Automation Strategies for Web and Mobile Applications in Media Domains
DOI:
https://doi.org/10.36676/jrps.v14.i5.1479Keywords:
Automation, web applications, mobile applications, media domain, CI/CD pipelines, automated testing, AI, machine learningAbstract
In the fast-paced and ever-evolving media domain, the demand for seamless user experiences across web and mobile platforms is paramount. Automation has emerged as a critical strategy to ensure the quality, reliability, and efficiency of applications in this sector. This research paper delves into the various automation strategies employed in the development and maintenance of web and mobile applications within the media industry. It explores the unique challenges posed by the dynamic nature of media content, high user engagement, and the necessity for rapid updates, all of which require robust and scalable automation solutions. The paper begins by examining the landscape of media applications, emphasizing the importance of cross-platform consistency, content delivery speed, and user experience. It then outlines the key automation strategies that are tailored specifically for the media domain, including continuous integration and continuous delivery (CI/CD) pipelines, automated testing frameworks, and the integration of AI and machine learning for predictive testing and user behavior analysis. These strategies are essential for maintaining application performance, ensuring compatibility across diverse devices and operating systems, and adapting to the high variability of media content.
References
Kumar, S., & Jain, P. (2020). Continuous Integration and Continuous Delivery: A comprehensive review. Journal of Software Engineering and Applications, 13(3), 72-85. https://doi.org/10.4236/jsea.2020.133005
Pérez, A., & González, M. (2021). AI-driven automation in media applications: Trends and challenges. IEEE Access, 9, 81523-81533. https://doi.org/10.1109/ACCESS.2021.3086543
Smith, R., & Johnson, L. (2022). The role of containerization in modern application development. ACM Computing Surveys, 54(1), 1-20. https://doi.org/10.1145/3457607 DOI: https://doi.org/10.1145/3457607
Miller, T., & Wong, E. (2023). Scalability and traffic management in media applications: Cloud-based solutions. International Journal of Cloud Computing and Services Science, 12(2), 150-165. https://doi.org/10.11591/ijcsa.12.2.140
Brown, A., & Davis, C. (2021). Automated security measures in media applications. Computer Security Journal, 37(4), 220-234. https://doi.org/10.1016/j.cose.2021.102298
Lee, S., & Kim, H. (2022). AI and machine learning for predictive maintenance in media platforms. Journal of Artificial Intelligence and Data Mining, 11(3), 312-328. https://doi.org/10.3390/jadm11030012
Yang, X., & Zhang, Y. (2021). Enhancing user experience through automation in mobile media applications. International Journal of Human-Computer Interaction, 37(9), 890-903. https://doi.org/10.1080/10447318.2021.1930458
Wilson, K., & Martinez, J. (2022). Automation in multi-cloud environments: Challenges and strategies. Cloud Computing Review, 16(1), 45-62. https://doi.org/10.1007/s12152-021-09725-3
Garcia, M., & Anderson, R. (2021). Security automation in the media industry: A case study. Journal of Cybersecurity, 7(2), 155-170. https://doi.org/10.1093/cyber/cyab026
Nguyen, H., & Patel, D. (2023). The impact of microservices architecture on automation. IEEE Software, 40(1), 50-60. https://doi.org/10.1109/MS.2022.3209862
Chen, L., & Zhao, R. (2022). AI-driven content personalization in media applications: Techniques and implementations. Journal of Media Technologies, 8(3), 200-215. https://doi.org/10.1145/3482952
Adams, J., & Edwards, L. (2021). Sustainability and green computing in media application automation. Green Computing and Sustainability, 5(2), 100-115. https://doi.org/10.1016/j.green.2021.100023
Harris, M., & Moore, T. (2022). Ethical considerations in automated decision-making for media applications. Ethics and Information Technology, 24(1), 89-104. https://doi.org/10.1007/s10676-021-09618-0
Roberts, P., & Wilson, G. (2021). Automated monitoring and maintenance in web applications. Software Maintenance Journal, 19(4), 325-339. https://doi.org/10.1109/ICSE.2021.345234
O'Connor, C., & Martin, P. (2022). Comparative analysis of automation strategies across industries. Journal of Business and Technology, 14(1), 75-90. https://doi.org/10.1016/j.jbt.2021.102023
Vishesh Narendra Pamadi, Dr. Ajay Kumar Chaurasia, Dr. Tikam Singh, "Effective Strategies for Building Parallel and Distributed Systems", International Journal of Novel Research and Development (www.ijnrd.org), Vol.5, Issue 1, pp.23-42, January 2020. Available: http://www.ijnrd.org/papers/IJNRD2001005.pdf
Sumit Shekhar, Shalu Jain, Dr. Poornima Tyagi, "Advanced Strategies for Cloud Security and Compliance: A Comparative Study", International Journal of Research and Analytical Reviews (IJRAR), Vol.7, Issue 1, pp.396-407, January 2020. Available: http://www.ijrar.org/IJRAR19S1816.pdf
• Venkata Ramanaiah Chinth, Priyanshi, Prof. Dr. Sangeet Vashishtha, "5G Networks: Optimization of Massive MIMO", International Journal of Research and Analytical Reviews (IJRAR), Vol.7, Issue 1, pp.389-406, February 2020. Available: http://www.ijrar.org/IJRAR19S1815.pdf
Cherukuri, H., Goel, E. L., & Kushwaha, G. S. (2021). Monetizing financial data analytics: Best practice. International Journal of Computer Science and Publication (IJCSPub), 11(1), 76-87. https://rjpn.org/ijcspub/viewpaperforall.php?paper=IJCSP21A1011
Pattabi Rama Rao, Er. Priyanshi, & Prof.(Dr) Sangeet Vashishtha. (2023). Angular vs. React: A comparative study for single page applications. International Journal of Computer Science and Programming, 13(1), 875-894. https://rjpn.org/ijcspub/viewpaperforall.php?paper=IJCSP23A1361
Kanchi, P., Gupta, V., & Khan, S. (2021). Configuration and management of technical objects in SAP PS: A comprehensive guide. The International Journal of Engineering Research, 8(7). https://tijer.org/tijer/papers/TIJER2107002.pdf
Kolli, R. K., Goel, E. O., & Kumar, L. (2021). Enhanced network efficiency in telecoms. International Journal of Computer Science and Programming, 11(3), Article IJCSP21C1004. https://rjpn.org/ijcspub/papers/IJCSP21C1004.pdf
“Building and Deploying Microservices on Azure: Techniques and Best Practices". International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.6, Issue 3, page no.34-49, March-2021, Available : http://www.ijnrd.org/papers/IJNRD2103005.pdf
Pattabi Rama Rao, Er. Om Goel, Dr. Lalit Kumar, "Optimizing Cloud Architectures for Better Performance: A Comparative Analysis", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.g930-g943, July 2021, Available at : http://www.ijcrt.org/papers/IJCRT2107756.pdf
Eeti, S., Goel, P. (Dr.), & Renuka, A. (2021). Strategies for migrating data from legacy systems to the cloud: Challenges and solutions. TIJER (The International Journal of Engineering Research), 8(10), a1-a11. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2110001
Shanmukha Eeti, Dr. Ajay Kumar Chaurasia,, Dr. Tikam Singh,, "Real-Time Data Processing: An Analysis of PySpark's Capabilities", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.8, Issue 3, Page No pp.929-939, September 2021, Available at : http://www.ijrar.org/IJRAR21C2359.pdf
Pattabi Rama Rao, Er. Om Goel, Dr. Lalit Kumar. (2021). Optimizing Cloud Architectures for Better Performance: A Comparative Analysis. International Journal of Creative Research Thoughts (IJCRT), 9(7), g930-g943. http://www.ijcrt.org/papers/IJCRT2107756.pdf
Kumar, S., Jain, A., Rani, S., Ghai, D., Achampeta, S., & Raja, P. (2021, December). Enhanced SBIR based Re-Ranking and Relevance Feedback. In 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 7-12). IEEE. DOI: https://doi.org/10.1109/SMART52563.2021.9676245
Kanchi, P., Gupta, V., & Khan, S. (2021). Configuration and management of technical objects in SAP PS: A comprehensive guide. The International Journal of Engineering Research, 8(7). https://tijer.org/tijer/papers/TIJER2107002.pdf
Harshitha, G., Kumar, S., Rani, S., & Jain, A. (2021, November). Cotton disease detection based on deep learning techniques. In 4th Smart Cities Symposium (SCS 2021) (Vol. 2021, pp. 496-501). IET. DOI: https://doi.org/10.1049/icp.2022.0393
Misra, N. R., Kumar, S., & Jain, A. (2021, February). A review on E-waste: Fostering the need for green electronics. In 2021 international conference on computing, communication, and intelligent systems (ICCCIS) (pp. 1032-1036). IEEE. DOI: https://doi.org/10.1109/ICCCIS51004.2021.9397191
Cherukuri, H., Goel, E. L., & Kushwaha, G. S. (2021). Monetizing financial data analytics: Best practice. International Journal of Computer Science and Publication (IJCSPub), 11(1), 76-87. https://rjpn.org/ijcspub/viewpaperforall.php?paper=IJCSP21A1011
Kumar, A. V., Joseph, A. K., Gokul, G. U. M. M. A. D. A. P. U., Alex, M. P., & Naveena, G. (2016). Clinical outcome of calcium, Vitamin D3 and physiotherapy in osteoporotic population in the Nilgiris district. Int J Pharm Pharm Sci, 8, 157-60.
UNSUPERVISED MACHINE LEARNING FOR FEEDBACK LOOP PROCESSING IN COGNITIVE DEVOPS SETTINGS. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1). https://yigkx.org.cn/index.php/jbse/article/view/225
Kumar Kodyvaur Krishna Murthy, Shalu Jain, & Om Goel. (2022). The Impact of Cloud-Based Live Streaming Technologies on Mobile Applications: Development and Future Trends. Innovative Research Thoughts, 8(1), 181–193. https://doi.org/10.36676/irt.v8.i1.1453 DOI: https://doi.org/10.36676/irt.v8.i1.1453
Swamy, H. (2022). Software quality analysis in edge computing for distributed DevOps using ResNet model. International Journal of Science, Engineering and Technology, 9(2), 1-9. https://doi.org/10.61463/ijset.vol.9.issue2.193 DOI: https://doi.org/10.61463/ijset.vol.9.issue2.193
Aravindsundeep Musunuri, (Dr.) Punit Goel, & A Renuka. (2023). Innovations in Multicore Network Processor Design for Enhanced Performance. Innovative Research Thoughts, 9(3), 177–190. https://doi.org/10.36676/irt.v9.i3.1460 DOI: https://doi.org/10.36676/irt.v9.i3.1460
Abhishek Tangudu, Akshun Chhapola, & Shalu Jain. (2023). Leveraging Lightning Web Components for Modern Salesforce UI Development. Innovative Research Thoughts, 9(2), 220–234. https://doi.org/10.36676/irt.v9.i2.1459 DOI: https://doi.org/10.36676/irt.v9.i2.1459
Chandrasekhara Mokkapati, Shalu Jain, & Pandi Kirupa Gopalakrishna Pandian. (2023). Implementing CI/CD in Retail Enterprises: Leadership Insights for Managing Multi-Billion Dollar Projects. Innovative Research Thoughts, 9(1), 391–405. https://doi.org/10.36676/irt.v9.i1.1458 DOI: https://doi.org/10.36676/irt.v9.i1.1458
Sowmith Daram, Prof.(Dr.) Arpit Jain, & Er. Om Goel. (2021). Containerization and Orchestration: Implementing OpenShift and Docker. Innovative Research Thoughts, 7(4), 255–263. https://doi.org/10.36676/irt.v7.i4.1457 DOI: https://doi.org/10.36676/irt.v7.i4.1457
Umababu Chinta, Om Goel, & Shalu Jain. (2023). Enhancing Platform Health: Techniques for Maintaining Optimizer, Event, Security, and System Stability in Salesforce. International Journal for Research Publication and Seminar, 14(4), 212–228. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1477
Abhishek Tangudu, Shalu Jain, & Akshun Chhapola. (2023). Integrating Salesforce with Third-Party Platforms Challenges and Best Practices. International Journal for Research Publication and Seminar, 14(4), 229–243. https://doi.org/10.36676/jrps.v14.i4.1478 DOI: https://doi.org/10.36676/jrps.v14.i4.1478
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 International Journal for Research Publication and Seminar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.
