
Research software plays a crucial role in advancing various disciplines and driving scientific progress. Typically developed by scientists with a focus on short-term objectives, due to the pressure to publish results as fast as possible. Therefore, such software often faces challenges in regard to software quality and suffers from reproducibility issues caused by the rushed implementation and the developers’ limited training in software engineering. This hampers its widespread and enduring usage, thereby impeding the quality and pace of scientific research. The SURESOFT project aims to tackle these issues by establishing a cohesive methodology and infrastructure applicable to most research software projects. While leveraging tools and principles from the discipline of software engineering like version control, continuous integration, containerization, software design principles and patterns as well as testing and Test Driven Development, SURESOFT seeks to enable researchers to enhance the quality of research software to ensure its long-term sustainability and availability.
Research Software Engineering, RSE
Research Software Engineering, RSE
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
