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Acta Cybernetica
Article . 2021 . Peer-reviewed
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Acta Cybernetica
Article
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DBLP
Article . 2021
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Visualisation of Jenkins Pipelines

Authors: Ádám Révész; Norbert Pataki;

Visualisation of Jenkins Pipelines

Abstract

Continuous Integration (CI) is an essential approach in modern software engineering. CI tools help merging the recent commits from the developers, thus the bugs can be realized in an early phase of development and integration hell can be avoided. Jenkins is the most well-known and most widely-used CI tool. Pipelines become first-class citizen in Jenkins 2. Pipelines consist of stages, such as compiling, building Docker image, integration testing, etc. However, comprehensive Jenkins pipelines are hard to see through and understand. In this paper, we argue for a modern visualisation of Jenkins pipelines. We present our solution for making Jenkins pipelines comprehensible on the dashboard.

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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).
    4
    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).
    Average
    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!
4
Top 10%
Average
Average
Green
gold