{"title":"评估上下文敏感的切片和斩切","authors":"J. Krinke","doi":"10.1109/ICSM.2002.1167744","DOIUrl":null,"url":null,"abstract":"We present an empirical evaluation of three context-sensitive slicing algorithms and five context-sensitive chopping algorithms, and compare them to context-insensitive methods. Besides the algorithms by Reps et al. (1994, 1995) and Agrawal (2001) we investigate six new algorithms based on variations of k-limited call strings and approximative chopping based on summary information. It turns out that chopping based on summary information may have a prohibitive complexity, and that approximate algorithms are almost as precise and much faster.","PeriodicalId":385190,"journal":{"name":"International Conference on Software Maintenance, 2002. Proceedings.","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"Evaluating context-sensitive slicing and chopping\",\"authors\":\"J. Krinke\",\"doi\":\"10.1109/ICSM.2002.1167744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an empirical evaluation of three context-sensitive slicing algorithms and five context-sensitive chopping algorithms, and compare them to context-insensitive methods. Besides the algorithms by Reps et al. (1994, 1995) and Agrawal (2001) we investigate six new algorithms based on variations of k-limited call strings and approximative chopping based on summary information. It turns out that chopping based on summary information may have a prohibitive complexity, and that approximate algorithms are almost as precise and much faster.\",\"PeriodicalId\":385190,\"journal\":{\"name\":\"International Conference on Software Maintenance, 2002. Proceedings.\",\"volume\":\"140 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Software Maintenance, 2002. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSM.2002.1167744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Software Maintenance, 2002. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSM.2002.1167744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present an empirical evaluation of three context-sensitive slicing algorithms and five context-sensitive chopping algorithms, and compare them to context-insensitive methods. Besides the algorithms by Reps et al. (1994, 1995) and Agrawal (2001) we investigate six new algorithms based on variations of k-limited call strings and approximative chopping based on summary information. It turns out that chopping based on summary information may have a prohibitive complexity, and that approximate algorithms are almost as precise and much faster.