Occhipinti, Gianlorenzo Nagy, Csaba Minelli, Roberto Lanza, Michele 2023 The comprehension of very large-scale software system evolution remains a challenging problem due to the sheer amount of time-based (i.e., a sequence of changes) data and its intrinsically complex nature (i.e., heterogeneous changes across the entire system source code). It is a necessary step for program comprehension, as systems are not simply created out of thin air in a bang, but are the sum of many changes over long periods of time, by various actors and due to various circumstances. We present SYN, a web-based tool that uses versatile visualization and data processing techniques to create scalable depictions of ultra-scale software system evolution. SYN has been successfully applied on several systems versioned on GitHub, including the nearly 20-year history of the Linux operating system, which totals more than one million commits on more than 100k evolving files. application/pdf https://susi.usi.ch/global/documents/329561 https://localhost:5000/ark:/12658/srd1329561 https://susi.usi.ch/documents/329561/files/Csaba_Minelli_Lanza_2023_IEEE_ICPC.pdf eng https://syn.si.usi.ch info:eu-repo/semantics/altIdentifier/doi/10.1109/ICPC58990.2023.00020 info:eu-repo/semantics/altIdentifier/ark/12658/srd1329561 info:eu-repo/semantics/openAccess Rights reserved IEEE/ACM International Conference on Program Comprehension (ICPC). - 2023, p. 69-73 Software evolution Visualization Analytics info:eu-repo/classification/udc/004 SYN : ultra-scale software evolution comprehension http://purl.org/coar/resource_type/c_5794