Tobias Kaufmann

Tobias Kaufmann, Thorsten Weyer

Process roles are used to structure complex engineering processes in single sys-tems development for many years. Typically, each role has specific responsi-bilities from which certain information demands originate. In the engineering of variable software, role-specific information demands affect variability in-formation. To control the access to the variability information, we suggest us-ing the concepts of an explicit access control model. We integrate an access control model and a variability modeling language on a conceptual level. Ad-ditionally, we extend the variability modeling language by formally defined operations. Based on this extension, we propose a formal integration of an ac-cess control model and the variability modeling language. Our solution allows to explicitly define access control to variability information on a formal basis.

Anjuli Kannan, Karol Kurach, Sujith Ravi et al.

In this paper we propose and investigate a novel end-to-end method for automatically generating short email responses, called Smart Reply. It generates semantically diverse suggestions that can be used as complete email responses with just one tap on mobile. The system is currently used in Inbox by Gmail and is responsible for assisting with 10% of all mobile responses. It is designed to work at very high throughput and process hundreds of millions of messages daily. The system exploits state-of-the-art, large-scale deep learning. We describe the architecture of the system as well as the challenges that we faced while building it, like response diversity and scalability. We also introduce a new method for semantic clustering of user-generated content that requires only a modest amount of explicitly labeled data.