Toward Computational Experiment Management via Multi-language Applications

Within the computer sciences, different subdisciplines have different requirements for software quality and assurance. Additionally, there are different expectations for the ease of development, programming time investment, and time to create and deploy new features. Embedded/real-time computing, web programming, and scientific computing have starkly different software development practices and expectations. There exist applications critical to society with respect to assurance and timeliness of development such as climate modeling, energy production and distribution, and materials design. It is desirable to move scientific computing towards the high quality and reliability found in digital control systems while increasing productivity with the high-level tools found in less critical software development areas, such as the web. These methodologies must be pervasive across scaling efforts, debugging/logging tools, and data management cycles.