A Large-Scale Empirical Study Identifying Practitioners' Perspectives on Challenges in Docker Development: Analysis using Stack Overflow

International Journal of Innovative Research in Computer and Communication Engineering 12 (2):1104-1111 (2024)
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Abstract

This study investigates Docker-related topics and challenges through an analysis of Stack Overflow posts to identify prevalent issues and trends in Docker development. By leveraging both tag-based and content-based filtering methods, we compiled a comprehensive dataset of Docker discussions. Latent Dirichlet Allocation (LDA) topic modeling was employed to categorize these discussions, revealing that Application Development is the predominant focus, encompassing areas such as Framework Management, Coding Issues, Data Transfer, and Dockerspecific frameworks. This dominant category reflects developers' substantial interest in leveraging Docker for building and managing applications, driven by Docker's significant market presence. The study provides valuable insights into the diverse technical and operational challenges faced by Docker developers, highlighting key areas of interest and difficulty within the Docker community. These findings offer guidance for future research, tool development, and educational resources, aiming to address the evolving needs of Docker practitioners and enhance the overall development experience.

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