{"title":"具有访问限制的模式分析","authors":"Michael Benedikt, P. Bourhis, Clemens Ley","doi":"10.1145/2699500","DOIUrl":null,"url":null,"abstract":"We study verification of systems whose transitions consist of accesses to a Web-based data source. An access is a lookup on a relation within a relational database, fixing values for a set of positions in the relation. For example, a transition can represent access to a Web form, where the user is restricted to filling in values for a particular set of fields. We look at verifying properties of a schema describing the possible accesses of such a system. We present a language where one can describe the properties of an access path and also specify additional restrictions on accesses that are enforced by the schema. Our main property language, AccessLTL, is based on a first-order extension of linear-time temporal logic, interpreting access paths as sequences of relational structures. We also present a lower-level automaton model, A-automata, into which AccessLTL specifications can compile. We show that AccessLTL and A-automata can express static analysis problems related to “querying with limited access patterns” that have been studied in the database literature in the past, such as whether an access is relevant to answering a query and whether two queries are equivalent in the accessible data they can return. We prove decidability and complexity results for several restrictions and variants of AccessLTL and explain which properties of paths can be expressed in each restriction.","PeriodicalId":50915,"journal":{"name":"ACM Transactions on Database Systems","volume":"11 1","pages":"5:1-5:46"},"PeriodicalIF":2.2000,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Analysis of Schemas with Access Restrictions\",\"authors\":\"Michael Benedikt, P. Bourhis, Clemens Ley\",\"doi\":\"10.1145/2699500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study verification of systems whose transitions consist of accesses to a Web-based data source. An access is a lookup on a relation within a relational database, fixing values for a set of positions in the relation. For example, a transition can represent access to a Web form, where the user is restricted to filling in values for a particular set of fields. We look at verifying properties of a schema describing the possible accesses of such a system. We present a language where one can describe the properties of an access path and also specify additional restrictions on accesses that are enforced by the schema. Our main property language, AccessLTL, is based on a first-order extension of linear-time temporal logic, interpreting access paths as sequences of relational structures. We also present a lower-level automaton model, A-automata, into which AccessLTL specifications can compile. We show that AccessLTL and A-automata can express static analysis problems related to “querying with limited access patterns” that have been studied in the database literature in the past, such as whether an access is relevant to answering a query and whether two queries are equivalent in the accessible data they can return. We prove decidability and complexity results for several restrictions and variants of AccessLTL and explain which properties of paths can be expressed in each restriction.\",\"PeriodicalId\":50915,\"journal\":{\"name\":\"ACM Transactions on Database Systems\",\"volume\":\"11 1\",\"pages\":\"5:1-5:46\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2015-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Database Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/2699500\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Database Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/2699500","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
We study verification of systems whose transitions consist of accesses to a Web-based data source. An access is a lookup on a relation within a relational database, fixing values for a set of positions in the relation. For example, a transition can represent access to a Web form, where the user is restricted to filling in values for a particular set of fields. We look at verifying properties of a schema describing the possible accesses of such a system. We present a language where one can describe the properties of an access path and also specify additional restrictions on accesses that are enforced by the schema. Our main property language, AccessLTL, is based on a first-order extension of linear-time temporal logic, interpreting access paths as sequences of relational structures. We also present a lower-level automaton model, A-automata, into which AccessLTL specifications can compile. We show that AccessLTL and A-automata can express static analysis problems related to “querying with limited access patterns” that have been studied in the database literature in the past, such as whether an access is relevant to answering a query and whether two queries are equivalent in the accessible data they can return. We prove decidability and complexity results for several restrictions and variants of AccessLTL and explain which properties of paths can be expressed in each restriction.
期刊介绍:
Heavily used in both academic and corporate R&D settings, ACM Transactions on Database Systems (TODS) is a key publication for computer scientists working in data abstraction, data modeling, and designing data management systems. Topics include storage and retrieval, transaction management, distributed and federated databases, semantics of data, intelligent databases, and operations and algorithms relating to these areas. In this rapidly changing field, TODS provides insights into the thoughts of the best minds in database R&D.