The goal of the project Q-Rapids (Quality-aware rapid software development) was to define an evidence-based, data-controlled, quality-aware methodology for rapid software development and a Big Data platform to support decision makers based on quality indicators and requirements. The incremental elicitation, refinement, and improvement of quality requirements was based on the enormous amount of data generated at runtime and at development time.
The research conducted at Fraunhofer IESE was about software analytics for different scenarios: quality assessment, quality requirements, prediction, and “what-if” analyses. Furthermore, evaluations of the methodology and the platform in industrial settings took place.