| Summary: In the recent years, in line with rapid technological transformation in the field of software, a great demand explosion is expected for the software development professionals who have knowledge and equipment that can keep up with this technological transformation in the near future. The analysis and understanding of the expertise knowledge and skills of the next generation software development trends, which are heavily demanded in the software industry, have strategic importance in terms of meeting these demands and needs. In this framework, a semantic analysis based on the probabilistic topic modeling has been performed on software-focused job advertisements using the Latent Dirichlet Allocation method to determine the current demands and trends in the software industry. The findings of the analysis revealed the highly in-demand occupational roles in the software industry, the basic skills of these roles, their rising trends and demands for programming languages. It is envisaged that the findings obtained in this study will contribute to a better understanding of the occupational demands and trends in the software industry.
Key Words: Probabilistic topic modeling, Latent Dirichlet allocation, Trend analysis, Textual data mining, Knowledge extraction, Software development skills, Software industry, Software development trends, Software development expertise areas. |
