Agile Methodologies in Mobile App Development for Real-Time Data Processing

Authors

  • Vijay Bhasker Reddy Bhimanapati Independent Researcher, , H.No. 22-803 Wp, Vinayala Hills, Almasguda, Hyderabad, Telangana - 500058,
  • Shalu Jain Reserach Scholar, Maharaja Agrasen Himalayan Garhwal University, Pauri Garhwal, Uttarakhand
  • Anshika Aggarwal Independent Researcher, Maharaja Agrasen Himalayan Garhwal University, Uttarakhand, India

DOI:

https://doi.org/10.36676/urr.v11.i4.1350

Keywords:

Agile methodologies, mobile app development, real-time data processing, Scrum, Kanban, Extreme Programming, iterative development, continuous feedback

Abstract

In the rapidly evolving landscape of mobile app development, the need for real-time data processing has become increasingly critical. Traditional software development methodologies often struggle to keep pace with the dynamic requirements and quick turnarounds demanded by modern mobile applications. Agile methodologies, with their emphasis on iterative development, flexibility, and close collaboration, offer a promising solution for meeting these demands. This paper explores the integration of Agile methodologies in the development of mobile applications specifically designed for real-time data processing.

Agile approaches, including Scrum, Kanban, and Extreme Programming (XP), are evaluated for their effectiveness in addressing the challenges of real-time data processing in mobile apps. The study emphasizes the importance of continuous feedback, rapid prototyping, and adaptive planning in ensuring that mobile applications can efficiently process and deliver data in real time. Furthermore, the paper discusses how Agile's incremental delivery model allows development teams to respond swiftly to changing user needs and technological advancements, thereby enhancing the overall performance and user experience of mobile apps.

References

Boehm, B. W. (2002). Get ready for agile methods, with care. IEEE Computer, 35(1), 64-69. https://doi.org/10.1109/2.977974

Highsmith, J. (2002). Agile software development ecosystems. Addison-Wesley.

Beck, K., & Andres, C. (2004). Extreme programming explained: Embrace change (2nd ed.). Addison-Wesley.

Cockburn, A. (2006). Agile software development (2nd ed.). Addison-Wesley.

Fowler, M., & Highsmith, J. (2001). The agile manifesto. Software Development, 9(8), 28-35. https://doi.org/10.1109/52.961006

Schwaber, K., & Sutherland, J. (2020). The Scrum guide. https://www.scrumguides.org/scrum-guide.html

Cohn, M. (2005). Agile estimating and planning. Prentice Hall.

Lee, J., & Anderson, R. (2016). Managing real-time data in agile environments. Journal of Software: Evolution and Process, 28(7), 539-556. https://doi.org/10.1002/smr.1814

Paasivaara, M., & Lassenius, C. (2014). Agile methods in distributed environments. Empirical Software Engineering, 19(2), 458-485. https://doi.org/10.1007/s10664-013-9264-2

DeLuca, J. (2019). The role of agile in handling real-time data processing. International Journal of Agile Systems and Management, 12(3), 167-182. https://doi.org/10.1504/IJASM.2019.099452

Sutherland, J., & Schwaber, K. (2017). Scrum: The art of doing twice the work in half the time. Crown Business.

Agile Alliance. (2020). Agile 101: A guide to agile development methodologies. https://www.agilealliance.org/agile101/

Kim, M., & Kwon, S. (2020). Real-time data processing and agile methodologies: A comparative study. Software Engineering Journal, 35(4), 293-311. https://doi.org/10.1049/sej.2019.0091

Biffl, S., & Biffl, R. (2021). Agile and real-time systems: Challenges and solutions. Journal of Systems and Software, 171, 110223. https://doi.org/10.1016/j.jss.2020.110223

Leffingwell, D. (2018). SAFe 4.5 reference guide: Scaled agile framework for lean enterprises. Addison-Wesley.

Abbreviations

Vishesh Narendra Pamadi, Dr. Ajay Kumar Chaurasia, Dr. Tikam Singh, "Comparative Analysis OF GRPC VS. ZeroMQ for Fast Communication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), Vol.7, Issue 2, pp.937-951, February 2020. Available: http://www.jetir.org/papers/JETIR2002540.pdf

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.

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.

Swamy, H. (2020). Unsupervised machine learning for feedback loop processing in cognitive DevOps settings. Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 17(1), 168-183. https://www.researchgate.net/publication/382654014

Downloads

Published

2024-08-31
CITATION
DOI: 10.36676/urr.v11.i4.1350
Published: 2024-08-31

How to Cite

Vijay Bhasker Reddy Bhimanapati, Shalu Jain, & Anshika Aggarwal. (2024). Agile Methodologies in Mobile App Development for Real-Time Data Processing. Universal Research Reports, 11(4), 211–231. https://doi.org/10.36676/urr.v11.i4.1350

Issue

Section

Original Research Article

Most read articles by the same author(s)

1 2 > >>