  This paper reviews existing work in software engineering that applies
statistical causal inference methods. These methods aim at estimating causal
effects from observational data. The review covers 32 papers published between
2010 and 2022. Our results show that the application of statistical causal
inference methods is relatively recent and that the corresponding research
community remains relatively fragmented.
