Machine Learning Model's Analysis The Success Factors Of Agile Project Management To Determine Project Success Rates

Agile software development refers to a method or strategy for supervising and completing software projects, emphasizing flexibility, collaboration, and incremental progress. This stands in opposition to the conventional Waterfall model, which follows a step-by-step and linear procedure. The Agile methodology is especially suitable for endeavors in which requirements might change over time and where incorporating customer input and adjustments are of the utmost importance. Based on the data collected through the Google Form survey, we are attempting to give precise prediction of project success ratio based on the opinions of 100 Project Management Professionals on 10 parameters using machine learning algorithms.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-05
DOI
https://doi.org/10.52783/jisem.v10i32s.5402
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning Model's Analysis The Success Factors Of Agile Project Management To Determine Project Success Rates

Lalji Prasad Somdatta Parouha
1 links
Journal of Information Systems Engineering & Management
Big Data and Business Intelligence
article

Machine Learning Model's Analysis The Success Factors Of Agile Project Management To Determine Project Success Rates

Lalji Prasad Somdatta Parouha
article en

Abstract

Agile software development refers to a method or strategy for supervising and completing software projects, emphasizing flexibility, collaboration, and incremental progress. This stands in opposition to the conventional Waterfall model, which follows a step-by-step and linear procedure. The Agile methodology is especially suitable for endeavors in which requirements might change over time and where incorporating customer input and adjustments are of the utmost importance. Based on the data collected through the Google Form survey, we are attempting to give precise prediction of project success ratio based on the opinions of 100 Project Management Professionals on 10 parameters using machine learning algorithms.

Journal of Information Systems Engineering & ManagementVol. 10(32s)
Openalex Percentile: Top 90%
Big Data and Business Intelligence
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