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Softwareentwicklung
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Development of Research Software at DLR - Role and Status in Practice
Entwicklung der Forschungssoftware RCE im DLR
Entwicklung der Forschungssoftware RCE im DLR
Creating a Reliable Data Type Framework for the OSRA Using Modern C++
Disintegrating Rockets – Wie wir in der Raumfahrt lernen
Software Engineering Initiative of DLR
DLR Software Engineering Guidelines
Nachhaltige Software-Entwicklung in der deutschen Forschungslandschaft
Nachhaltige Software-Entwicklung in der deutschen Forschungslandschaft
Software Engineering Guidelines for Scientists - A Practical Handout for the Developing Researcher
Guidelines and Environment to Support Sustainable Software Development at DLR
Developing and Managing Research Software in Universities and National Labs
Wie wir aus Forschern RSEs machen
Software-Engineering-Empfehlungen des DLR
The Software Engineering Community at DLR: How we got where we are
RSE Trainings at DLR 2.0 - What we've learned from 1.0
Empfehlungen für bessere Forschungssoftware
Helping a friend out. Guidelines for better software
Neukonzeption des DLR Software-Katalogs
Analytics and Insights about Cultivating the Software Engineering Community at DLR
Using Knowledge Exchange Workshops to analyze the DLR Software Engineering Community
Practical HPC Software Engineering for Research
Analysis of Software-Engineering-Processes
One tool to rule them all? Integration or survival of the fittest
The Software Engineering Initiative of DLR - Overcome the obstacles and develop sustainable software
Software sustainability in the many-core era
PHIST: a Pipelined, Hybrid-parallel Iterative Solver Toolkit
Increasing Software Quality using the Provenance of Software Development Processes
DLR Secure Software Engineering - Position and Vision Paper
Die Hard 1.1024.0: backward compatibility of a search engine with persistant IDs
Data Science roadmap: An insight to achieve secure software engineering
Dare to be mair than just FAIR! - FAIR PLAY to research software, courtesy of RSEs
A Software Infrastructure for Solving Quantum Physics Problems on Extremely Parallel Systems
Challenges for Verifying and Validating Scientific Software in Computational Materials Science