Abstract:
This report presents an empirical examination aimed at uncovering the intricate
landscape of programming language trends and their implications for software
development. By utilizing statistical methods, this study captures historical behaviors
and provides a comprehensive understanding of the constantly evolving preferences
among developers. This research delves into the intricacies of programming language
choices, shedding light on the dynamic nature of trends in software engineering.
Potentially, this research paper conducts a thorough examination of the popularity of
programming languages using GitHub data, covering aspects like issues, pull requests,
and public repositories. The research examines various aspects such as issues, pull
requests, and public repositories, and derives insights from data collected from Kaggle.
The paper presents experimental results through visualizations that illustrate the
popularity of programming languages over the years. Additionally, it compares the
findings with other reputable sources of information, such as Stack Overflow, PYPL,
TIOBE, and GitHub's Octoverse, to offer a comprehensive perspective. The discussion
critically addresses limitations in the research, with a particular focus on primary
programming languages, and suggests potential directions for future investigations.
Overall, the study provides significant contributions to our understanding of
programming language trends, highlighting the crucial role of GitHub in shaping the
developer community's preferences.
