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    • 7. 发明授权
    • SAT-based image computation with application in reachability analysis
    • 基于SAT的图像计算应用于可达性分析
    • US06728665B1
    • 2004-04-27
    • US09693979
    • 2000-10-23
    • Aarti GuptaZijiang YangPranav Ashar
    • Aarti GuptaZijiang YangPranav Ashar
    • G06F710
    • G06F17/504
    • A method of performing image or pre-image computation for a system is disclosed. The method comprises representing the system by a finite state model; representing state sets using Binary Decision Diagrams (BDDs); performing a satisfiabilty checking (SAT) based backtrack search algorithm, wherein, the SAT decomposes the search over an entire solution space into multiple sub-problems, and wherein a BDD-based image computation is used to solve each sub-problem by enumerating multiple solutions from the solution space. Further, a method for pruning a search space in a SAT procedure is disclosed. The method comprises using BDD Bounding against an implicit disjunction or conjunction of a given set of BDDs; continuing search if a partial assignment of variables satisfies the implicit disjunction or conjunction, and backtracking if a partial assignment of variables does not satisfy the implicit disjunction or conjunction.
    • 公开了一种用于系统执行图像或预图像计算的方法。 该方法包括通过有限状态模型表示系统; 使用二进制决策图(BDD)表示状态集; 执行基于可靠性检查(SAT)的回溯搜索算法,其中,SAT将整个解空间的搜索分解成多个子问题,并且其中使用基于BDD的图像计算来通过枚举多个解决方案来解决每个子问题 从解决方案空间。 此外,公开了一种在SAT过程中修剪搜索空间的方法。 该方法包括使用BDD边界抵抗一组给定的BDD的隐式分离或连接; 如果变量的部分分配满足隐式分离或连接,并且如果变量的部分分配不满足隐式分离或连接,则继续搜索。
    • 10. 发明授权
    • Disjunctive image computation for sequential systems
    • 顺序系统的分离图像计算
    • US07693690B2
    • 2010-04-06
    • US11367665
    • 2006-03-03
    • Chao WangAarti GuptaZijiang YangFranjo Ivancic
    • Chao WangAarti GuptaZijiang YangFranjo Ivancic
    • G06F17/50G06F13/00
    • G06F11/3608G06F17/504
    • 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.
    • 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。