A Systematic Literature Review of Modern Software Visualization
This review helps researchers and developers understand and select appropriate software visualizations, but it is incremental as it synthesizes existing work without introducing new methods.
The authors conducted a systematic literature review of 105 papers from 2013-2019 to analyze the state-of-the-art in software visualization, classifying them by aspects like structure, behavior, and evolution, and providing an overview and research opportunities for researchers and developers.
We report on the state-of-the-art of software visualization. To ensure reproducibility, we adopted the Systematic Literature Review methodology. That is, we analyzed 1440 entries from IEEE Xplore and ACM Digital Library databases. We selected 105 relevant full papers published in 2013-2019, which we classified based on the aspect of the software system that is supported (i.e., structure, behavior, and evolution). For each paper, we extracted main dimensions that characterize software visualizations, such as software engineering tasks, roles of users, information visualization techniques, and media used to display visualizations. We provide researchers in the field an overview of the state-of-the-art in software visualization and highlight research opportunities. We also help developers to identify suitable visualizations for their particular context by matching software visualizations to development concerns and concrete details to obtain available visualization tools.