Analysis of Enterprise Management Software Development and Project Management Based on DevOps

Qinhong Zhang; Chundong Zhang

doi:10.62051/ijmee.v5n1.02

Authors

Qinhong Zhang
Chundong Zhang

DOI:

https://doi.org/10.62051/ijmee.v5n1.02

Keywords:

DevOps, Software Development, Project Management, Continuous Integration, Automated Testing

Abstract

In the process of enterprise software development, traditional development and operations models face challenges such as low release efficiency and poor stability. This research explores the application of DevOps theory in enterprise management software development and project management. Through literature review and case analysis, the core principles and practices of DevOps are systematically explained, with a focus on the implementation strategies of key components such as continuous integration, automated testing, and monitoring feedback. The study finds that DevOps can effectively improve software delivery efficiency and enhance system stability. Using an e-commerce platform as a case study, the implementation of DevOps significantly improved release efficiency and system availability. The results provide a theoretical basis and practical reference for enterprises to implement DevOps transformation.

References

[1] Akbar M A, Khan A A, Islam N, et al. DevOps project management success factors: A decision‐making framework[J]. Software: Practice and Experience, 2024, 54(2): 257-280.

[2] Gunawan F, K. Budiardjo E. A quest of software process improvements in DevOps and Kanban: A case study in small software company[C]//Proceedings of the 2021 4th International Conference on Software Engineering and Information Management. 2021: 39-45.

[3] Sihombing D J C. Quality and Efficiency Improvement in Construction Project Management through DevOps-based Team Performance Evaluation Application[J]. Kesatria: Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen), 2023, 4(4): 1114-1123.

[4] Narang P, Mittal P. Implementation of DevOps based hybrid model for project management and deployment using Jenkins automation tool with plugins[J]. International Journal of Computer Science & Network Security, 2022, 22(8): 249-259.

[5] Gong L, Gong G, Ling X. Practice of software development based on devops[J]. Forest Chemicals Review, 2021: 1287-1302.

[6] Akbar M A, Khan A A, Mahmood S, et al. A Vision of DevOps Requirements Change Management Standardization [C]//2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C). IEEE, 2022: 587-592.

[7] Faaiz S M, Khan S U R, Hussain S, et al. A Study on Management Challenges and Practices in DevOps [C]//Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering. 2023: 430-437.

[8] Ma, K. (2024). Employee Satisfaction and Firm Performance: Evidence from a Company Review Website. International Journal of Global Economics and Management, 4(2), 407-416.

[9] Li K, Wang J, Wu X, et al. Optimizing automated picking systems in warehouse robots using machine learning[J]. arXiv preprint arXiv:2408.16633, 2024.

[10] Cheng Y, Yang Q, Wang L, Xiang A, Zhang J. Research on credit risk early warning model of commercial banks based on neural network algorithm[J]. Financial Engineering and Risk Management, 2024, 7(4): 20-395.

[11] Ma K. Employee satisfaction and firm performance: evidence from a company review website [J]. International Journal of Global Economics and Management, 2024, 4(2): 407-416.

[12] Qiao Y, et al. Robust domain generalization for multi-modal object recognition[C]//2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA). Shenzhen, China: IEEE, 2024: 392-397.

[13] Fu S, Wymore M L, Chang T, Qiao D. Continuous user authentication based on context-emphasized behavior profiling[C]//2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). Vol. 2, IEEE, 2019: 598-603.