Evolution Scatterplot: Exploring Software Change Dynamics in Large-Scale Historical Datasets
Serbout, Souhaila; Muñoz Hurtado, Diana Carolina; Atwi, Hassan; Riggio, Edoardo; Pautasso, Cesare;
Evolution Scatterplot: Exploring Software Change Dynamics in Large-Scale Historical Datasets
This is the replication package for VISSOFT 2025 submission #23 titled: "Evolution Scatterplot: Exploring Software Change Dynamics in Large-Scale Historical Datasets." The files contained in this archive are the following: datasets.zip - Contains the CSV files of the datasets included in the tool's website repo.zip - Contains the full repository of the tool's website The OpenAPI dataset is available at: http://openapi.inf.usi.ch/, while the workflows dataset is available at https://zenodo.org/records/13985548.
- University of Zurich Switzerland
- Universita della Svizzera Italiana Switzerland
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average