Optimizing Product Development: A Scrumban Methodology for Rapid Delivery and Quality Assurance in Cloud-Based Platforms
Authors: Ridhima Arora, Manu Handa
DOI: https://doi.org/10.5281/zenodo.14183771
Short DOI: https://doi.org/g8rc4d
Country: USA
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Abstract: 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.
Keywords: the product Management, Scrumban, Cloud-Based Platforms, Agile Methodology, Software Development, Rapid Delivery, Quality Assurance, Time-to-Market, Requirement Management, Continuous Testing, Emergent Architecture, Workflow Visualization, Risk Management, Deployment Strategies, Goal-Question-Metrics (GQM), Performance Measurement, Software Quality Metrics, Integration Testing, Continuous Delivery, Technical Debt, Project Planning, Iterative Development.
Paper Id: 231569
Published On: 2019-03-05
Published In: Volume 7, Issue 2, March-April 2019
Cite This: Optimizing Product Development: A Scrumban Methodology for Rapid Delivery and Quality Assurance in Cloud-Based Platforms - Ridhima Arora, Manu Handa - IJIRMPS Volume 7, Issue 2, March-April 2019. DOI 10.5281/zenodo.14183771