Latent Dirichlet Allocation (LDA) is a topic modeling technique for textual data [5] that is widely applied in software engineering <cite>[1</cite>-4, 6, 10, 11, 14-16, 19, 24, 25] for different tasks such as requirements engineering [15] , software architecture [10] , source code analysis [9] , defect reports [16] , testing [14] and to bibliometric analysis of software engineering literature [11, 22] .