SYN
ultra-scale software evolution comprehension
Informazioni aggiuntive
Autori
Occhipinti G.,
Nagy C.,
Minelli R.,
Lanza M.
Tipo
Contributo in atti di convegno
Anno
2023
Lingua
Inglese
Sommario
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.
Parole chiave
Software evolution, Visualization, Analytics
Titolo atti di convegno
2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC)
Pagine (o numero dell’articolo)
69-73
Diffusione
Licenza
Licenza non definita
Visibilità
Pubblico
Status open access
Green
