Optimizing Product Development: A Scrumban Methodology for Rapid Delivery and Quality Assurance in Cloud-Based Platforms

This paper explores the development of a cloud-based Human Capital as a Service (HCaaS) platform for a software company, focusing on identifying a suitable methodology to ensure rapid delivery while maintaining software quality. The consulting team applied Multi-Attribute Utility Theory (MAUT) analysis, evaluating variables such as changing requirements, team distribution, project complexity, methodology adoption experience, and time to market, leading to the recommendation of the Scrumban methodology. The paper outlines processes and practices aligned with Scrumban, including requirement management, software architecture, testing, and deployment strategies, all tailored to the project’s needs. Performance measurement techniques like Software Quality Metrics, Continuous Testing, and Burn-Up Charts are also introduced using the Goal-Question-Metrics (GQM) framework to ensure high product quality and timely delivery. In conclusion, adopting Scrumban, along with the proposed practices and performance metrics, will enable the company to effectively achieve its business objectives, launching the platform efficiently and meeting quality and market timelines.