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We introduce Causal Program Dependence Analysis (CPDA), a dynamic dependence analysis that applies causal inference to model the strength of program dependence relations in a continuous space.
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Judea Pearl. 2019 · 2019
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Scalable and Approximate Program Dependence Analysis. In Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings (ICSE ’20) . Association for Computing Machinery, New York, NY, USA, 162–165
Seongmin Lee. 2020 · 2020
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Learning Optimal Cyclic Causal Graphs from Interventional Data. In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM 2020) . Journal of Machine Learning Research
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