTML] Brain and autonomic nervous system activity measurement in software engineering: A systematic literature review

B Weber, T Fischer, R Riedl - Journal of Systems and Software, 2021 - Elsevier
In the past decade, brain and autonomic nervous system activity measurement received
increasing attention in the study of software engineering (SE). This paper presents a …

40 years of designing code comprehension experiments: A systematic mapping study

M Wyrich, J Bogner, S Wagner - ACM Computing Surveys, 2023 - dl.acm.org
The relevance of code comprehension in a developer's daily work was recognized more
than 40 years ago. Consequently, many experiments were conducted to find out how …

Correlates of programmer efficacy and their link to experience: A combined EEG and eye-tracking study

N Peitek, A Bergum, M Rekrut, J Mucke… - Proceedings of the 30th …, 2022 - dl.acm.org
Background: Despite similar education and background, programmers can exhibit vast
differences in efficacy. While research has identified some potential factors, such as …

Neurophysiological measurements in the research field of interruption science: Insights into applied methods for different interruption types based on an umbrella …

FJ Stangl, R Riedl - NeuroIS Retreat, 2023 - Springer
Interruptions of various types, such as breaks, distractions, interventions, or intrusions, are
ubiquitous in our daily lives. Interruption science is an interdisciplinary research field …

A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment

K Kyriaki, D Koukopoulos, CA Fidas - IEEE Access, 2024 - ieeexplore.ieee.org
Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive
Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly …

[HTML][HTML] On the relationship between source-code metrics and cognitive load: A systematic tertiary review

A Abbad-Andaloussi - Journal of Systems and Software, 2023 - Elsevier
The difficulty of software development tasks depends on several factors including the
characteristics of the underlying source-code. These characteristics can be captured and …

A systematic literature review on machine learning algorithms for human status detection

SK Sardar, N Kumar, SC Lee - IEEE Access, 2022 - ieeexplore.ieee.org
Human status detection (HSD) is important to understand the status of users when
interacting with various systems under different conditions. Recently, although various …

On the accuracy of code complexity metrics: A neuroscience-based guideline for improvement

G Hao, H Hijazi, J Durães, J Medeiros… - Frontiers in …, 2023 - frontiersin.org
Complexity is the key element of software quality. This article investigates the problem of
measuring code complexity and discusses the results of a controlled experiment to compare …

Optimal frequency bands for pupillography for maximal correlation with HRV

J Medeiros, A Bernardes, R Couceiro, P Oliveira… - Scientific Reports, 2025 - nature.com
Assessing cognitive load using pupillography frequency features presents a persistent
challenge due to the lack of consensus on optimal frequency limits. This study aims to …

EEG as a potential ground truth for the assessment of cognitive state in software development activities: A multimodal imaging study

J Medeiros, M Simões, J Castelhano, R Abreu… - Plos one, 2024 - journals.plos.org
Cognitive human error and recent cognitive taxonomy on human error causes of software
defects support the intuitive idea that, for instance, mental overload, attention slips, and …