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International Journal of Cyber Threat Intelligence and Secure Networking

Open Access Peer Review International
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Modern Software Management Practices in Agile and DevOps Environments: A Review

DOI https://doi.org/10.55640/ijctisn-v03i07-04
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Mr. Kapil Ahir 1 ,
4 Assistant Professor, Department of Computer Sciences and Applications, Mandsaur University, Mandsaur, India

Abstract

A significant change has occurred in software management practices to meet the growing complexity, velocity, and quality requirements of today's software programming. The traditional software development models such as Waterfall, V-Model and Spiral provided structured models but failed to satisfy the changing business needs and demands. Agile and DevOps are now revolutionary practices that encourage collaboration, agility, automation and quick delivery. This review paper discusses the change of the software management practices from traditional to Agile and DevOps environments. It covers the main Agile methodologies such as Scrum, Extreme Programming (XP) and Kanban, and introduces key DevOps concepts including Continuous Integration/Continuous Delivery (CI/CD), Infrastructure as Code (IaC) and automated testing. The paper further examines the synergy between Agile and DevOps, looks at how Agile and DevOps affect software quality, velocity, team productivity, and customer satisfaction. The results reveal that companies that have adopted Agile and DevOps achieve increased adaptability, faster release cycles, improved collaboration, and improved software reliability. The results of the study are unambiguous, and the adoption of Agile and DevOps is now a key component for organizations seeking to embrace digital transformation and continuous innovation in today's software engineering landscape.

Keywords

Software Management, Agile, Software Quality

References

A. K. R. Seella, “Deductive Modelling of User Satisfaction: A Synthetic-User Digital Twin Framework for Early Software Adoption Analysis,” in SoutheastCon 2026, Huntsville, AL, USA: IEEE, Feb. 2026, pp. 1–6. doi: 10.1109/SoutheastCon63549.2026.11476440.
R. Lingam, “Integrating Trustworthiness Into the AI Lifecycle (Trustworthiness),” in AI Safety and Preventing Harm in AI Systems, IGI Global Scientific Publishing, 2026, pp. 213–248. doi: 10.4018/979-8-3373-6935-8.ch008.
V. B. S. Tarakampet, R. R. Koilakonda, and S. Tatavarthi, “Domain Aware Prompt Engineering,” World J. Adv. Eng. Technol. Sci., vol. 16, no. 01, pp. 569–574, july, 2025, doi: 10.30574/wjaets.2025.16.1.1249.
V. Chaturvedi, “Modern Software Development with Java , Spring Boot , and Python : A Survey of Frameworks and Best Practices,” ESP J. Eng. Technol. Adv., vol. 3, no. 4, pp. 188–197, 2023, doi: 10.56472/25832646/JETA-V3I8P121.
N. Kolli, J. W. Sajja, and A. Nerella, “Building Secure AI Agents for Autonomous Data Access in Compliance/Regulatory-Critical Environments,” Comput. Fraud Secur., vol. 2024, no. 9, pp. 363–373, Sep. 2024, doi: 10.52710/cfs.746.
H. N. Dholariya, “AI-Governed Data Modernization Architectures: A Secure and Compliant Framework for Healthcare and Life Sciences Cloud Ecosystems,” Front. Heal. Informatics, vol. 15, no. 1, pp. 102–117, Apr. 2026, doi: 10.63682/fhi2984.
A. Bahi, J. Gharib, and Y. Gahi, “Integrating Generative AI for Advancing Agile Software Development and Mitigating Project Management Challenges,” Int. J. Adv. Comput. Sci. Appl., vol. 15, no. 3, pp. 54–61, 2024, doi: 10.14569/IJACSA.2024.0150306.
[8] T. Shah, “Cloud-Based Data Warehousing for Marketing Agility: Lessons from FinTech Migrations to Snowflake and AWS,” Int. J. Adv. Res. Sci. Commun. Technol., vol. 4, no. 4, March, pp. 642–652, 2024, doi: 10.48175/IJARSCT-16000B.
N. Adik, “The Rise of Open and Free Networks: A Community-Driven Paradigm for Decentralized Connectivity,” in 2025 IEEE First International Conference on Innovations in Engineering and Next-Generation Technologies for Sustainability (ICINVENTS), Coimbatore, India: IEEE, 2025, pp. 1–9, November. doi: 10.1109/ICINVENTS64613.2025.11402224.
J. B. Mehta, “Autonomous Workload Right-Sizing for Multi-Cloud Cost Optimization,” in 2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), Cairo, Egypt: IEEE, 2026, pp. 1–11, June. doi: 10.1109/ICAISET66439.2026.11541899.
J. B. Mehta, “AI-Driven Test Engineering For Cloud-Native Systems,” Int. J. Data Sci. IoT Manag. Syst., vol. 5, no. 1, Jan. 2026, doi: 10.64751/ijdim.2026.v5i1.297.
M. Kari, “AI-Assisted Query Optimization Techniques for Cloud Databases Supporting Hybrid SQL and NoSQL Workloads,” Int. J. Emerg. Res. Eng. Technol., vol. 6, no. 4, pp. 62–71, oct. 2025, doi: 10.63282/3050-922X.IJERET-V6I4P108.
A. A. Soni, M. Parikh, R. N. K. Dhenia, J. A. Soni, A. R. Jha, and S. M. Shah, “Reinforcement Learning for Dynamic Workflow Optimization in CI/CD Pipelines,” arXiv.org, Jan. 2026.
S. Singamsetty, “Edge Nexus: Bridging AI and Data Engineering for Seamless Edge Computing,” Turkish Online J. Qual. Inq., vol. 13, no. 1, pp. 2343–2351, Mar. 2022, doi: 10.53555/axxezz36.
B. Krishnan, S. Perla, S. Maddela, and R. Lingam, “Adaptive Multi-Cloud Infrastructure for CRM Analytics: Real-Time ML and Data Sync with LLMs,” in 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN), IEEE, Nov. 2025, pp. 1–8. doi: 10.1109/GCWCN66157.2025.11448404.
Q. U. Ain, M. Haq, A. A. A. Jilani, and K. Sohail, “A Comparison Between Traditional Software Engineering Practices and AI-Driven Methodologies,” 2025, pp. 57–92. doi: 10.4018/979-8-3373-0370-3.ch002.
R. Rao Thallada and N. Alapati, “Privacy and Cybersecurity Convergence: GRC Controls for Data Protection,” Journal Bus. Manag. Stud., vol. 8, no. 5, pp. 42–48, March, 2026, doi: 10.32996/jbms.
S. K. Pandurangan and A. Sebastian, “EdgeAware: Distributed Intelligence for Latency-Sensitive Applications,” in 2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), IEEE, Sep. 2025, pp. 1134–1141. doi: 10.1109/ICoICI65217.2025.11254220.
H. Ravilla, “Predictive Analytics for Customer Churn in Salesforce Service Cloud,” in Learning and Analytics in Intelligent Systems, 2026, pp. 14–24. doi: 10.1007/978-3-032-05377-0_2.
H. B. Dama, “A Survey of MySQL Database Administration Techniques and Best Practices,” ESP J. Eng. Technol. Adv., vol. 6, no. 1, pp. 89–98, February, 2026.
S. K. Prudhvi Naayini, “Automating Infrastructure Platforms with Cloud, Kubernetes, and Site Reliability Engineering,” Int. J. Comput. Tech. – Vol. 8 Issue 6, November, vol. 1, no. 3, 2021.
M. Al-Zewairi, M. Biltawi, W. Etaiwi, and A. Shaout, “Agile Software Development Methodologies: Survey of Surveys,” J. Comput. Commun., vol. 05, no. 05, pp. 74–97, 2017, doi: 10.4236/jcc.2017.55007.
G. S. Matharu, A. Mishra, H. Singh, and P. Upadhyay, “Empirical Study of Agile Software Development Methodologies,” ACM SIGSOFT Softw. Eng. Notes, vol. 40, no. 1, pp. 1–6, Feb. 2015, doi: 10.1145/2693208.2693233.
M. R. C. Mukkolakkal, “InfraLLM: A Generic Large Language Model Framework for Production-Grade Microservice Auto-Scaling in Cloud Infrastructure,” Int. J. Sci. Res. Mod. Technol., vol. 4, no. 11, pp. 113–123, 2025, doi: 10.38124/ijsrmt.v4i11.1023.
H. Ravilla, J. Yarra, and S. Dilip, “Role of SOQL and Database Optimization in Large-Scale Salesforce Implementations,” Int. J. Eng. Archit., vol. 3, no. 1, pp. 13–31, Feb. 2026, doi: 10.58425/ijea.v3i1.481.
K. Jangiti, “Design and Validation of a Machine Identity Governance Framework for AI Agents in Multi-Cloud Environments,” in SoutheastCon 2026, IEEE, Feb. 2026, pp. 1–6. doi: 10.1109/SoutheastCon63549.2026.11476363.
M. Parikh, A. A. Soni, S. M. Shah, and A. R. Jha, “Big Data Workload Profiling for Energy-Aware Cloud Resource Management,” Jan. 2026, doi: 10.48550/arXiv.2601.11935.
L. Leite, C. Rocha, F. Kon, D. Milojicic, and P. Meirelles, “A Survey of DevOps Concepts and Challenges,” ACM Comput. Surv., vol. 52, no. 6, pp. 1–35, Nov. 2019, doi: 10.1145/3359981.
M. E. Misri, “The Impact of DevOps Practices On Software Development Lifecycle,” Int. J. Creat. Res. Thoughts, vol. 12, no. 12, pp. 1–8, 2024.
V. Sharma, “Cloud-Native 5G Deployments: Kubernetes and Microservices in Telco Networks,” Int. J. Innov. Res. Eng. Multidiscip. Phys. Sci., vol. 10, no. 3, pp. 1–8, May 2022, doi: 10.37082/IJIRMPS.v10.i3.232706.
S. T. N, “Automation of Software Development using DevOps and its Benefits,” Int. J. Eng. Res. Technol., vol. 9, no. 06, pp. 1–3, 2020.
A. B. Chatterjee, “Designing Zero-Downtime, Cloud-Native Transaction Processing Architectures for 24×7 Global Payment Networks,” Int. J. Emerg. Trends Comput. Sci. Inf. Technol., vol. 7, no. 1, pp. 137–145, Feb, 2026, doi: 10.63282/3050-9246.IJETCSIT-V7I1P120.
D. Singh, “Agile and DevOps Practices,” Int. J. Eng. Res. Technol., vol. 14, no. 5, pp. 1–10, 2025.
K. . Lawal, “Agile Methodologies in Software Development: An Applied Review for Contemporary Engineering Practice,” Int. J. Adv. Eng. Manag., vol. 8, no. 2, pp. 297–303, 2026.
U. Hamza, N. L. Abdullah, and S. Mashita Syed-Mohamad, “Integrating DevOps Knowledge Using a University-Based Software Engineering Course in Nigerian Universities,” in 2025 15th IEEE Integrated STEM Education Conference, ISEC 2025, 2025. doi: 10.1109/ISEC64801.2025.11147360.
S. Baitha, V. Soorya, O. Kothari, S. M. Rajagopal, and N. Panda, “Streamlining Software Development: A Comprehensive Study on CI/CD Automation,” in 2024 4th International Conference on Sustainable Expert Systems (ICSES), IEEE, Oct. 2024, pp. 1299–1305. doi: 10.1109/ICSES63445.2024.10763207.
J. J. Cusick, “Jumpstarting and Evolving a Software Quality Management Initiative: From Pre-Web to DevOps,” in Proceedings - 2024 16th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2024, 2024. doi: 10.1109/IIAI-AAI63651.2024.00112.
G. N. Iyer, L. Bing Sen, W. Z. Chester, and K. Chua, “TROFOS - Agile Project Management Platform for Software Engineering Education,” in 2024 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2024 - Proceedings, 2024. doi: 10.1109/TALE62452.2024.10834343.
S. M. Faaiz, S. U. R. Khan, S. Hussain, W. L. Wang, and N. Ibrahim, “A Study on Management Challenges and Practices in DevOps,” in ACM International Conference Proceeding Series, 2023. doi: 10.1145/3593434.3594240.
F. Popențiu-Vlădicescu and G. Albeanu, “Software Dependability Assessment Using DevOps Metrics,” in 2022 6th International Conference on Business and Information Management (ICBIM), IEEE, Aug. 2022, pp. 168–172. doi: 10.1109/ICBIM57406.2022.00037.

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