{"title":"降低软件可靠性对操作剖面变化的敏感性","authors":"B. Cukic, F. Bastani","doi":"10.1109/ISSRE.1996.558694","DOIUrl":null,"url":null,"abstract":"In the statistical sampling method, as in any other statistical approaches for measuring software reliability, the inputs to the program are chosen according to the estimated probability with which they occur in field use, forming the operational profile. However, in practice it is very difficult to accurately assess the operational distribution of input points. Furthermore, a variety of factors can cause the operational distribution to change during field use making the estimation even more difficult. Musa (1993) has suggested that reducing the size of the input domain simplifies the task of determining operational profiles. We present a class of techniques that reduce the dimensionality of input domains and describe their application. These techniques do not limit the functionality or change the input-output behavior of the program. An additional benefit of these techniques is the insensitivity of the reliability estimate to variations in the operational profile of variables eliminated from the input domain.","PeriodicalId":441362,"journal":{"name":"Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"On reducing the sensitivity of software reliability to variations in the operational profile\",\"authors\":\"B. Cukic, F. Bastani\",\"doi\":\"10.1109/ISSRE.1996.558694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the statistical sampling method, as in any other statistical approaches for measuring software reliability, the inputs to the program are chosen according to the estimated probability with which they occur in field use, forming the operational profile. However, in practice it is very difficult to accurately assess the operational distribution of input points. Furthermore, a variety of factors can cause the operational distribution to change during field use making the estimation even more difficult. Musa (1993) has suggested that reducing the size of the input domain simplifies the task of determining operational profiles. We present a class of techniques that reduce the dimensionality of input domains and describe their application. These techniques do not limit the functionality or change the input-output behavior of the program. An additional benefit of these techniques is the insensitivity of the reliability estimate to variations in the operational profile of variables eliminated from the input domain.\",\"PeriodicalId\":441362,\"journal\":{\"name\":\"Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSRE.1996.558694\",\"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 of ISSRE '96: 7th International Symposium on Software Reliability Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSRE.1996.558694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On reducing the sensitivity of software reliability to variations in the operational profile
In the statistical sampling method, as in any other statistical approaches for measuring software reliability, the inputs to the program are chosen according to the estimated probability with which they occur in field use, forming the operational profile. However, in practice it is very difficult to accurately assess the operational distribution of input points. Furthermore, a variety of factors can cause the operational distribution to change during field use making the estimation even more difficult. Musa (1993) has suggested that reducing the size of the input domain simplifies the task of determining operational profiles. We present a class of techniques that reduce the dimensionality of input domains and describe their application. These techniques do not limit the functionality or change the input-output behavior of the program. An additional benefit of these techniques is the insensitivity of the reliability estimate to variations in the operational profile of variables eliminated from the input domain.