{"title":"FabricUnit: A Framework for Faster Execution of Unit Tests on Hyperledger Fabric","authors":"Shashank Motepalli, Patrícia Vilain, H. Jacobsen","doi":"10.1109/ICBC48266.2020.9169430","DOIUrl":null,"url":null,"abstract":"Enterprises and Governments, alike, are leveraging distributed ledger technologies to solve traditional problems across domains. They consider private blockchains such as Hyperledger Fabric as a safe bet for the obvious security and privacy reasons. However, the tools for software reliability are not yet matured. In this work, we propose FabricUnit, a unit testing framework for Hyperledger Fabric clients. FabricUnit identifies the safe methods that do not alter the state and re-uses the setup execution (deleting any stale data and reinitializes the data). Our experiment shows a reduction of approximately 30% in the tests execution time.","PeriodicalId":420845,"journal":{"name":"2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBC48266.2020.9169430","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
Enterprises and Governments, alike, are leveraging distributed ledger technologies to solve traditional problems across domains. They consider private blockchains such as Hyperledger Fabric as a safe bet for the obvious security and privacy reasons. However, the tools for software reliability are not yet matured. In this work, we propose FabricUnit, a unit testing framework for Hyperledger Fabric clients. FabricUnit identifies the safe methods that do not alter the state and re-uses the setup execution (deleting any stale data and reinitializes the data). Our experiment shows a reduction of approximately 30% in the tests execution time.
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