Role of AI in Application Life Cycle Management (ALM)
DOI:
https://doi.org/10.47363/JAICC/2024(3)397Keywords:
AI-Driven Development, AI in Software Testing, AIPowered Bug Detection, Machine Learning in ALM, AI-Enhanced DevOps, Low-Code/No-Code AI Tools, AI in Requirements Management, AI for Software Quality Assurance (QA)Abstract
This white paper explores the transformative role of Artificial Intelligence (AI) in Application Life Cycle Management (ALM). As software development
processes become increasingly complex, AI offers innovative solutions to enhance efficiency, quality, and productivity across the entire application lifecycle. This paper examines the current state of AI in ALM, its benefits and challenges, implementation strategies, and future trends. Drawing from industry research, case studies, and expert insights, we provide a comprehensive overview of how AI is reshaping ALM practices and offer best practices for organizations looking to leverage AI in their software development processes.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Journal of Artificial Intelligence & Cloud Computing
This work is licensed under a Creative Commons Attribution 4.0 International License.
