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To Mock or Not to Mock? An Empirical Study on Mocking Practices

Authors: Spadini, Davide; Aniche, Maurício; Bruntink, Magiel; Bacchelli, Alberto;

To Mock or Not to Mock? An Empirical Study on Mocking Practices

Abstract

This paper is a pre-print of: Davide Spadini, Maurício Aniche, Magiel Bruntink, Alberto Bacchelli – To Mock or Not To Mock? An Empirical Study on Mocking Practices In Proceedings of the 14th International Conference on Mining Software Repositories (MSR’17), May 20- 21, 2017 — Buenos Aires, Argentina doi: http://dx.doi.org/10.1109/MSR.2017.61

Countries
Netherlands, Switzerland
Keywords

10009 Department of Informatics, Testing, 000 Computer science, knowledge & systems, 1712 Software, Tools, Databases, Interviews, 1706 Computer Science Applications, Software systems, Java, 000 Computer science, knowledge & systems

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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
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
49
Top 10%
Top 10%
Top 10%
28
52
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