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Background: Publication bias is the failure to publish the results of a studybased on the direction or strength of the study findings. The existence ofpublication bias is firmly established in areas like medical research. Recentresearch suggests the existence of publication bias in Software Engineering.Aims: Finding out whether experiments published in the International Workshopon Empirical Software Engineering and Measurement (ESEM) are affected bypublication bias. Method: We review experiments published in ESEM. We alsosurvey with experimental researchers to triangulate our findings. Results: ESEMexperiments do not define hypotheses and frequently perform multiple testing.One-tailed tests have a slightly higher rate of achieving statisticallysignificant results. We could not find other practices associated withpublication bias. Conclusions: Our results provide a more encouragingperspective of SE research than previous research: (1) ESEM publications do notseem to be strongly affected by biases and (2) we identify some practices thatcould be associated with p-hacking, but it is more likely that they are relatedto the conduction of exploratory research.

Publication Bias: A Detailed Analysis of Experiments Published in ESEM