API misuses in data-centric libraries share key characteristics with deep learning misuses and occur regardless of whether documentation directives are present.
Briand, and Thomas Bruckmann
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An empirical evaluation found that HECATE generated failure-revealing test cases for 83% of 36 experiments on e-bike Simulink controllers, averaging 1 hour 17 minutes per run, with developer confirmation of the failures.
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An Empirical Study of API Misuses of Data-Centric Libraries
API misuses in data-centric libraries share key characteristics with deep learning misuses and occur regardless of whether documentation directives are present.
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Test Case Generation for Simulink Models: An Experience from the E-Bike Domain
An empirical evaluation found that HECATE generated failure-revealing test cases for 83% of 36 experiments on e-bike Simulink controllers, averaging 1 hour 17 minutes per run, with developer confirmation of the failures.