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Threats of a Replication Crisis in Empirical Computer Science.

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Title: Threats of a Replication Crisis in Empirical Computer Science.
Authors: COCKBURN, ANDY1 andy.cockburn@canterbury.ac.nz, DRAGICEVIC, PIERRE2, BESANÇON, LONNI3, GUTWIN, CARL4
Source: Communications of the ACM. Aug2020, Vol. 63 Issue 8, p70-79. 10p. 1 Color Photograph, 1 Illustration, 1 Diagram, 1 Graph.
Subjects: Computer science research, Replication (Experimental design), Statistical hypothesis testing, Computer science periodicals, Null hypothesis
Abstract: The authors discuss the problem of replication in computer science research. They mention the typical format for periodical articles reporting on a hypothesis and its testing, the effects of publication biases particularly on articles that present a null hypothesis, and present suggestions for improving the process.
Database: Engineering Source
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An: 144741218
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PubType: Periodical
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  Data: Threats of a Replication Crisis in Empirical Computer Science.
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  Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Aug2020, Vol. 63 Issue 8, p70-79. 10p. 1 Color Photograph, 1 Illustration, 1 Diagram, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Computer+science+research%22">Computer science research</searchLink><br /><searchLink fieldCode="DE" term="%22Replication+%28Experimental+design%29%22">Replication (Experimental design)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+hypothesis+testing%22">Statistical hypothesis testing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science+periodicals%22">Computer science periodicals</searchLink><br /><searchLink fieldCode="DE" term="%22Null+hypothesis%22">Null hypothesis</searchLink>
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  Data: The authors discuss the problem of replication in computer science research. They mention the typical format for periodical articles reporting on a hypothesis and its testing, the effects of publication biases particularly on articles that present a null hypothesis, and present suggestions for improving the process.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=144741218
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      – SubjectFull: Statistical hypothesis testing
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