论文标题

与随机行为的无限状态系统的合成

Synthesis of Infinite-State Systems with Random Behavior

论文作者

Katis, Andreas, Fedyukovich, Grigory, Chen, Jeffrey, Greve, David, Rayadurgam, Sanjai, Whalen, Michael W.

论文摘要

在各种应用程序环境中,给定系统展示行为的多样性是理想的特征。综合实施的综合通常是通过发现传统上确定性的见证Skolem功能来进行的。在本文中,我们提出了一种新颖的Skolem提取算法,以使其能够随机行为的证人合成,并在反应性系统的背景下证明其适用性。设计可以通过设计来保证合成的解决方案,以满足给定的规范,同时在其对外部刺激的反应中表现出高度的多样性。案例研究表明,我们提出的框架工作如何在基于模型的绒毛测试中揭示合成的新应用,以使竞争性能的构成器与通用替代方案以及合成控制器在机器人运动计划问题中的实际实用性。

Diversity in the exhibited behavior of a given system is a desirable characteristic in a variety of application contexts. Synthesis of conformant implementations often proceeds by discovering witnessing Skolem functions, which are traditionally deterministic. In this paper, we present a novel Skolem extraction algorithm to enable synthesis of witnesses with random behavior and demonstrate its applicability in the context of reactive systems. The synthesized solutions are guaranteed by design to meet the given specification,while exhibiting a high degree of diversity in their responses to external stimuli. Case studies demonstrate how our proposed frame-work unveils a novel application of synthesis in model-based fuzz testing to generate fuzzers of competitive performance to general-purpose alternatives, as well as the practical utility of synthesized controllers in robot motion planning problems.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源