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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Agent-Based Approach for Monitoring Risks in Software Development Projects

Agent-Based Approach for Monitoring Risks in Software Development Projects
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Author(s): Jirapun Daengdej (Assumption University, Thailand)
Copyright: 2022
Pages: 11
Source title: Research Anthology on Agile Software, Software Development, and Testing
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3702-5.ch018


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According to various surveys conducted, regardless of how many studies in software development projects have been done, the chance that software development projects may fail remains very high. A relatively new approach to the problem of failure is using the concept of artificial intelligence (AI) to help automate a certain part(s) of the projects in order to minimize the issue. Unfortunately, most of the works proposed to date use AI as a standalone system, which leads to limiting the degree of automation that the overall system can benefit from the technology. This chapter discusses a preliminary work on a novel risk monitoring, which utilizes a number of agent-based systems that cooperate with each other in minimizing risks for the projects. The proposed model not only leads to a high degree of automation in risk management, but this extensible model also allows additional tasks in risk monitoring to be easily added and automated if required.

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