Authors : Tony Isioma Azonuche; Mathias Ewan Aigbogun; Joy Onma Enyejo

Volume/Issue : Volume 10 - 2025, Issue 4 - April

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DOI : https://doi.org/10.38124/ijisrt/25apr1164

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Abstract : In today’s fast-paced software industry, regulated environments such as healthcare, finance, and defense demand both rapid innovation and strict compliance adherence. This review investigates the integration of hybrid agile frameworks that combine Scrum and DevOps methodologies to facilitate continuous delivery while ensuring regulatory compliance. By merging Scrum’s iterative planning and feedback mechanisms with DevOps’ automation, deployment, and infrastructure- as-code capabilities, organizations can achieve faster time-to-market, improved software quality, and enhanced traceability of requirements. The paper explores how hybrid agile frameworks address critical challenges such as auditability, documentation standards, and role alignment in regulated sectors. It further reviews recent advancements in toolchains, compliance automation, and pipeline governance, providing a comprehensive synthesis of best practices and empirical findings. Through the evaluation of case studies and scholarly literature, the study highlights the strategic benefits, limitations, and future potential of hybrid agile approaches in enabling compliant continuous delivery. This research contributes to the evolving discourse on agile adaptability and supports decision-makers in selecting tailored frameworks for complex, regulated software ecosystems.

Keywords : Hybrid Agile Frameworks; Scrum; Devops; Continuous Delivery; Regulated Software Environments.

References :

1. Abomhara, M., & Køien, G. M. (2015). Cyber security and the Internet of Things: Vulnerabilities, threats, intruders and attacks. Journal of Cyber Security and Mobility, 4(1), 65–88.
2. Akindote, O., Enyejo, J. O., Awotiwon, B. O. & Ajayi, A. A. (2024). Integrating Blockchain and Homomorphic Encryption to Enhance Security and Privacy in Project Management and Combat Counterfeit Goods in Global Supply Chain Operations. International Journal of Innovative Science and Research Technology Volume 9, Issue 11, NOV. 2024, ISSN No:-2456-2165.
3. Almeida, J. P. A., Guizzardi, G., & Santos, P. S. (2019). A systematic review of the application of compliance requirements in software systems. Information and Software Technology, 108, 1–20.
4. Ayoola, V. B., Idoko, P. I., Danquah, E. O.,  Ukpoju, E. A.,  Obasa, J.,  Otakwu, A. & Enyejo, J. O. (2024). Optimizing Construction Management and Workflow Integration through Autonomous Robotics for Enhanced Productivity Safety and Precision on Modern Construction Sites. International Journal of Scientific Research and Modern Technology (IJSRMT). Vol 3, Issue 10, 2024.
5. Bass, L., Weber, I., & Zhu, L. (2015). DevOps: A software architect’s perspective. IEEE Software, 32(2), 94–100.
6. Chansopheaktra, C. (2023). DevOps Culture: Building Collaboration, Communication, and Continuous Improvement.
7. Conboy, K. (2009). Agility from first principles: Reconstructing the concept of agility in information systems development. Information Systems Research, 20(3), 329–354.
8. Conforto, E. C., Salum, F., Amaral, D. C., da Silva, S. L., & de Almeida, L. F. M. (2016). Can agile project management be adopted by industries other than software development? Project Management Journal, 47(3), 21–34.
9. Dakkak, A., Bosch, J., & Olsson, H. H. (2022, May). Controlled continuous deployment: A case study from the telecommunications domain. In Proceedings of the International Conference on Software and System Processes and International Conference on Global Software Engineering (pp. 24-33).
10. Dove, R. & LaBarge, R. (2014). Fundamentals of Agile Systems Engineering.
11. Ebenibo, L.,  Enyejo, J. O., Addo, G., &  Olola, T. M. (2024). Evaluating the Sufficiency of the data protection act 2023 in the age of Artificial Intelligence (AI): A comparative case study of Nigeria and the USA. International Journal of Scholarly Research and Reviews, 2024, 05(01), 088–107.
12. Ebika, I. M., Idoko, D. O., Efe, F., Enyejo, L. A.,  Otakwu, A., & Odeh, I. I., (2024). Utilizing Machine Learning for Predictive Maintenance of Climate-Resilient Highways through Integration of Advanced Asphalt Binders and Permeable Pavement Systems with IoT Technology. International Journal of Innovative Science and Research Technology. Volume 9, Issue 11, November– 2024 ISSN No:-2456-2165.
13. Enyejo, J. O., Adeyemi, A. F., Olola, T. M., Igba, E & Obani, O. Q. (2024). Resilience in supply chains: How technology is helping USA companies navigate disruptions. Magna Scientia Advanced Research and Reviews, 2024, 11(02), 261–277.
14. Enyejo, J. O., Fajana, O. P., Jok, I. S., Ihejirika, C. J.,  Awotiwon,  B. O., & Olola, T. M. (2024). Digital Twin Technology, Predictive Analytics, and Sustainable Project Management in Global Supply Chains for Risk Mitigation, Optimization, and Carbon Footprint Reduction through Green Initiatives. International Journal of Innovative Science and Research Technology, Volume 9, Issue 11, November– 2024.  ISSN No:-2456-2165.
15. Enyejo, L. A., Adewoye, M. B. & Ugochukwu, U. N. (2024). Interpreting Federated Learning (FL) Models on Edge Devices by Enhancing Model Explainability with Computational Geometry and Advanced Database Architectures. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. Vol. 10 No. 6 (2024): November-December doi
16. Erich, F. M. A., Amrit, C., & Daneva, M. (2017). A mapping study of the practice of DevOps. Journal of Systems and Software, 129, 1–16.
17. Fitzgerald, B., & Stol, K.-J. (2015). Continuous software engineering: A roadmap and agenda. Journal of Systems and Software, 123, 176–189.
18. Fitzgerald, B., & Stol, K.-J. (2017). Continuous software engineering: A roadmap and agenda. Journal of Systems and Software, 123, 176–189.
19. Fitzgerald, B., Stol, K. J., O'Sullivan, R., & O'Brien, D. (2013). Scaling agile methods to regulated environments: An industry case study. In 2013 35th International Conference on Software Engineering (ICSE) (pp. 863-872). IEEE.
20. Forsgren, N., Humble, J., & Kim, G. (2016). The role of continuous delivery in IT and organizational performance. Information and Software Technology, 82, 82–90.
21. Gandomani, T. J., & Nafchi, M. Z. (2016). The essential prerequisites of agile transition and adoption: A grounded theory approach. Journal of Systems and Software, 117, 185–203.
22. Gonçalves, R., Pereira, R., & Mira da Silva, M. (2021). A systematic review on DevOps capabilities and role definitions. Journal of Systems and Software, 178, 110965.
23. Gruhn, V., & Schäfer, C. (2015). From agile software development to DevOps: Going towards continuous delivery. Proceedings of the 2015 IEEE International Conference on Software Engineering and Service Science, 1–6.
24. Hashmi, M., & Ahmad, N. (2020). A framework for integrating regulatory compliance in agile software development. Journal of Software: Evolution and Process, 32(10), e2264.
25. Heeager, L. T., & Nielsen, P. A. (2018). A conceptual model of agile software development in a safety-critical context: A systematic literature review. Information and Software Technology, 103, 22-39.
26. Idoko, I. P., Igbede, M. A., Manuel, H. N. N., Adeoye, T. O., Akpa, F. A., & Ukaegbu, C. (2024). Big data and AI in employment: The dual challenge of workforce replacement and protecting customer privacy in biometric data usage. *Global Journal of Engineering and Technology Advances*, 19(02), 089-106.
27. Ihimoyan, M. K., Ibokette, A. I., Olumide, F. O., Ijiga, O. M., & Ajayi, A. A. (2024). The Role of AI-Enabled Digital Twins in Managing Financial Data Risks for Small-Scale Business Projects in the United States. International Journal of Scientific Research and Modern Technology, 3(6), 12–40.
28. Iivari, J., & Iivari, N. (2011). The relationship between organizational culture and the deployment of agile methods. Information and Software Technology, 53(5), 509–520.
29. Ijiga, A. C., Olola, T. M., Enyejo, L. A., Akpa, F. A., Olatunde, T. I., & Olajide, F. I. (2024). Advanced surveillance and detection systems using deep learning to combat human trafficking. Magna Scientia Advanced Research and Reviews, 2024, 11(01), 267–286.
30. Ijiga, M. O., Olarinoye, H. S., Yeboah, F. A. B. & Okolo, J. N. (2025). Integrating Behavioral Science and Cyber Threat Intelligence (CTI) to Counter Advanced Persistent Threats (APTs) and Reduce Human-Enabled Security Breaches. International Journal of Scientific Research and Modern Technology, 4(3), 1–15.
31. Jalali, S., & Wohlin, C. (2012). Global software engineering and agile practices: A systematic review. Journal of Software: Evolution and Process, 24(6), 643–659.
32. Jok, I. S., & Ijiga, A. C. (2024). The Economic and Environmental Impact of Pressure Washing Services on Urban Infrastructure Maintenance and its Role in a Circular Economy. International Journal of Innovative Science and Research Technology. Volume 9, Issue 11, November– 2024. ISSN No:-2456-2165.
33. Kalenda, M., Hyna, P., & Rossi, B. (2018). Scaling agile in organizations: A comparative study of agile frameworks. Journal of Systems and Software, 146, 1–15.
34. Kandar, V. (2025). Leveraging AI/ML to Execute Projects in the Scrum Framework.
35. Kasauli, R., Knauss, E., Kanagwa, B., Nilsson, A., & Calikli, G. (2018, August). Safety-critical systems and agile development: A mapping study. In 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) (pp. 470-477). IEEE.
36. Kim, S., Zimmermann, T., Whitehead, E. J., & Zeller, A. (2007). Predicting faults from cached history. Proceedings of the 29th International Conference on Software Engineering, 489–498.
37. Kurum, G., & Al-Yahya, M. (2021). Hybrid agile methodologies in large-scale projects: A systematic literature review. Information and Software Technology, 136, 106584.
38. Lee, W. S., Chong, V. E., & Victorino, G. P. (2014). Is Pneumomediastinum on Chest CT in Moderate to Severe Blunt Chest Trauma Patients Clinically Relevant?. Journal of Surgical Research, 186(2), 690.
39. Leite, L., Rocha, C., Kon, F., Milojicic, D., & Meirelles, P. (2020). A survey of DevOps concepts and challenges. ACM Computing Surveys, 52(6), 1–35.
40. Lwakatare, L. E., Kuvaja, P., & Oivo, M. (2016). An exploratory study of devops extending the dimensions of devops with practices. Icsea, 104, 2016.
41. Marques, M., Simmonds, J., Rossel, P. O., & Bastarrica, M. C. (2019). Software product line evolution: A systematic literature review. Information and Software Technology, 105, 190-208.
42. McCarthy, M. A., Herger, L. M., & Khan, S. M. (2014, June). A compliance aware software defined infrastructure. In 2014 IEEE International Conference on Services Computing (pp. 560-567). IEEE.
43. Moe, N. B., Šmite, D., Ågerfalk, P. J., & Jørgensen, M. (2012). Understanding the dynamics of distributed agile teams: A case study of two agile teams. Information and Software Technology, 54(1), 106–120.
44. Muzukwe, S. (2023). A Governance Framework for Security in Cloud Architecture (Master's thesis, University of Johannesburg (South Africa)).
45. Nwatuzie, G. A., Enyejo, L. A. & Umeaku, C. (2025). Enhancing Cloud Data Security Using a Hybrid Encryption Framework Integrating AES, DES, and RC6 with File Splitting and Steganographic Key Management.  International Journal of Innovative Science and Research Technology. Volume 10, Issue 1, ISSN No:-2456-2165.
46. Nwatuzie, G. A., Ijiga, O. M., Idoko, I. P., Enyejo, L. A. & Ali, E. O. (2025).  Design and Evaluation of a User-Centric Cryptographic Model Leveraging Hybrid Algorithms for Secure Cloud Storage and Data Integrity. American Journal of Innovation in Science and Engineering (AJISE). 
47. Paasivaara, M., Behm, B., Lassenius, C., & Hallikainen, M. (2018). Large-scale agile transformation at Ericsson: A case study. Empirical Software Engineering, 23, 2550–2596.
48. Radjenović, D., Heričko, M., Torkar, R., & Živkovič, A. (2013). Software fault prediction metrics: A systematic literature review. Information and Software Technology, 55(8), 1397–1418.
49. Rahman, M., Palade, A., & Clarke, S. (2019). A security framework for continuous software delivery pipelines. Journal of Systems and Software, 155, 208–233.
50. Ramesh, B., Cao, L., & Baskerville, R. (2010). Agile requirements engineering practices and challenges: An empirical study. Information Systems Journal, 20(5), 449–480.
51. Rigby, D. K., Sutherland, J., & Takeuchi, H. (2016). Embracing Agile. Harvard Business Review, 94(5), 40–50.
52. Santos, V. A., Da Silva, F. Q. B., & Travassos, G. H. (2020). A mapping study on the combination of agile and DevOps: Practices and challenges. Journal of Systems and Software, 170, 110717.
53. Schwaber, K., & Sutherland, J. (2017). The Scrum Guide: The definitive guide to Scrum: The rules of the game. Scrum.org.
54. Shahin, M., Babar, M. A., & Zhu, L. (2017). Continuous integration, delivery and deployment: a systematic review on approaches, tools, challenges and practices. IEEE access, 5, 3909-3943.
55. Sienou, A., Lamine, E., & Morley, D. (2014). A framework for modeling and verifying compliance in regulated software systems. Journal of Systems and Software, 95, 193–208.
56. Stålhane, T., Myklebust, T., & Nytrø, Ø. (2012). Combining agile and prescriptive development: A case study. Journal of Systems and Software, 85(6), 1457–1465.
57. Tamburri, D. A., van den Heuvel, W. J., & Lago, P. (2015). Exploring architectural solutions for architecting DevOps pipelines. Journal of Systems and Software, 106, 1–15.
58. Thota, R. C. (2024). Cloud-Native DevSecOps: Integrating Security Automation into CI/CD Pipelines. INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY, 10(6), 1-19.
59. Turetken, O., Stojanov, I., & Trienekens, J. J. M. (2017). Assessing the adoption level of scaled agile development: A case study of a large-scale agile transformation. Journal of Systems and Software, 132, 120–135.
60. Uzoma, E., Enyejo, J. O. & Olola, T. M. (2025). A Comprehensive Review of Multi-Cloud Distributed Ledger Integration for Enhancing Data Integrity and Transactional Security, International Journal of Innovative Science and Research Technology Volume 10, Issue 3, ISSN No:-2456-2165
61. Uzoma, E., Igba, E. & Olola, T. M. (2024). Analyzing Edge AI Deployment Challenges within Hybrid IT Systems Utilizing Containerization and Blockchain-Based Data Provenance Solutions.  International Journal of Scientific Research and Modern Technology, 3(12), 125–141.