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IEEE Transactions on Software Engineering
Article . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
ZENODO
Article . 2018
Data sources: ZENODO
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Use and Misuse of Continuous Integration Features: An Empirical Study of Projects That (Mis)Use Travis CI

Authors: Keheliya Gallaba; Shane McIntosh;

Use and Misuse of Continuous Integration Features: An Empirical Study of Projects That (Mis)Use Travis CI

Abstract

Continuous Integration (CI) is a popular practice where software systems are automatically compiled and tested as changes appear in the version control system of a project. Like other software artifacts, CI specifications require maintenance effort. Although there are several service providers like Travis CI offering various CI features, it is unclear which features are being (mis)used. In this paper, we present a study of feature use and misuse in 9,312 open source systems that use Travis CI . Analysis of the features that are adopted by projects reveals that explicit deployment code is rare—48.16 percent of the studied Travis CI specification code is instead associated with configuring job processing nodes. To analyze feature misuse, we propose Hansel —an anti-pattern detection tool for Travis CI specifications. We define four anti-patterns and Hansel detects anti-patterns in the Travis CI specifications of 894 projects in the corpus (9.60 percent), and achieves a recall of 82.76 percent in a sample of 100 projects. Furthermore, we propose Gretel —an anti-pattern removal tool for Travis CI specifications, which can remove 69.60 percent of the most frequently occurring anti-pattern automatically. Using Gretel , we have produced 36 accepted pull requests that remove Travis CI anti-patterns automatically.

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visibility
download
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
54
Top 1%
Top 10%
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4
20
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