Translating Platform-Independent Code into Natural Language Texts

Paper in proceeding, 2013

Understanding software artifacts is not only time-consuming, without the proper training and experience it can be impossible. From a model-driven perspective there are two benefits from translating platform-independent models into natural language texts: First, the non-functional properties of the solution have already been omitted meaning that the translations focus on describing the functional behaviour of the system. Second, the platform-independent models are reusable across platforms and so are the translations generated from them. As a proof-of-concept a platform-independent Action language is translated into natural language texts through the framework of model transformations.