Analyzing the Evolution of Database Usage in Data‐Intensive Software Systems
Loup Meurice, Mathieu Goeminne, Tom Mens, Csaba Nagy, Alexandre Decan, Anthony Cleve · 2018
This chapter presents the research advancements in the field of data-intensive software system evolution, 5 years after the publication of the IEEE Computer column presenting the challenges in this field (A. Cleve, T. Mens, and J.-L. Hainaut (2010) Data-intensive system evolution. Computer, 43(8), 110–112). We present the state of the art in this research domain, and report on the evolution of open-source Java projects relying on relational database technologies. We empirically analyze how the usage of Java database technologies evolve over time. We report on a coarse-grained source-code analysis carried out over several thousands of Java projects, and complement this with a fine-grained longitudinal analysis of the coevolution between database schema changes and source code changes within three large Java projects. The presented results are the first steps toward a recommendation system supporting developers in writing database-centered code.