Adaptive Hybrid Architectures: Integrating Scrumban Methodologies with AI-Driven Resource Allocation and Security Protocols for High-Assurance IoT Systems
Keywords:
Scrumban, Hybrid Agile, IoT Security, Resource Allocation, Artificial IntelligenceAbstract
As software systems increasingly converge with physical infrastructure—manifesting in Smart Grids, Internet of Health Things (IoHT), and autonomous monitoring systems—traditional Software Development Life Cycle (SDLC) models face an existential crisis. Pure Agile methodologies often lack the rigor required for safety-critical hardware integration, while traditional Waterfall models fail to keep pace with the rapid evolution of Artificial Intelligence and cybersecurity threats. This paper proposes and analyzes an "Adaptive Hybrid Architecture," specifically integrating Scrumban methodologies with AI-driven resource allocation and strict security governance protocols. By synthesizing recent data on digital payment security, smart grid monitoring, and crowd density estimation, we evaluate the efficacy of hybrid frameworks in complex environments. Our findings suggest that while pure Agile environments excel in software-only domains, high-assurance IoT systems require a "Structured Flexibility" approach. This approach utilizes Scrumban for workflow optimization but enforces "Guardrail Gates" derived from formal methods for security and resource management. The study further incorporates insights into smart computing resource allocation, demonstrating that algorithmic team management can reduce delivery latency by 18% while improving compliance with security standards in financial and healthcare sectors.
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Sai Nikhil Donthi (2025). A Scrumban Integrated Approach to Improve Software Development Process and Product Delivery. The American Journal of Interdisciplinary Innovations and Research, 7(09), 70–82. https://doi.org/10.37547/tajiir/Volume07Issue09-07
Moe, N. B., Šmite, D., & Ågerfalk, P. J. (2022). Understanding the dynamics of Agile and hybrid teams in complex projects. Information and Software Technology, 145, 106837.
PMI. (2021). Pulse of the Profession 2021: Beyond Agility. Project Management Institute.
Vinod H. Patil, Sheela Hundekari, Anurag Shrivastava, Design and Implementation of an IoT-Based Smart Grid Monitoring System for Real-Time Energy Management, Vol. 11 No. 1 (2025): IJCESEN. https://doi.org/10.22399/ijcesen.854
Sheela Hundekari, Dr. Jyoti Upadhyay, Dr. Anurag Shrivastava, Guntaj J, Saloni Bansal5, Alok Jain, Cybersecurity Threats in Digital Payment Systems (DPS): A Data Science Perspective, Journal of Information Systems Engineering and Management, 2025,10(13s)e-ISSN:2468-4376. https://doi.org/10.52783/jisem.v10i13s.2104
Sheela Hhundekari, Advances in Crowd Counting and Density Estimation Using Convolutional Neural Networks, International Journal of Intelligent Systems and Applications in Engineering, Volume 12, Issue no. 6s (2024) Pages 707–719
Upreti, P. Vats, G. Borkhade, R. D. Raut, S. Hundekari and J. Parashar, "An IoHT System Utilizing Smart Contracts for Machine Learning -Based Authentication," 2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), Windhoek, Namibia, 2023, pp. 1-6, doi: 10.1109/ETNCC59188.2023.10284960.
C. Poonia, K. Upreti, S. Hundekari, P. Dadhich, K. Malik and A. Kapoor, "An Improved Image Up-Scaling Technique using Optimize Filter and Iterative Gradient Method," 2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, India, 2023, pp. 1-8, doi: 10.1109/ICMNWC60182.2023.10435962.
Araddhana Arvind Deshmukh; Shailesh Pramod Bendale; Sheela Hundekari; Abhijit Chitre; Kirti Wanjale; Amol Dhumane; Garima Chopra; Shalli Rani, "Enhancing Scalability and Performance in Networked Applications Through Smart Computing Resource Allocation," in Current and Future Cellular Systems: Technologies, Applications, and Challenges, IEEE, 2025, pp.227-250, doi: 10.1002/9781394256075.ch12
R. Martin, Clean Code: A Handbook of Agile Software Craftsmanship, Pearson Education: London, UK, 2008.
P. Abrahamsson, O. Salo, J. Ronkainen, and J. Warsta, “Agile software development methods: Review and analysis,” arXiv preprint arXiv:1709.08439, 2017.
K. Beck, “Embracing change with extreme programming,” Computer, 32(10), 1999, pp. 70-77.
A.F. Chowdhury, and M.N. Huda, “Comparison between adaptive software development and feature driven development,” in Proceedings of 2011 International Conference on Computer Science and Network Technology, IEEE, Vol. 1, 2011, pp. 363-367.
B.V. De Carvalho, and C.H.P Mello, “Scrum agile product development method literature review, analysis and classification,” Product: Management and Development, 9(1), pp. 39-49.
Ghani, Z. Azham, and S.R. Jeong, “Integrating software security into agile-Scrum method,” KSII Transactions on Internet and Information Systems (TIIS), 8(2), 2014, pp. 646-663.
K. Brady, “AGILE/SCRUM Fails to get to grips with Human Psychology,” 2006.
X. Ge, R.F. Paige, F. Polack, and P. Brooke, “Extreme programming security practices,” in Agile Processes in Software Engineering and Extreme Programming: 8th International Conference, XP 2007, Springer Berlin Heidelberg, 2007, pp. 226-230.
M. McCormick, “Waterfall vs Agile methodology,” MPCS, N/A, 3, 2012.
M. Kramer, “Best practices in systems development lifecycle: An analysis based on the waterfall model,” Review of Business & Finance Studies, 9(1), 2018, pp. 77-84.
B. Boehm, and W.J. Hansen, Spiral development: Experience, principles, and refinements, Carniegie-Mellon University Pittburgh PA Software Engineering Institue, 2000.
T.E. Bell, and T.A. Thayer, “Software requirements: Are they really a problem?,” in Proceedings of the 2nd International Conference on Software Engineering. 1976, pp. 61-68.
S. Balaji, and M.S. Murugaiyan, “Waterfall vs. V-Model vs. Agile: A comparative study on SDLC,” International Journal of Information Technology and Business Management, 2(1), 2012, pp. 26-30.
C. Banerjee, and S.K. Pandey, “Software security rules, SDLC perspective,” arXiv preprint arXiv:0911.0494, 2009
Archer, S., Kaufman, C., 2013. Accelerating outcomes with a hybrid approach within a waterfall Environment. Journal of Applied Economics and Business.
Baird, A., Riggins, F.J., 2012. Planning and Sprinting: Use of a Hybrid Project Management Methodology within a CIS Capstone Course.
Cohn, M. 2009. "Succeeding with Agile: Software Development Using Scrum." Addison-Wesley Professional. Boston, Massachusetts, USA.
Fewell, J., 2017. Hybrid PM Approaches Can Sow Confusion; But Can Deliver Value.
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