CFP last date
20 May 2025
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2025

Submit your paper
Know more
The week's pick
Responsive image
Exploring HCP Influence through Machine Learning: A Predictive Analysis of Lyumjev Prescribing Trends in the North Zone in India

Gourav Shairy Kamalpreet Kaur
Random Articles
Reseach Article

Enhancing Software Reliability: The Role of Automated Continuous Integration and Continuous Delivery

by Sandip J. Gami, Chandrasekhar Rao Katru, Kevin N. Shah
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 1
Year of Publication: 2025
Authors: Sandip J. Gami, Chandrasekhar Rao Katru, Kevin N. Shah
10.5120/ijca2025924785

Sandip J. Gami, Chandrasekhar Rao Katru, Kevin N. Shah . Enhancing Software Reliability: The Role of Automated Continuous Integration and Continuous Delivery. International Journal of Computer Applications. 187, 1 ( May 2025), 57-62. DOI=10.5120/ijca2025924785

@article{ 10.5120/ijca2025924785,
author = { Sandip J. Gami, Chandrasekhar Rao Katru, Kevin N. Shah },
title = { Enhancing Software Reliability: The Role of Automated Continuous Integration and Continuous Delivery },
journal = { International Journal of Computer Applications },
issue_date = { May 2025 },
volume = { 187 },
number = { 1 },
month = { May },
year = { 2025 },
issn = { 0975-8887 },
pages = { 57-62 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number1/enhancing-software-reliability-the-role-of-automated-continuous-integration-and-continuous-delivery/ },
doi = { 10.5120/ijca2025924785 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-05-17T02:45:23.333233+05:30
%A Sandip J. Gami
%A Chandrasekhar Rao Katru
%A Kevin N. Shah
%T Enhancing Software Reliability: The Role of Automated Continuous Integration and Continuous Delivery
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 1
%P 57-62
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability is among the ultimate goals of the modern software engineering discipline. Continuous Integration and Continuous Deployment, both CI/CD, have dramatically transformed the development cycle by incorporating testing and automatic deployment. In this paper, let’s discuss the effects encompassing the implementation of CI/CD pipelines with automation characteristics. Automation is defined across three areas with quantified practices, tools, and measures and underscored with research evidence and examples. This paper explains CI/CD as automation and shows that automated testing, deployment strategies, and monitoring contribute to stable software, minimize human involvement by lowering failure rates, and optimize speed and time. Best practice solutions for effective CI/CD adoption are discussed, and aspects of scalability, security, and organizational integration are covered.

References
  1. Humble, J., & Farley, D. (2010). Continuous delivery: reliable software releases through build, test, and deployment automation. Pearson Education.
  2. Kim, G., Humble, J., Debois, P., Willis, J., & Forsgren, N. (2021). The DevOps handbook: How to create world-class agility, reliability, & security in technology organizations. It Revolution.
  3. Duvall, P. M., Matyas, S., & Glover, A. (2007). Continuous integration: improving software quality and reducing risk. Pearson Education.
  4. Zheng, X. S., Wang, M., Matos, G., & Zhang, S. (2011). Streamlining user experience design and development: roles, tasks and workflow of applying rich application technologies. In Human-Computer Interaction. Design and Development Approaches: 14th International Conference, HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part I 14 (pp. 142-151). Springer Berlin Heidelberg.
  5. 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.
  6. Hu, H., Jiang, C. H., Cai, K. Y., Wong, W. E., & Mathur, A. P. (2013). Enhancing software reliability estimates using modified adaptive testing. Information and Software Technology, 55(2), 288-300.
  7. Ergun, Ö., Gui, L., Heier Stamm, J. L., Keskinocak, P., & Swann, J. (2014). Improving humanitarian operations through technology‐enabled collaboration. Production and Operations Management, 23(6), 1002-1014.
  8. Zampetti, F., Geremia, S., Bavota, G., & Di Penta, M. (2021, September). CI/CD pipelines evolution and restructuring: A qualitative and quantitative study. In 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) (pp. 471-482). IEEE.
  9. Houerbi, A., Siala, C., Tucker, A., Rzig, D. E., & Hassan, F. (2024). Empirical Analysis on CI/CD Pipeline Evolution in Machine Learning Projects. arXiv preprint arXiv:2403.12199.
  10. Stolberg, S. (2009, August). Enabling agile testing through continuous integration. In 2009 agile conference (pp. 369-374). IEEE.
  11. van Deen, W. K., Cho, E. S., Pustolski, K., Wixon, D., Lamb, S., Valente, T. W., & Menchine, M. (2019). Involving end-users in the design of an audit and feedback intervention in the emergency department setting–a mixed methods study. BMC health services research, 19, 1-13.
  12. Bowen, P. L., Heales, J., & Vongphakdi, M. T. (2002). Reliability factors in business software: volatility, requirements and end‐users. Information Systems Journal, 12(3), 185-213.
  13. Garg, S., Pundir, P., Rathee, G., Gupta, P. K., Garg, S., & Ahlawat, S. (2021, December). On continuous integration/continuous delivery for automated deployment of machine learning models using mlops. In 2021 IEEE fourth international conference on artificial intelligence and knowledge engineering (AIKE) (pp. 25-28). IEEE.
  14. Pratama, M. R., & Kusumo, D. S. (2021, August). Implementation of continuous integration and continuous delivery (ci/cd) on automatic performance testing. In 2021 9th International Conference on Information and Communication Technology (ICoICT) (pp. 230-235). IEEE.
  15. Yan, F., Ruwase, O., He, Y., & Chilimbi, T. (2015, August). Performance modeling and scalability optimization of distributed deep learning systems. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1355-1364).
  16. Rine, D. C., & Sonnemann, R. M. (1998). Investments in reusable software. A study of software reuse investment success factors. Journal of systems and software, 41(1), 17-32.
  17. Zahir Irani, P. E. (2000). The propagation of technology management taxonomies for evaluating investments in information systems. Journal of management information systems, 17(3), 161-177.
  18. Mowad, A. M., Fawareh, H., & Hassan, M. A. (2022, November). Effect of using continuous integration (ci) and continuous delivery (cd) deployment in devops to reduce the gap between developer and operation. In 2022 International Arab Conference on Information Technology (ACIT) (pp. 1-8). IEEE.
  19. Kempe, E., & Massey, A. (2021, September). Perspectives on regulatory compliance in software engineering. In 2021 IEEE 29th International Requirements Engineering Conference (RE) (pp. 46-57). IEEE.
  20. Mubarkoot, M., Altmann, J., Rasti-Barzoki, M., Egger, B., & Lee, H. (2023). Software compliance requirements, factors, and policies: A systematic literature review. Computers & Security, 124, 102985.
  21. Kempe, E., & Massey, A. (2021). Regulatory and security standard compliance throughout the software development lifecycle.
Index Terms

Computer Science
Information Sciences

Keywords

Continuous Integration Continuous Delivery Software Reliability Automated Testing DevOps Monitoring Tools.

Powered by PhDFocusTM