Applications of statistical causal inference in software engineering
This is an incremental review paper for researchers in software engineering.
This paper reviews 32 papers from 2010 to 2022 to assess the application of statistical causal inference methods in software engineering, finding that such applications are recent and the research community is fragmented.
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.