Guess What: Test Case Generation for Javascript with Unsupervised Probabilistic Type Inference

This paper proposes an unsupervised probabilistic type inference approach to infer data types within the test case generation process and shows that the type inference approach achieves a statistically significant increase in 56 % of the test cases with up to 71 % of branch coverage compared to the baseline.