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Investigating Severity Thresholds for Test Smells

Authors: Spadini, Davide; Schvarcbacher, Martin; Ana-Maria Oprescu; Bruntink, Magiel; Bacchelli, Alberto;

Investigating Severity Thresholds for Test Smells

Abstract

Paper "Investigating Severity Thresholds for Test Smells" published in the Proceedings of the 17th International Conference on Mining Software Repositories (MSR '20), October 5--6, 2020, Seoul, Republic of Korea.

Countries
Switzerland, Netherlands
Keywords

1712 Software, 10009 Department of Informatics, Empirical Software Engineering, Test Smells, Software Testing, 1706 Computer Science Applications, 005, 000 Computer science, knowledge & systems, 004

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download
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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43
Top 1%
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164
57
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