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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Supplementary data for study exploring creativity in human-human-llm collaborative software design

Authors: Jackson, Victoria; Liebel, Grischa; Prikladnicki, Rafael; van der Hoek, Andre;

Supplementary data for study exploring creativity in human-human-llm collaborative software design

Abstract

This dataset consists of files relevant to the research paper, "Exploring Creativity in Human-Human-LLM Collaborative Software Design" accepted by the International Conference on Evaluation and Assessment in Software Engineering (EASE) 2026. This lab-based study consisted of 18 pairs of software professionals completing a design task. They were free to use any design methodology and tools and were given optional access to a chat-based tool that leveraged an LLM. The accompanying paper provides details of the research method followed by the study and should be read in conjunction with this data. The research question explored in the study was: "How, and where, does creativity appear naturally when designing with an LLM?" The dataset is provided to share additional data relevant to the study findings and to aid other researchers interested in repeating or running a similar study.

Keywords

Generative AI, Software Engineering, software design

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average