3 papers
cs.SE2025
Using Causal Inference to Test Systems with Hidden and Interacting Variables: An Evaluative Case Study
Michael Foster, Robert M. Hierons, Donghwan Shin +2
Software systems with large parameter spaces, nondeterminism and high computational cost are challenging to test. Recently, software testing techniques based on causal inference ha…
cs.SE2024
Bounding Random Test Set Size with Computational Learning Theory
Neil Walkinshaw, Michael Foster, Jose Miguel Rojas +1
Random testing approaches work by generating inputs at random, or by selecting inputs randomly from some pre-defined operational profile. One long-standing question that arises in…
cs.FL2024
Learning EFSM Models with Registers in Guards
Germán Vega, Roland Groz, Catherine Oriat +3
This paper presents an active inference method for Extended Finite State Machines, where inputs and outputs are parametrized, and transitions can be conditioned by guards involving…