Sofia, Mendes and Kaito, Fujimoto and Dr. Marcus, Ferreira (2023) Data-Driven Decision Making in Agile Software Development with AI and Analytics. American Journal of Engineering, Mechanics and Architecture, 1 (9). pp. 216-229. ISSN 2993-2637

Text 216-229 Data-Driven Decision Making in Agile Software Development with AI and Analytics.pdf Download (386kB)

Abstract

In today’s rapidly evolving software landscape, Agile methodologies emphasize flexibility, iterative delivery, and customer-centric development. However, the increasing complexity of software systems, distributed teams, and accelerated release cycles pose challenges for making timely and accurate decisions. Data-driven decision making (DDDM), empowered by artificial intelligence (AI) and advanced analytics, has emerged as a critical enabler for enhancing decision quality, optimizing workflows, and improving project outcomes in Agile environments.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	26 Sep 2025 12:08
Last Modified:	26 Sep 2025 12:08
URI:	http://eprints.umsida.ac.id/id/eprint/16388

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