Adaptive Hybrid Frameworks in Software Engineering: A Comparative Analysis of Scrumban and Integrated Agile-Waterfall Methodologies on Project Efficacy and Team Dynamics

Authors

  • Dr. Elias Thorne Department of Systems Engineering and Management Analysis, Institute of Advanced Technology Author

Keywords:

Hybrid Project Management, Scrumban, Agile Methodologies, Ontology Alignment

Abstract

Purpose: The software development industry has long grappled with the dichotomy between the predictability of traditional Plan-Driven approaches (Waterfall) and the flexibility of Agile methodologies. This paper investigates the emerging paradigm of Hybrid Project Management (HPM), specifically focusing on Scrumban and Ontology-Aligned frameworks. The study aims to evaluate how these integrated approaches address the limitations of singular methodologies regarding process efficiency, flow management, and teamwork quality.

Design/methodology/approach: Drawing upon a comprehensive review of literature ranging from foundational contingency theories to recent 2025 studies on Scrumban, this research synthesizes a theoretical framework for HPM. We analyze the efficacy of hybrid models through the lenses of Information Flow Interdependency and Social Capital theory, utilizing ontology alignment as a mechanism for integration.

Findings: The analysis suggests that Hybrid models, particularly Scrumban, offer statistically significant improvements in handling work-in-progress (WIP) limits and reducing bottlenecks compared to pure Scrum or Waterfall implementations. Furthermore, the integration of traditional governance with Agile execution via ontology alignment enhances Teamwork Quality (TWQ) by providing clear semantic structures that satisfy both executive reporting needs and developer flexibility.

Originality/value: This study contributes to the literature by providing a detailed mechanism for "how" hybridization occurs—not just as a random mixing of practices, but as a structured alignment of process ontologies. It validates the transition from "One Size Fits All" to context-specific, adaptive architectural frameworks in high-complexity software environments.

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References

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Published

2025-10-31

How to Cite

Adaptive Hybrid Frameworks in Software Engineering: A Comparative Analysis of Scrumban and Integrated Agile-Waterfall Methodologies on Project Efficacy and Team Dynamics. (2025). EuroLexis Research Index of International Multidisciplinary Journal for Research & Development, 12(10), 760–768. https://researchcitations.org/index.php/elriijmrd/article/view/5