Title: The Impact of Data Visualization on Decision-Making in Software Engineering: A Review of Tools and Techniques
Authors: Olumese Anthony Abieba, Olanrewaju Oluwaseun Ajayi, Chisom Elizabeth Alozie
Volume: 9
Issue: 4
Pages: 79-87
Publication Date: 2025/04/28
Abstract:
Data visualization has emerged as a crucial tool in software engineering, significantly enhancing decision-making processes by converting complex datasets into accessible visual formats. This review paper explores the fundamental concepts of data visualization and their influence on decision-making within software engineering projects. It examines the various tools and techniques employed to visualize data effectively, highlighting best practices and addressing challenges faced in real-world scenarios. Through case examples, the paper demonstrates how successful implementation of data visualization can lead to improved project outcomes, such as enhanced code quality, optimized resource allocation, and increased operational efficiency. Additionally, the paper discusses future trends, including integrating artificial intelligence and immersive technologies, which are poised to further transform decision-making practices in software engineering. The review underscores the growing importance of data visualization in navigating the complexities of software development. It suggests that its continued evolution will play a pivotal role in shaping the future of the field.