Abstract Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining technique to extract human-readable semantic “topics” (i.e., word clusters) from corpus of textual documents. In software engineering, topic has been used analyze data in empirical studies (e.g., find out what developers talk about online), but also build new techniques support engineering tasks sour...