Hanzhang Wang, C. Shah, Praseeda Sathaye, Amit Nahata, Sanjeev Katariya
{"title":"Service Application Knowledge Graph and Dependency System","authors":"Hanzhang Wang, C. Shah, Praseeda Sathaye, Amit Nahata, Sanjeev Katariya","doi":"10.1109/ASEW.2019.00043","DOIUrl":null,"url":null,"abstract":"Service architecture adoption is widespread and brings many benefits, such as agile development and immutable infrastructure. However, it's hard to govern and understand the vast service ecosystem as each application evolved independently and differently (e.g., features and development methods) from each team. In this paper, we present an approach to model and process application ecosystem as a knowledge graph. The application knowledge graph can help with architectural visibility, operational efficiency, and developer productivity.","PeriodicalId":277020,"journal":{"name":"2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASEW.2019.00043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Service architecture adoption is widespread and brings many benefits, such as agile development and immutable infrastructure. However, it's hard to govern and understand the vast service ecosystem as each application evolved independently and differently (e.g., features and development methods) from each team. In this paper, we present an approach to model and process application ecosystem as a knowledge graph. The application knowledge graph can help with architectural visibility, operational efficiency, and developer productivity.