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Annals of computer science and information systems
Article . 2015 . Peer-reviewed
Data sources: Crossref
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Conference object . 2023
Data sources: DBLP
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Sharing Developers' Mental Models through Source Code Annotations

Authors: Matús Sulír; Milan Nosál;

Sharing Developers' Mental Models through Source Code Annotations

Abstract

Context: Developers possess mental models containing information far beyond what is explicitly captured in the source code. Objectives: We investigate the possibility to use source code annotations to capture parts of the developers' mental models and later reuse them by other programmers during program comprehension and maintenance. Method: We performed two studies and a controlled experiment. Results: Developers' mental models overlap and thus can be shared. Possible use cases of shared annotations are hypotheses confirmation, feature location, obtaining new knowledge, finding relationships and maintenance notes. In the experiment, the presence of annotations reduced program comprehension and maintenance time by 34%. Conclusion: Annotations are a viable way to share programmers' thoughts.

Related Organizations
Keywords

Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64

  • 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).
    7
    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.
    Average
    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.
    Top 10%
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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!
7
Average
Top 10%
Top 10%
Published in a Diamond OA journal