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Decision Support Systems in IT Project Management

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the integration of decision support systems (DSS) into IT project management, focusing on the use of Jira Software by Atlassian. It highlights the need for a decision support system within Jira to manage projects more effectively based on project management theory. The text explores various project management methodologies, including Agile, Scrum, and Kanban, and compares them with traditional approaches like Waterfall. It also discusses different decision-making models, such as the classic, behavioral, and intuitive models, and their applicability in real-life project scenarios. The chapter emphasizes the importance of integrating a knowledge-driven DSS module into project management systems to enhance decision-making processes. It provides a detailed analysis of fuzzy logic and its application in DSS, explaining how fuzzy sets and linguistic variables can be used to describe decision-making strategies. The text also outlines the steps involved in developing a plugin for Jira Software that incorporates DSS functionality, including the use of Java programming language and Jira Confluence for the knowledge base. The chapter concludes by discussing the potential benefits of implementing DSS in project management, such as increased efficiency, reduced errors, and improved decision-making. The practical implementation of a chatbot as a virtual assistant is also explored, showcasing how it can provide theoretical support and self-learning capabilities to enhance project management processes.

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Title
Decision Support Systems in IT Project Management
Authors
Liudmyla Kaminska
Tetiana A. Vakaliuk
Valentyn Yanchuk
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-91953-4_2
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