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

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.

Authors

Institutions

Publication Details

Journal
Modern Dynamics: Mathematical Progressions.
Published
2024-08-31
DOI
https://doi.org/10.36676/mdmp.v1.i2.12
Citations
2
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

S. K. Jain, Vijay Bhasker Reddy Bhimanapati, Anshika Aggarwal
2 citations
Modern Dynamics: Mathematical Progressions.
Context-Aware Activity Recognition Systems
0.50
article

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

S. K. Jain, Vijay Bhasker Reddy Bhimanapati, Anshika Aggarwal
article en
2 citations

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.

Modern Dynamics: Mathematical Progressions.Vol. 1(2)
Hemwati Nandan Bahuguna Garhwal University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Context-Aware Activity Recognition Systems
0.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.