{"title":"AHWCI:用于识别高级工作流变更的原型工具","authors":"Fangfei Chen, Wei Song, Chengzhen Zhang, Xuansong Li, Pengcheng Zhang","doi":"10.1109/APSECW.2017.20","DOIUrl":null,"url":null,"abstract":"Identifying a minimum sequence of high-level workflowchanges is required in many application scenarios suchas workflow retrieval, comparison, and merging, etc. However, this problem has been proved to be NP-hard. In this paper, we utilize an A* like algorithm and a set of pruning rules to address this problem. The performance evaluation demonstrates the advantages of our approach over the state-of-the-art approach.","PeriodicalId":172357,"journal":{"name":"2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"AHWCI: A Prototype Tool for Identifying High-Level Workflow Changes\",\"authors\":\"Fangfei Chen, Wei Song, Chengzhen Zhang, Xuansong Li, Pengcheng Zhang\",\"doi\":\"10.1109/APSECW.2017.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Identifying a minimum sequence of high-level workflowchanges is required in many application scenarios suchas workflow retrieval, comparison, and merging, etc. However, this problem has been proved to be NP-hard. In this paper, we utilize an A* like algorithm and a set of pruning rules to address this problem. The performance evaluation demonstrates the advantages of our approach over the state-of-the-art approach.\",\"PeriodicalId\":172357,\"journal\":{\"name\":\"2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSECW.2017.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSECW.2017.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AHWCI: A Prototype Tool for Identifying High-Level Workflow Changes
Identifying a minimum sequence of high-level workflowchanges is required in many application scenarios suchas workflow retrieval, comparison, and merging, etc. However, this problem has been proved to be NP-hard. In this paper, we utilize an A* like algorithm and a set of pruning rules to address this problem. The performance evaluation demonstrates the advantages of our approach over the state-of-the-art approach.
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