225 citations
- University of StuttgartDE9 papers
- Auckland University of TechnologyNZ4 papers
- Clausthal University of TechnologyDE4 papers
- IT University of CopenhagenDK3 papers
- Leibniz University HannoverDE3 papers
- University of SurreyGB3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Chalmers University of TechnologySE2 papers
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- FOM University of Applied Sciences for Economics and ManagementDE2 papers
- Fraunhofer Institute for Experimental Software EngineeringDE2 papers
- Jiangnan UniversityCN2 papers
7 papers · 1 filter
Determining Context Factors for Hybrid Development Methods with Trained Models
Jil Klünder, Dzejlana Karajic, Paolo Tell +6
Selecting a suitable development method for a specific project context is one of the most challenging activities in process design. Every project is unique and, thus, many context…
Direct observation of structural heterogeneity and tautomerization of single hypericin molecules
Quan Liu, Frank Wackenhut, Liangxuan Wang +6
Tautomerization is a fast chemical reaction where structures of the reactants differ only in the position of a proton and a double bond. Tautomerization often occurs in natural sub…
AnyDB: An Architecture-less DBMS for Any Workload
Tiemo Bang, Norman May, Ilia Petrov +1
In this paper, we propose a radical new approach for scale-out distributed DBMSs. Instead of hard-baking an architectural model, such as a shared-nothing architecture, into the dis…
Collecting Service-Based Maintainability Metrics from RESTful API Descriptions: Static Analysis and Threshold Derivation
Justus Bogner, Stefan Wagner, Alfred Zimmermann
While many maintainability metrics have been explicitly designed for service-based systems, tool-supported approaches to automatically collect these metrics are lacking. Especially…
Determining Microservice Boundaries: A Case Study Using Static and Dynamic Software Analysis
Tiago Matias, Filipe F. Correia, Jonas Fritzsch +3
A number of approaches have been proposed to identify service boundaries when decomposing a monolith to microservices. However, only a few use systematic methods and have been demo…
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger +2
Purpose: Gliomas are the most common and aggressive type of brain tumors due to their infiltrative nature and rapid progression. The process of distinguishing tumor boundaries from…