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CITCOM Software Release

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

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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