F. Corradini, F. D. Angelis, A. Polini, A. Polzonetti
{"title":"A participant testing strategy for service orchestrations","authors":"F. Corradini, F. D. Angelis, A. Polini, A. Polzonetti","doi":"10.1109/ICDIM.2008.4746778","DOIUrl":null,"url":null,"abstract":"Service oriented computing is an emerging discipline that promotes and make easier inter-organization integration of software systems. In such a context interoperability issues are considered a primary threat for a correct integration. Testing can be a fruitful approach helping to reduce interoperability mismatches. In this paper, considering the case of services to be integrated within an orchestration, we propose a testing derivation strategy based on a counter-example based technique. The state explosion phenomenon, caused by the presence of complex data sets, is handled by applying genetic algorithm strategies.","PeriodicalId":415013,"journal":{"name":"2008 Third International Conference on Digital Information Management","volume":"204 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2008.4746778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Service oriented computing is an emerging discipline that promotes and make easier inter-organization integration of software systems. In such a context interoperability issues are considered a primary threat for a correct integration. Testing can be a fruitful approach helping to reduce interoperability mismatches. In this paper, considering the case of services to be integrated within an orchestration, we propose a testing derivation strategy based on a counter-example based technique. The state explosion phenomenon, caused by the presence of complex data sets, is handled by applying genetic algorithm strategies.