Agent-Based Approach for Monitoring Risks in Software Development Projects

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Author(s): Jirapun Daengdej (Assumption University, Thailand)
Copyright: 2021
Pages: 14
Source title: Transdisciplinary Perspectives on Risk Management and Cyber Intelligence
Source Author(s)/Editor(s): Luisa Dall'Acqua (University of Bologna, Italy & LS TCO, Italy)and Irene Maria Gironacci (Swinburne University of Technology, Australia)
DOI: 10.4018/978-1-7998-4339-9.ch007

Keywords: Business & Management / Cyber and Network Security / Information Science Reference / Risk Management & Analysis

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Abstract

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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Agent-Based Approach for Monitoring Risks in Software Development Projects

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