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A Study on Human Centric Agile Methodologies with Big Data & Predictive Analytics in Software Development

International Journal of Research in Signal Processing, Computing & Communication System Design

Volume 5 Issue 1

Published: 2019
Author(s) Name: T . Sasi Vardhan, C. S. R. Prabhu and V. Anitha | Author(s) Affiliation: Research Scholar, Dept. of CSE, UOT, Jaipur, Rajasthan, India.
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Abstract

This paper proposes an agile model-based systems engineering (SE) methodology to engineer the contemporary large, complex, and interdisciplinary systems of systems. This paper introduces the reader the background of Big Data Analytics and how efficiently Agile methodology can be applied to achieve the business goal. The journal focus on giving background of Big Data and how using Agile practices such as iterative, incremental, and evolutionary style of development can be applied for Big Data Analytics. This methodology brings in the advantage of involving business community during development and continuous delivery of working user features. The Agile uses a universal and intuitive SE base process, reducing the complexity and intricacy of the base methods, emphasizing the agile principles such as continuous communication, feedback and stakeholders’ involvement, short iterations, and rapid response, and rousing the utilization of a coherent system model developed through the benchmark systems graphical modeling languages. The Agile methodology also includes a supporting graphical tool that aims to be an agile instrument to be used by systems engineers in a model-based development environment.

Keywords: Agile, Big data analytics, Big data, Data analyst, Model-Based System Engineering (MBSE), Software engineering.

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