Latent Dirichlet Allocation is a powerful tool for working with collections of structured, unstructured, and semi-structured text documents, of which there are plenty in software repositories. Our literature review has documented the abundance of LDA applications in software analysis, from document clustering for issue/bug deduplication, to linking for traceability between code, documentation, requirements and communications, to summarizing for association with software-lifecycle activities.