A systematic review of statistical power in software engineering experiments

Statistical power is an inherent part of empirical studies that employ significance testing and is essential for the planning of studies, for the interpretation of study results, and for the validity of study conclusions. This paper reports a quantitative assessment of the statistical power of empirical software engineering research based on the 103 papers on controlled experiments (of a total of 5,453 papers) published in nine major software engineering journals and three conference proceedings in the decade 1993

• Type: Journal
• Year: 2006
• Where: INFSOF
• Authors: Tore Dybå, Vigdis By Kampenes, Dag I. K. Sjøberg
• Keywords: Empirical Studies, INFSOF 2006, Software Engineering Journals, Statistical Power