Nikolas Havrikov, M. Höschele, Juan P. Galeotti, A. Zeller
{"title":"XMLMate: evolutionary XML test generation","authors":"Nikolas Havrikov, M. Höschele, Juan P. Galeotti, A. Zeller","doi":"10.1145/2635868.2661666","DOIUrl":null,"url":null,"abstract":"Generating system inputs satisfying complex constraints is still a challenge for modern test generators. We present XMLMATE, a search-based test generator specially aimed at XML-based systems. XMLMATE leverages program structure, existing XML schemas, and XML inputs to generate, mutate, recombine, and evolve valid XML inputs. Over a set of seven XML-based systems, XMLMATE detected 31 new unique failures in production code, all triggered by system inputs and thus true alarms.","PeriodicalId":250543,"journal":{"name":"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2635868.2661666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
Generating system inputs satisfying complex constraints is still a challenge for modern test generators. We present XMLMATE, a search-based test generator specially aimed at XML-based systems. XMLMATE leverages program structure, existing XML schemas, and XML inputs to generate, mutate, recombine, and evolve valid XML inputs. Over a set of seven XML-based systems, XMLMATE detected 31 new unique failures in production code, all triggered by system inputs and thus true alarms.