ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title
Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition
Authors
Malli Temburu
Keywords
Legacy system migration, modernization, predictive analytics, machine learning, system transition, Agile migration model, Waterfall migration model, data integration, risk management, digital transformation, emerging technologies, stakeholder engagement.
Abstract
Legacy system migration and modernization are critical processes for organizations seeking to stay competitive in an increasingly digital world. This review introduces a novel model for legacy system migration that integrates predictive analytics, machine learning, and a multidimensional data approach, combining technical, operational, and organizational data. By comparing this model with traditional Waterfall and Agile methodologies, we demonstrate its enhanced predictive capabilities, adaptability to emerging technologies, and cost-effectiveness. The proposed framework offers significant improvements in risk management, scalability, and stakeholder engagement, addressing gaps in existing models. Furthermore, this paper explores the implications of these advancements for both practitioners and policymakers, providing actionable recommendations for successful legacy system modernization. Future research directions include the integration of additional emerging technologies, longitudinal migration outcomes, and a deeper understanding of human and organizational factors. This review aims to inform researchers, decision-makers, and industry professionals about the latest advancements and provide guidance for more reliable and efficient system migration strategies
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IJCRT — journal style
"Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 5, page no.q976-q985, May 2025, Available :https://ijcrt.org/papers/IJCRT25A5954.pdf
APA — 7th edition
Temburu, M. (2025). Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition. International Journal of Creative Research Thoughts, 13(5), q976-q985. https://doi.org/10.56975/ijcrt.v13i5.292993
MLA — 9th edition
Temburu, Malli. "Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition." International Journal of Creative Research Thoughts, vol. 13, no. 5, 2025, pp. q976-q985, https://doi.org/10.56975/ijcrt.v13i5.292993.
Chicago — 17th, bibliography
Temburu, Malli. "Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition." International Journal of Creative Research Thoughts 13, no. 5 (2025): q976-q985. https://doi.org/10.56975/ijcrt.v13i5.292993.
Harvard — author–date
Temburu, M. (2025) 'Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition', International Journal of Creative Research Thoughts, 13(5), pp. q976-q985. Available at: https://doi.org/10.56975/ijcrt.v13i5.292993
IEEE — numbered reference
M. Temburu, "Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition," IJCRT, vol. 13, no. 5, pp. q976-q985, May. 2025, doi: 10.56975/ijcrt.v13i5.292993.
Vancouver — biomedical
Temburu M. Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition. IJCRT. 2025 May;13(5):q976-q985. doi: 10.56975/ijcrt.v13i5.292993
AMA — 11th edition
Temburu M. Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition. IJCRT. 2025;13(5):q976-q985. doi:10.56975/ijcrt.v13i5.292993
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT25A5954,
author = {Malli Temburu},
title = {Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {5},
pages = {q976-q985},
year = {2025},
month = {May},
issn = {2320-2882},
doi = {10.56975/ijcrt.v13i5.292993},
url = {https://doi.org/10.56975/ijcrt.v13i5.292993}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Temburu, Malli
TI - Advancing Legacy System Migration and Modernization: A Predictive and Holistic Approach for Improved System Transition
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 5
PY - 2025
SN - 2320-2882
DO - 10.56975/ijcrt.v13i5.292993
UR - https://doi.org/10.56975/ijcrt.v13i5.292993
SP - q976-q985
ER -
Issue
Volume 13 Issue 5,
May-2025
Pages : q976-q985
Article Information
- Pages
- q976-q985
- Published
- May 2025
- Registration ID
- IJCRT_292993
- Published Paper ID
- IJCRT25A5954
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- India
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- Request Peer Review Report
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- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 241
- Permanent Link
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- Published Paper PDF
- https://ijcrt.org/papers/IJCRT25A5954.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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