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Research.fi
Article . 2020 . Peer-reviewed
Data sources: Research.fi
https://doi.org/10.1109/seaa.2...
Article . 2017 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object
Data sources: DBLP
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Perceptions of Creativity in Software Engineering Research and Practice

Authors: Rahul Mohanani; Prabhat Ram; Ahmed Lasisi; Paul Ralph; Burak Turhan;

Perceptions of Creativity in Software Engineering Research and Practice

Abstract

Software engineering, especially design and requirements engineering, is intensely creative. However, practitioners and researchers appear to perceive creativity differently, hindering knowledge transfer. To explore and understand these perceptual differences, this paper combines a systematic mapping study of SE research literature with an interview study of practitioners. The subsequent analysis of 84 primary studies and 17 semi-structured interviews reveal some agreement (e.g. creativity is a process that produces novel and useful ideas). However, it also reveals important differences in the way creativity is conceptualized, measured and improved. These differences undermine evidence-based techniques to enhance and measure creativity in SE research and practice.

Countries
United Kingdom, Finland
Keywords

Software engineering, interviews, Creativity, systematic mapping, Interviews, Systematic mapping, creativity, software engineering

  • BIP!
    Impact byBIP!
    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).
    15
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
15
Top 10%
Top 10%
Average
Green