Text+ is the German distributed research data infrastructure for literary studies, linguistics, and spoken and written language. Its resources consist of contemporary and historical literary and media texts, deeply annotated material, transcripts of spoken and sign language, and original recordings. Text+ provides access to its resources according to the FAIR guidelines: Findable due to standard-conformant metadata, Accessible with single sign-on authentication, Interoperable via open data formats, and Reproducible through web services and extensive documentation. The 30+ partners of Text+ are archives, libraries, universities, and other research institutions. The partners are autonomous, and they differ in the amount of data and processing capabilities they provide. In this paper, we describe the hub architecture of Text+, which gives users a central and FAIR point of access to research data that continues to be distributed across the Text+ partner institutions. The architecture serves as a blueprint to evolving research infrastructures that aim at maintaining (and empowering) their research data contributors.

In a road network with multicriteria edge costs we consider the problem of computing a minimum number of driving preferences such that a given set of paths/trajectories is optimal under at least one of these preferences. While the exact formulation and solution of this problem appears theoretically hard, we show that in practice one can solve the problem exactly even for non-homeopathic instance sizes of several thousand trajectories in a road network of several million nodes. We also present a parameterized guaranteed-polynomial-time scheme with very good practical performance.

We consider the problem of computing a set of alternative routes in a multicriteria setting where several network metrics are available. Previous approaches for alternative route computation were based on relaxing a single metric to obtain alternative routes whereas our approach for the multicriteria setting produces routes that are always optimal for a convex combination of the metrics. For the concrete example of route planning for bicycles with three natural metrics (distance, positive height difference, unsuitability for cycling) we show. how to efficiently generate very natural alternative bicycle routes.

We present CYCLOPS, a route planning system for cyclists that allows for intuitive specification of preferences for a route query, and also suggests several alternative route options. It combines three metrics of the underlying road network relevant to cyclists (distance, positive height gain, unsuitability for cycling), to cater for different cycling habits. The CYCLOPS back end is based on state-of-the-art multi-criteria route planning techniques, the front end is realized using the HTML5 Canvas API to provide an intuitive interface for combining metrics in personalized route planning queries and a visualization of the routes found.

Today's testing technologies and tools are all essentially based on the assumption that testers have full, unlimited access to systems under test along with the actual and expected results of test executions. This reflects the fact that, historically, software systems were usually developed by a single organization using components completely under its own control, and were tested in isolation under carefully controlled, "offline" conditions. However, with the rise of service-oriented architectures and the drive for more software reuse, these conditions are changing and the assumption that testers must be given full, trusted access to systems under test is no longer universally valid. In this paper we make the case for a new form of testing -- penurious testing -- in which testers do not have full, trusted access to the entities they test. By means of small examples we motivate its use and describe a language and framework that supports this new form of testing.

As software services become the dominant platform for enterprise computing and B2B/B2C applications, testing their correctness and dependability assumes ever more importance. However, unlike the languages used to define and realize them, the languages used to test service-based systems have changed little over recent years. Today, tests for services and service-oriented architectures are still typically written using approaches such as xUnit or Testing and Test Control Notation (TTCN-3) developed for traditional software. While programmatic approaches allow the full power of object-oriented programming to be used to define tests, they are only intelligible to IT experts. Model-based test representation techniques such as the Unified Modeling Language (UML) testing profile and the TTCN-3 visualization features are understandable by more stakeholders but provide only partial descriptions of tests and do not scale well beyond simple algorithms. In this paper we present a new approach to software service testing which combines the expressive power of tabular tests specification techniques like Framework for Integrated Test (FIT) with programmatic techniques like xUnit and TTCN-3. The new approach also integrates test definition with test result specification and evaluation. This allows non-IT experts to define and run tests and integrates testing more tightly into the service-oriented development process.