Best Practices in Change Management for Cloud-Based Software
DOI:
https://doi.org/10.36676/jrps.v16.i1.39Keywords:
Change management, Cloud-based software, Best practices, Agile methodologies, Continuous monitoring, Automated testing, Iterative planning, Stakeholder communication, Risk mitigation, Proactive training, System resilience, Data integrity.Abstract
This paper explores best practices in change management tailored specifically for cloud-based software environments. As organizations increasingly migrate to cloud infrastructures, the need for robust change management frameworks becomes paramount to address the dynamic nature of cloud services. The study examines methodologies that integrate agile principles with traditional change management strategies, emphasizing the importance of continuous monitoring, stakeholder communication, and risk mitigation. Key practices such as iterative planning, automated testing, and proactive training are analyzed for their roles in ensuring seamless transitions during software updates and migrations. By synthesizing insights from industry case studies and expert interviews, the research identifies critical success factors that contribute to minimizing downtime, maintaining data integrity, and enhancing overall system resilience. The findings provide a comprehensive guide for practitioners seeking to implement effective change management processes that support the strategic objectives of organizations operating in cloud-based ecosystems.
Downloads
References
• Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58.
• Bass, L., Weber, I., & Zhu, L. (2015). DevOps: A Software Architect's Perspective. Addison-Wesley Professional.
• Beck, K., Beedle, M., van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., Grenning, J., Highsmith, J., Hunt, A., Jeffries, R., Kern, J., Marick, B., Martin, R. C., Mellor, S., Schwaber, K., Sutherland, J., & Thomas, D. (2001). Manifesto for Agile Software Development. Retrieved from http://agilemanifesto.org/
• Calheiros, R. N., Ranjan, R., Beloglazov, A., De Rose, C. A. F., & Buyya, R. (2011). CloudSim: A toolkit for modeling and simulation of cloud computing environments. Software: Practice and Experience, 41(1), 23–50.
• Highsmith, J. (2002). Agile Software Development Ecosystems. Addison-Wesley.
• Kim, G., Humble, J., Debois, P., & Willis, J. (2016). The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations. IT Revolution Press.
• Kotter, J. P. (1996). Leading Change. Harvard Business Review Press.
• Lewin, K. (1947). Frontiers in group dynamics. Human Relations, 1(1), 5–41.
• Lacity, M., & Willcocks, L. (2017). Robotic Process Automation and Cognitive Automation: The Next Phase. Steve Brookes Publishing.
• Bass, L., Clements, P., & Kazman, R. (2012). Software Architecture in Practice (3rd ed.). Addison-Wesley.
• Turner, R., & Kruchten, P. (2003). Software architecture: A roadmap. In Proceedings of the Conference on The Future of Software Engineering (FOSE '03) (pp. 39–54).
• Jansen, A., & Bosch, J. (2005). Software architecture as a set of architectural design decisions. In Proceedings of the 5th Working IEEE/IFIP Conference on Software Architecture (pp. 109–120).
• Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. NIST Special Publication 800-145.
• Zhao, L., & Zhang, Y. (2017). A review of change management research in information systems. International Journal of Information Management, 37(5), 408–414.
• Nagappan, N., Ball, T., & Zeller, A. (2008). Mining metrics to predict component failures. IEEE Transactions on Software Engineering, 34(4), 486–496.
• Rahman, F., & Kazman, R. (2007). Quality attribute design primitives. In Proceedings of the IEEE International Conference on Software Architecture (pp. 53–62).
• Borg, M., & Johansson, P. (2015). Agile change management: The role of culture and communication in successful agile transformations. Journal of Systems and Software, 101, 42–52.
• Williams, L., & Cockburn, A. (2003). Agile software development: It's about feedback and change. Computer, 36(6), 39–43.
• Conforto, E. J., Salum, F., Amaral, D. C., da Silva, S. L., & de Almeida, L. F. M. (2016). The agility construct on project management theory. International Journal of Project Management, 34(4), 660–670.
• Fitzgerald, B., & Stol, K.-J. (2017). Continuous software engineering: A roadmap and agenda. Journal of Systems and Software, 123, 176–189.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal for Research Publication and Seminar

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.