Researcher Bias in Software Engineering Experiments: a Qualitative Investigation

August 28, 2020 ยท Declared Dead ยท ๐Ÿ› EUROMICRO Conference on Software Engineering and Advanced Applications

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Authors Simone Romano, Davide Fucci, Giuseppe Scanniello, Maria Teresa Baldassarre, Burak Turhan, Natalia Juristo arXiv ID 2008.12528 Category cs.SE: Software Engineering Citations 5 Venue EUROMICRO Conference on Software Engineering and Advanced Applications Last Checked 3 months ago
Abstract
Researcher Bias (RB) occurs when researchers influence the results of an empirical study based on their expectations.RB might be due to the use of Questionable Research Practices(QRPs). In research fields like medicine, blinding techniques have been applied to counteract RB. We conducted an explorative qualitative survey to investigate RB in Software Engineering (SE)experiments, with respect to (i) QRPs potentially leading to RB, (ii) causes behind RB, and (iii) possible actions to counteract including blinding techniques. Data collection was based on semi-structured interviews. We interviewed nine active experts in the empirical SE community. We then analyzed the transcripts of these interviews through thematic analysis. We found that some QRPs are acceptable in certain cases. Also, it appears that the presence of RB is perceived in SE and, to counteract RB, a number of solutions have been highlighted: some are intended for SE researchers and others for the boards of SE research outlets.
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