AI-Driven Assistants' Potential for Scaled Agile Software Development

Muhammad Hamza, Muhammad Waseem Iqbal and Saleem Zubair Ahmad
Additional contact information
Muhammad Hamza: Department of Software Engineering, Superior University, Lahore, Pakistan
Muhammad Waseem Iqbal: Associate Professor, Department of Software Engineering, Superior University, Lahore, Pakistan
Saleem Zubair Ahmad: Professor Department of Software Engineering, Superior University, Lahore, Pakistan

Bulletin of Business and Economics (BBE), 2024, vol. 13, issue 2

Abstract: Scaled agile development is commonly used in software engineering to enhance cooperation, productivity, and product quality. Incorporating artificial intelligence (AI) into scaled agile development methods (SADMs) is a promising way to simplify procedures and manage the complexity of software projects. This article examines the impact of AI-powered assistants on the scaled agile framework (SAFe), a popular paradigm for large-scale software development. Our article targets three main objectives: (1) Assessing the obstacles and constraints organizations face while implementing SADMs (2) evaluating the benefits of AI in large-scale situations, and (3) identifying features of SADMs that AI-driven assistants may improve. After conducting a thorough literature analysis, we identified and summarized 18 key difficulties organizations face. Our research identified seven benefits and five barriers to using AI in SADMs. The findings were categorized according to whether they occurred during the development or planning and control stages. We analyzed 15 AI helpers and tools and used them to meet research issues. The findings were categorized according to whether they occurred during the development or planning and control stages. We analyzed 15 AI helpers and tools and used them to meet research issues.

Keywords: SAFe; scaled agile framework; AI; artificial intelligence; tools; assistants; agile; large-scale (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bbejournal.com/BBE/article/view/933/978 (application/pdf)
https://bbejournal.com/BBE/article/view/933 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rfh:bbejor:v:13:y:2024:i:2:p:

Access Statistics for this article

Bulletin of Business and Economics (BBE) is currently edited by Dr. Muhammad Irfan Chani

More articles in Bulletin of Business and Economics (BBE) from Research Foundation for Humanity (RFH) Contact information at EDIRC.
Bibliographic data for series maintained by Dr. Muhammad Irfan Chani ().