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Ioulia Kovelman

dblp:99/5692 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0003-4287-6986ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering
developer studies
0.512021
Relating Reading, Visualization, and Coding for New Programmers: A Neuroimaging Study · ICSE 2021
Computing education › programming education
novice programming
0.112021
Relating Reading, Visualization, and Coding for New Programmers: A Neuroimaging Study · ICSE 2021

Methods — techniques the papers use, named apart from their topics

functional near-infrared spectroscopy · 1.0
YearPublicationVenuePosition
2025 Effects of jointly recalling emotions in dyads on emotional valence and arousal: A preregistered study using Light Detection and Ranging (LiDAR)
Marlene Försterling, George Rabadi, Lauren Terry, Mohammed Islam, Ioulia Kovelman, Felix Warneken, Robert Hepach
CogSci5
2021 Relating Reading, Visualization, and Coding for New Programmers: A Neuroimaging Study
abstract
Understanding how novices reason about coding at a neurological level has implications for training the next generation of software engineers. In recent years, medical imaging has been increasingly employed to investigate patterns of neural activity associated with coding activity. However, such studies have focused on advanced undergraduates and professionals. In a human study of 31 participants, we use functional near-infrared spectroscopy to measure the neural activity associated with introductory programming. In a controlled, contrast-based experiment, we relate brain activity when coding to that of reading natural language or mentally rotating objects (a spatial visualization task). Our primary result is that all three tasks-coding, prose reading, and mental rotation-are mentally distinct for novices. However, while those tasks are neurally distinct, we find more significant differences between prose and coding than between mental rotation and coding. Intriguingly, we generally find more activation in areas of the brain associated with spatial ability and task difficulty for novice coding compared to that reported in studies with more expert developers. Finally, in an exploratory analysis, we also find a neural activation pattern predictive of programming performance 11 weeks later. While preliminary, these findings both expand on previous results (e.g., relating expertise to a similarity between coding and prose reading) and also provide a new understanding of the cognitive processes underlying novice programming.
Madeline Endres, Zachary Karas, Xiao-Su Hu, Ioulia Kovelman, Westley Weimer
ICSE4