Software testing using machine learning
    1.
    发明授权
    Software testing using machine learning 有权
    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

    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。

    SOFTWARE TESTING USING MACHINE LEARNING
    2.
    发明申请
    SOFTWARE TESTING USING MACHINE LEARNING 有权
    使用机器学习的软件测试

    公开(公告)号:US20080082968A1

    公开(公告)日:2008-04-03

    申请号:US11863387

    申请日:2007-09-28

    IPC分类号: G06F9/44

    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。

    FEEDBACK-GUIDED FUZZ TESTING FOR LEARNING INPUTS OF COMA
    3.
    发明申请
    FEEDBACK-GUIDED FUZZ TESTING FOR LEARNING INPUTS OF COMA 审中-公开
    反馈引导FUZZ测试用于COMA的学习输入

    公开(公告)号:US20100058475A1

    公开(公告)日:2010-03-04

    申请号:US12397041

    申请日:2009-03-03

    IPC分类号: G06F15/18 G06F11/00

    CPC分类号: H04L63/1433 G06F21/577

    摘要: Embodiments of the present invention combine static analysis, source code instrumentation and feedback-guided fuzz testing to automatically detect resource exhaustion denial of service attacks in software and generate inputs of coma for vulnerable code segments. The static analysis of the code highlights portions that are potentially vulnerable, such as loops and recursions whose exit conditions are dependent on user input. The code segments are dynamically instrumented to provide a feedback value at the end of each execution. Evolutionary techniques are then employed to search among the possible inputs to find inputs that maximize the feedback score.

    摘要翻译: 本发明的实施例将静态分析,源代码仪表和反馈引导的模糊测试结合起来,自动检测软件中的资源耗尽拒绝服务攻击,并为脆弱的代码段生成昏迷的输入。 代码的静态分析突出显示可能易受攻击的部分,例如其退出条件取决于用户输入的循环和递归。 代码段被动态调整,以在每次执行结束时提供反馈值。 然后使用进化技术来搜索可能的输入以找到使反馈分数最大化的输入。

    Mining library specifications using inductive learning
    4.
    发明授权
    Mining library specifications using inductive learning 有权
    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

    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。

    Program analysis using symbolic ranges
    5.
    发明授权
    Program analysis using symbolic ranges 有权
    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

    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。

    Scope bounding with automated specification inference for scalable software model checking
    6.
    发明授权
    Scope bounding with automated specification inference for scalable software model checking 有权
    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

    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。

    Methods and systems for efficient analysis of hybrid systems using template polyhedra
    8.
    发明授权
    Methods and systems for efficient analysis of hybrid systems using template polyhedra 有权
    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

    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。

    System and method for dynamically inferring data preconditions over predicates by tree learning
    9.
    发明授权
    System and method for dynamically inferring data preconditions over predicates by tree learning 有权
    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

    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。