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1. 发明授权

US08924938B2 Software testing using machine learning 有权
标题翻译：使用机器学习进行软件测试
公开(公告)号：US08924938B2
公开(公告)日：2014-12-30
申请号：US11863387
申请日：2007-09-28
申请人： Richard Chang , Sriram Sankaranarayanan , Guofei Jiang , Franjo Ivancic
发明人： Richard Chang , Sriram Sankaranarayanan , Guofei Jiang , Franjo Ivancic
IPC分类号： G06F9/44 , G06F11/36
CPC分类号： G06F11/3688
摘要： A system and method for analyzing a computer program includes performing a static analysis on a program to determine property correctness. Test cases are generated and conducted to provide test output data. Hypotheses about aspects of execution of the program are produced to classify paths for test cases to determine whether the test cases have been encountered or otherwise. In accordance with the hypothesis, new test cases are generated to cause the program to exercise behavior which is outside of the encountered test cases.
摘要翻译：用于分析计算机程序的系统和方法包括对程序执行静态分析以确定属性正确性。产生并进行测试用例以提供测试输出数据。产生关于程序执行方面的假设，以便对测试用例的路径进行分类，以确定是否遇到了测试用例。根据该假设，生成新的测试用例，以使程序运行不在遇到的测试用例之外的行为。

2. 发明授权

US08191045B2 Mining library specifications using inductive learning 有权
标题翻译：采矿库规范采用归纳学习
公开(公告)号：US08191045B2
公开(公告)日：2012-05-29
申请号：US12050624
申请日：2008-03-18
申请人： Sriram Sankaranarayanan , Franjo Ivancic , Aarti Gupta
发明人： Sriram Sankaranarayanan , Franjo Ivancic , Aarti Gupta
IPC分类号： G06F9/44 , G06F9/445
CPC分类号： G06F8/74 , G06F8/36 , G06F11/3672
摘要： A system and method for mining program specifications includes generating unit tests to exercise functions of a library through an application program interface (API), based upon an (API) signature. A response to the unit tests is determined to generate a transaction in accordance with a target behavior. The transaction is converted into a relational form, and specifications of the library are learned using an inductive logic programming tool from the relational form of the transaction.
摘要翻译：一种用于挖掘程序规范的系统和方法包括：基于（API）签名，通过应用程序接口（API）生成单元测试来执行库的功能。确定对单元测试的响应以根据目标行为生成交易。该事务被转换为关系形式，并且使用来自事务的关系形式的归纳逻辑编程工具来学习库的规范。

3. 发明申请

US20120084761A1 Interprocedural Exception Method 有权
标题翻译：过程间异常方法
公开(公告)号：US20120084761A1
公开(公告)日：2012-04-05
申请号：US13249298
申请日：2011-09-30
申请人： Naoto Maeda , Prakash Prabhu , Gogul Balakrishnan , Franjo Ivancic , Aarti Gupta
发明人： Naoto Maeda , Prakash Prabhu , Gogul Balakrishnan , Franjo Ivancic , Aarti Gupta
IPC分类号： G06F9/44
CPC分类号： G06F8/20 , G06F8/433
摘要： An interprocedural exception analysis and transformation framework for computer programming languages such as C++ that (1) captures the control-flow induced by exceptions precisely, and (2) transforms the given computer program into an exception-free program that is amenable for precise static analysis, verification, and optimizations.
摘要翻译：用于计算机编程语言（如C ++）的过程间异常分析和转换框架，（1）精确地捕获由异常引发的控制流，以及（2）将给定的计算机程序转换为适合于精确静态分析的无异常程序，验证和优化。

4. 发明授权

US08006239B2 Program analysis using symbolic ranges 有权
标题翻译：使用符号范围进行程序分析
公开(公告)号：US08006239B2
公开(公告)日：2011-08-23
申请号：US12015126
申请日：2008-01-16
申请人： Sriram Sankaranarayanan , Aarti Gupta , Franjo Ivancic , Ilya Shlyakhter
发明人： Sriram Sankaranarayanan , Aarti Gupta , Franjo Ivancic , Ilya Shlyakhter
IPC分类号： G06F9/44 , G06F9/45
CPC分类号： G06F11/3604
摘要： A computer implemented method for generating a representation of relationships between variables in a program employing Symbolic Range Constraints (SRCs) wherein the SRCs are of the form φ:^i=1nli≦xi≦ui where for each i ε[l,n], the linear expressions li,ui are made up of variables in the set{xi+1, . . . ,xn} and wherein the SRCs comprise linear, convex, and triangulated constraints for a given variable order.
摘要翻译：一种用于生成使用符号范围约束（SRC）的程序中的变量之间关系的表示的计算机实现的方法，其中所述SRC具有以下形式：其中，对于每个i＆egr; [i，n] ]，线性表达式li，ui由集合{xi + 1，...中的变量组成。。。，xn}，并且其中SRC对于给定的变量顺序包括线性，凸形和三角形约束。

5. 发明授权

US08719793B2 Scope bounding with automated specification inference for scalable software model checking 有权
标题翻译：范围界定了可扩展软件模型检查的自动规范推理
公开(公告)号：US08719793B2
公开(公告)日：2014-05-06
申请号：US13314738
申请日：2011-12-08
申请人： Naoto Maeda , Franjo Ivancic , Sriram Sankaranarayanan , Aarti Gupta
发明人： Naoto Maeda , Franjo Ivancic , Sriram Sankaranarayanan , Aarti Gupta
IPC分类号： G06F9/45
CPC分类号： G06F8/74 , G06F11/3604
摘要： A scalable, computer implemented method for finding subtle flaws in software programs. The method advantageously employs 1) scope bounding which limits the size of a generated model by excluding deeply-nested function calls, where the scope bounding vector is chosen non-monotonically, and 2) automatic specification inference which generates constraints for functions through the effect of a light-weight and scalable global analysis. Advantageously, scalable software model checking is achieved while at the same time finding more bugs.
摘要翻译：一种可扩展的计算机实现的方法，用于在软件程序中发现微妙的缺陷。该方法有利地采用1）范围界限，其通过排除深嵌套的函数调用来限制所生成的模型的大小，其中范围界限向量被非单调地选择，以及2）自动规范推理，其通过效应来产生功能的约束轻量级和可扩展的全球分析。有利地，实现可扩展的软件模型检查，同时发现更多的错误。

6. 发明授权

US08365152B2 Path-sensitive analysis through infeasible-path detection and syntactic language refinement 有权
标题翻译：通过不可行路径检测和句法语言细化进行路径敏感分析
公开(公告)号：US08365152B2
公开(公告)日：2013-01-29
申请号：US12183416
申请日：2008-07-31
申请人： Gogul Balakrishnan , Sriram Sankaranarayanan , Franjo Ivancic , Aarti Gupta
发明人： Gogul Balakrishnan , Sriram Sankaranarayanan , Franjo Ivancic , Aarti Gupta
IPC分类号： G06F9/45
CPC分类号： G06F9/44589 , G06F11/3608
摘要： A system and method for infeasible path detection includes performing a static analysis on a program to prove a property of the program. If the property is not proved, infeasible paths in the program are determined by performing a path-insensitive abstract interpretation. Information about such infeasible paths is used to achieve the effects of path-sensitivity in path-insensitive program analysis.
摘要翻译：用于不可行路径检测的系统和方法包括对程序执行静态分析以证明程序的属性。如果属性未被证明，程序中的不可行路径是通过执行不区分路径的抽象解释来确定的。关于这种不可行路径的信息用于实现路径不敏感程序分析中路径敏感性的影响。

7. 发明授权

US08352222B2 Methods and systems for efficient analysis of hybrid systems using template polyhedra 有权
标题翻译：使用模板多面体对混合系统进行有效分析的方法和系统
公开(公告)号：US08352222B2
公开(公告)日：2013-01-08
申请号：US12236071
申请日：2008-09-23
申请人： Sriram Sankaranarayanan , Franjo Ivancic
发明人： Sriram Sankaranarayanan , Franjo Ivancic
IPC分类号： G06F17/10 , G06F7/60 , G06F7/00 , H03K3/00 , G06G7/00 , G06E3/00
CPC分类号： G05B15/02
摘要： In accordance with aspects of the present principles, an over-approximation of reachable states of a hybrid system may be determined by utilizing template polyhedra. Policy iteration may be utilized to obtain an over-approximation of reachable states in the form of a relaxed invariant based upon template polyhedra expressions. The relaxed invariant may be used to construct a flowpipe to refine the over-approximation and thereby determine the reachable states of the hybrid system.
摘要翻译：根据本原理的方面，可以通过利用模板多面体来确定混合系统的可达状态的过近似。可以利用策略迭代来基于模板多面体表达式以松弛不变量的形式获得可达状态的过近似。可以使用松弛的不变量来构造流量管以改善过近似度，从而确定混合系统的可达状态。

8. 发明授权

US08131532B2 Software verification using range analysis 有权
标题翻译：使用范围分析进行软件验证
公开(公告)号：US08131532B2
公开(公告)日：2012-03-06
申请号：US11422068
申请日：2006-06-03
申请人： Srihari Cadambi , Aleksandr Zaks , Franjo Ivancic , Ilya Shlyakhter , Zijiang Yang , Malay Ganai , Aarti Gupta , Pranav Ashar
发明人： Srihari Cadambi , Aleksandr Zaks , Franjo Ivancic , Ilya Shlyakhter , Zijiang Yang , Malay Ganai , Aarti Gupta , Pranav Ashar
IPC分类号： G06F9/45 , G06F9/44 , G06F9/455
CPC分类号： G06F11/3608
摘要： A system and method is disclosed for formal verification of software programs that advantageously bounds the ranges of values that a variable in the software can take during runtime.
摘要翻译：公开了用于软件程序的形式验证的系统和方法，其有利地限制了在运行时期间软件中变量可以采用的值的范围。

9. 发明授权

US08126831B2 System and method for dynamically inferring data preconditions over predicates by tree learning 有权
标题翻译：通过树木学习动态推断出谓词的数据前提条件的系统和方法
公开(公告)号：US08126831B2
公开(公告)日：2012-02-28
申请号：US12236102
申请日：2008-09-23
申请人： Sriram Sankaranarayanan , Franjo Ivancic , Aarti Gupta
发明人： Sriram Sankaranarayanan , Franjo Ivancic , Aarti Gupta
IPC分类号： G06N5/00
CPC分类号： G06N5/04
摘要： A system and method for inferring preconditions for procedures in a program includes formulating predicates based on inputs to a procedure, including formal arguments, global variables and external environment. Truth assignments are sampled to the predicates to provide truth assignments that lead to a feasible set of input values. Test cases are generated for testing the program in accordance with the truth assignments having feasible sets of input values. The truth assignments are classified to the predicates as providing an error or not providing an error.
摘要翻译：用于推断程序中过程的前提条件的系统和方法包括根据对过程的输入（包括形式参数，全局变量和外部环境）来制定谓词。真理分配被抽样到谓词，以提供导致一组可行的输入值的真值分配。生成测试用例，以便根据具有可行的输入值集合的真值赋值来测试程序。事实分配被分类为谓词提供错误或不提供错误。

10. 发明授权

US07693690B2 Disjunctive image computation for sequential systems 有权
标题翻译：顺序系统的分离图像计算
公开(公告)号：US07693690B2
公开(公告)日：2010-04-06
申请号：US11367665
申请日：2006-03-03
申请人： Chao Wang , Aarti Gupta , Zijiang Yang , Franjo Ivancic
发明人： Chao Wang , Aarti Gupta , Zijiang Yang , Franjo Ivancic
IPC分类号： G06F17/50 , G06F13/00
CPC分类号： G06F11/3608 , G06F17/504
摘要： A symbolic disjunctive image computation method for software models which exploits a number of characteristics unique to software models. More particularly, and according to our inventive method, the entire software model is decomposed into a disjunctive set of submodules and a separate set of transition relations are constructed. An image/reachability analysis is performed wherein an original image computation is divided into a set of image computation steps that may be performed on individual submodules, independently from any others. Advantageously, our inventive method exploits variable locality during the decomposition of the original model into the submodules. By formulating this decomposition as a multi-way hypergraph partition problem, we advantageously produce a small set of submodules while simultaneously minimizing the number of live variable in each individual submodule. Our inventive method produces a set of disjunctive transition relations directly from the software model, without producing a conjunctive transition relation—as is necessary in the prior art. In addition, our inventive method exploits the exclusive use of live variables in addition to novel search strategies which provide still further benefit to our method.
摘要翻译：用于软件模型的符号分离图像计算方法，其利用软件模型独特的许多特征。更具体地，根据本发明的方法，整个软件模型被分解成一个分离的子模块集合，并构建了一组单独的过渡关系。执行图像/可达性分析，其中原始图像计算被划分为可以独立于任何其他方式对各个子模块执行的一组图像计算步骤。有利地，本发明的方法在原始模型分解成子模块期间利用可变局部性。通过将此分解形式作为多路超图分区问题，我们有利地产生一小组子模块，同时最小化每个子模块中的实时变量数量。我们的创造性方法直接从软件模型产生一组分离过渡关系，而不产生结合过渡关系 - 这在现有技术中是必需的。此外，除了新颖的搜索策略之外，我们的创造性方法还利用了实时变量的独家使用，这为我们的方法提供了更多的益处。

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