{"title":"基于规范的覆盖度量来评估测试集","authors":"P. Ammann, P. Black","doi":"10.1109/HASE.1999.809499","DOIUrl":null,"url":null,"abstract":"Software developers use a variety of methods, including both formal methods and testing, to argue that their systems are suitable components for high assurance applications. In this paper, we develop another connection between formal methods and testing by defining a specification-based coverage metric to evaluate test sets. Formal methods in the form of a model checker supply the necessary automation to make the metric practical. The metric gives the software developer assurance that a given test set is sufficiently sensitive to the structure of an application's specification. In this paper, we develop the necessary foundation for the metric and then illustrate the metric on an example.","PeriodicalId":369187,"journal":{"name":"Proceedings 4th IEEE International Symposium on High-Assurance Systems Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"132","resultStr":"{\"title\":\"A specification-based coverage metric to evaluate test sets\",\"authors\":\"P. Ammann, P. Black\",\"doi\":\"10.1109/HASE.1999.809499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software developers use a variety of methods, including both formal methods and testing, to argue that their systems are suitable components for high assurance applications. In this paper, we develop another connection between formal methods and testing by defining a specification-based coverage metric to evaluate test sets. Formal methods in the form of a model checker supply the necessary automation to make the metric practical. The metric gives the software developer assurance that a given test set is sufficiently sensitive to the structure of an application's specification. In this paper, we develop the necessary foundation for the metric and then illustrate the metric on an example.\",\"PeriodicalId\":369187,\"journal\":{\"name\":\"Proceedings 4th IEEE International Symposium on High-Assurance Systems Engineering\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"132\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 4th IEEE International Symposium on High-Assurance Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HASE.1999.809499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 4th IEEE International Symposium on High-Assurance Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HASE.1999.809499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A specification-based coverage metric to evaluate test sets
Software developers use a variety of methods, including both formal methods and testing, to argue that their systems are suitable components for high assurance applications. In this paper, we develop another connection between formal methods and testing by defining a specification-based coverage metric to evaluate test sets. Formal methods in the form of a model checker supply the necessary automation to make the metric practical. The metric gives the software developer assurance that a given test set is sufficiently sensitive to the structure of an application's specification. In this paper, we develop the necessary foundation for the metric and then illustrate the metric on an example.