Text mining methods can find large scale trends within research communities. For example, using stable Latent Dirichlet Allocation (a topic modeling algorithm) this study found 10 major topics in 35,391 SE papers from 34 leading venues over the last 25 years (divided, evenly, between conferences and journals). Out also shows how those have changed recent years. Also, we note that (in historical...