Preliminary analysis of the effects of confirmation bias on software defect density

Calikli, Gul and Bener, Ayse (2010). Preliminary analysis of the effects of confirmation bias on software defect density. In: 4th International Symposium on Empirical Software Engineering and Measurement (ESEM 2010), 16-17 Sep 2010, Bolzano-Bozen, Italy.

DOI: https://doi.org/10.1145/1852786.1852870

Abstract

In cognitive psychology, confirmation bias is defined as the tendency of people to verify hypotheses rather than refuting them. During unit testing software developers should aim to fail their code. However, due to confirmation bias, most defects might be overlooked leading to an increase in software defect density. In this research, we empirically analyze the effect of confirmation bias of software developers on software defect density.

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