학술논문

Researcher Bias in Software Engineering Experiments: a Qualitative Investigation
Document Type
Conference
Source
2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) Software Engineering and Advanced Applications (SEAA), 2020 46th Euromicro Conference on. :276-283 Aug, 2020
Subject
Computing and Processing
Interviews
Data mining
Europe
Measurement
Data analysis
Software engineering
Psychology
Survey
interview
researcher bias
blinding
Language
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 RB 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.