A self assessment tool for improving software practices
Software engineering is a systematic approach to the design, development, and maintenance of a software system. Teams seldom have the time to stop development and focus solely on improving productivity or sustainability. However, teams can incorporate improvements on the way to developing new science capabilities.
The tools on this site will help you:
Assess your current practices
Create progress tracking cards
Integrate tracking cards with your workflow
The self-assessment introduces software engineering practices that increase in maturity. Check the practices that your project already uses to rate your project.
Take the survey by clicking the button below or sign in to customize your survey and save the results directly to your project repository!
If you've spent much time in open source projects, you have probably seen the term "copyleft" used. While the term is quite commonly used, many people don't understand it. Learn more about copyleft in this article.
The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.
swMATH is a freely accessible, innovative information service for mathematical software. swMATH not only provides access to an extensive database of information on mathematical software, but also includes a systematic linking of software packages with relevant mathematical publications.
J. Howison, and J. Herbsleb. Proceedings of the ACM 2011 conference on Computer supported cooperative work - CSCW \textquotesingle11, ACM Press, (2011)
Please include the acknowledgement in publications for those who are funded by our Cluster of Excellence:
Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2075 - 390740016
