Q-Rapids and Quality Assurance in Rapid Software Development Processes
VerifiedAdded on  2019/09/24
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Report
AI Summary
This report delves into the realm of Rapid Software Development (RSD), emphasizing its role in adapting to dynamic environments through rapid development cycles and user feedback. It contrasts RSD with traditional waterfall methods, highlighting the importance of functioning software over rigid planning. The report addresses the challenges of maintaining quality in RSD, particularly the industry's lack of data-driven quality requirement approaches. It introduces Q-Rapids, a data-driven and quality-aware strategy designed to manage both quality and the RSD process effectively. The Q-Rapids framework integrates data collection, analysis, and continuous monitoring to facilitate informed decision-making, focusing on aspects of project success and balancing challenges like product quality and time management. The report emphasizes the need for a systematic approach to collect, analyze, and integrate data into the development process. The report concludes by summarizing the contribution of the study in the field of software development and considers the future research prospects in the subject matter.
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