  IoT systems complexity and susceptibility to failures pose significant
challenges in ensuring their reliable operation Failures can be internally
generated or caused by external factors impacting both the systems correctness
and its surrounding environment To investigate these complexities various
modeling approaches have been proposed to raise the level of abstraction
facilitating automation and analysis FailureLogic Analysis FLA is a technique
that helps predict potential failure scenarios by defining how a components
failure logic behaves and spreads throughout the system However manually
specifying FLA rules can be arduous and errorprone leading to incomplete or
inaccurate specifications In this paper we propose adopting testing
methodologies to improve the completeness and correctness of these rules How
failures may propagate within an IoT system can be observed by systematically
injecting failures while running test cases to collect evidence useful to add
complete and refine FLA rules
