Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments

Table 1

The PICO model applied to formulate the research question.

PICO element	Description
Population	Engineering environments and methods
Intervention	Scientific programming/computing techniques, algorithms, methods, architectures, and infrastructures to deal with data-intensive engineering
Comparison	Performance measures, benchmarks, and datasets
Outcomes	New and collaborative techniques, algorithms, architectures, infrastructures, domains, and case studies