Simone Agostinelli, F. Maggi, Andrea Marrella, Massimo Mecella
{"title":"使用自动规划验证基于Petri网的过程模型","authors":"Simone Agostinelli, F. Maggi, Andrea Marrella, Massimo Mecella","doi":"10.1109/EDOCW.2019.00021","DOIUrl":null,"url":null,"abstract":"The identification of control-flow errors in business processes (BPs) at design time is one of the most relevant tasks of the early phases of the Business Process Management (BPM) lifecycle, named BP verification. In this paper, starting from a Petri net-based representation of a BP model, we show how instances of the verification problem can be represented as planning problems in PDDL (Planning Domain Definition Language) for which planners can find a correct solution in a finite amount of time. If verification problems are converted into planning problems, one can seamlessly leverage the best performing automated planners, with advantages in terms of versatility and customization.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Verifying Petri Net-Based Process Models using Automated Planning\",\"authors\":\"Simone Agostinelli, F. Maggi, Andrea Marrella, Massimo Mecella\",\"doi\":\"10.1109/EDOCW.2019.00021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The identification of control-flow errors in business processes (BPs) at design time is one of the most relevant tasks of the early phases of the Business Process Management (BPM) lifecycle, named BP verification. In this paper, starting from a Petri net-based representation of a BP model, we show how instances of the verification problem can be represented as planning problems in PDDL (Planning Domain Definition Language) for which planners can find a correct solution in a finite amount of time. If verification problems are converted into planning problems, one can seamlessly leverage the best performing automated planners, with advantages in terms of versatility and customization.\",\"PeriodicalId\":246655,\"journal\":{\"name\":\"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDOCW.2019.00021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDOCW.2019.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Verifying Petri Net-Based Process Models using Automated Planning
The identification of control-flow errors in business processes (BPs) at design time is one of the most relevant tasks of the early phases of the Business Process Management (BPM) lifecycle, named BP verification. In this paper, starting from a Petri net-based representation of a BP model, we show how instances of the verification problem can be represented as planning problems in PDDL (Planning Domain Definition Language) for which planners can find a correct solution in a finite amount of time. If verification problems are converted into planning problems, one can seamlessly leverage the best performing automated planners, with advantages in terms of versatility and customization.