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H2020 Q-RAPIDS: Quality-Aware Rapid Software Development

posted Nov 6, 2017, 9:11 AM by Andrey Sadovykh   [ updated Nov 6, 2017, 9:12 AM ]
Description:
Software quality is an essential competitive factor for the success of IT companies nowadays. Recent
technological breakthroughs such as cloud technologies, the emergence of IoT and technologies such as 5G, pose demanding quality challenges in software development.
Problem. Optimal software quality asks for the appropriate integration of quality requirements (QRs) in the software life-cycle.However, software development methodologies still provide limited support to QR management which is utterly important in rapid software development processes (RSDP): faster and more frequent release cycles should not compromise software quality.
Concept. Q-Rapids defines an empirical-based, data-driven quality-aware rapid software development methodology. QRs are incrementally elicited and refined based on data gathered both during development and at runtime. This data is elaborated into quality-related key indicators presented to decision makers through a strategic dashboard with advanced capabilities. Selected QRs are integrated with functional requirements for their unified treatment in the RSDP.
Outcome. A validated Q-Rapids framework, including cutting-edge tools and methods to smartly manage QRs along with functional requirements in a similar rapid and holistic manner.
Impact. Increase of software quality levels through continuous data gathering and analysis. Significant productivity increase to the software life-cycle by means of smooth and tool-supported integration of QRs in the RSDP. Shorter time to market due to reduction of quality-related maintenance efforts and more informed decision making in the planning of release cycles.

Softeam's role: Case study analysis, Implementation of Q-RAPIDS methods in Modelio tool chain.
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