{"title":"代码变更的影响分析","authors":"M. Kuzmin, Vitaly Pelin, I. Isaev, I. Perl","doi":"10.23919/FRUCT.2018.8588108","DOIUrl":null,"url":null,"abstract":"This article addresses estimation of source code changes influence on a high-scale software solutions. Described existing approaches address this issue only partially while the proposed solution is aiming to provide an ability of deep influence tracing from changed source code piece through the rest of the project. Such information can be used as a solid and reliable baseline for the risk management and estimation in cases of making code changes in the project or when changing version of used third party library with available source codes.","PeriodicalId":183812,"journal":{"name":"2018 23rd Conference of Open Innovations Association (FRUCT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Influence Produced by Code Changing\",\"authors\":\"M. Kuzmin, Vitaly Pelin, I. Isaev, I. Perl\",\"doi\":\"10.23919/FRUCT.2018.8588108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article addresses estimation of source code changes influence on a high-scale software solutions. Described existing approaches address this issue only partially while the proposed solution is aiming to provide an ability of deep influence tracing from changed source code piece through the rest of the project. Such information can be used as a solid and reliable baseline for the risk management and estimation in cases of making code changes in the project or when changing version of used third party library with available source codes.\",\"PeriodicalId\":183812,\"journal\":{\"name\":\"2018 23rd Conference of Open Innovations Association (FRUCT)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 23rd Conference of Open Innovations Association (FRUCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/FRUCT.2018.8588108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 23rd Conference of Open Innovations Association (FRUCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/FRUCT.2018.8588108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article addresses estimation of source code changes influence on a high-scale software solutions. Described existing approaches address this issue only partially while the proposed solution is aiming to provide an ability of deep influence tracing from changed source code piece through the rest of the project. Such information can be used as a solid and reliable baseline for the risk management and estimation in cases of making code changes in the project or when changing version of used third party library with available source codes.