Applications of statistical causal inference in software engineering

@article{Siebert2022ApplicationsOS,
  title={Applications of statistical causal inference in software engineering},
  author={Julien Siebert},
  journal={ArXiv},
  year={2022},
  volume={abs/2211.11482}
}

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions

Novel techniques that support analyzing purely observational data for causal relations are discussed, which can help answer the salient research questions more precisely and more robustly than with just purely statistical techniques.

Dataflow graphs as complete causal graphs

This paper considers an alternative approach to software design, flow-based programming (FBP), and draws the attention of the community to the connection between dataflow graphs produced by FBP and structural causal models.

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