Gianlorenzo Occhipinti, Csaba Nagy, Roberto Minelli, Michele Lanza
{"title":"SYN: Ultra-Scale Software Evolution Comprehension","authors":"Gianlorenzo Occhipinti, Csaba Nagy, Roberto Minelli, Michele Lanza","doi":"10.1109/ICPC58990.2023.00020","DOIUrl":null,"url":null,"abstract":"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 vi-sualization 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.Webpage of the tool and demo video: https://syn.si.usi.ch","PeriodicalId":376593,"journal":{"name":"2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPC58990.2023.00020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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 vi-sualization 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.Webpage of the tool and demo video: https://syn.si.usi.ch