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CITCOM Software Release

Version 2 2024-04-05, 14:32
Version 1 2023-11-15, 12:55
software
posted on 2024-04-05, 14:32 authored by Michael FosterMichael Foster, Andrew Clark, Richard SomersRichard Somers, Christopher WildChristopher Wild, Farhad AllianFarhad Allian, Robert HieronsRobert Hierons, Nicholas LatimerNicholas Latimer, David WaggDavid Wagg, Neil WalkinshawNeil Walkinshaw

https://github.com/CITCOM-project/CausalTestingFramework

Causal testing is a causal inference-driven framework for functional black-box testing. This framework utilises graphical causal inference (CI) techniques for the specification and functional testing of software from a black-box perspective. In this framework, we use causal directed acyclic graphs (DAGs) to express the anticipated cause-effect relationships amongst the inputs and outputs of the system-under-test and the supporting mathematical framework to design statistical procedures capable of making causal inferences. Each causal test case focuses on the causal effect of an intervention made to the system-under test. That is, a prescribed change to the input configuration of the system-under-test that is expected to cause a change to some output(s).



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