建筑物的正面
发表于 2025-3-21 17:23:06
书目名称Software Verification影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0871064<br><br> <br><br>书目名称Software Verification读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0871064<br><br> <br><br>
Crumple
发表于 2025-3-21 21:28:32
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束缚
发表于 2025-3-22 03:20:27
Partial Order Reduction for Timed Actorses (states where the only outgoing transition shows the progress of time). We generate the state space of a case study in the domain of air traffic control systems based on the proposed POR. The results on our benchmarks illustrate that our POR method, on average, reduces the time and memory consump
性学院
发表于 2025-3-22 08:35:12
Uncertainty-Aware Signal Temporal Logic Inferenced or violated by the interval trajectory. The second approach relies on the first learning algorithm and exploits the decision trees to infer STL formulas to classify behaviors of a given system. The proposed approaches also work for non-separable data by optimizing the . in inferring an STL formula
Ganglion-Cyst
发表于 2025-3-22 10:05:08
Designing and Proving Properties of the Abaco Autoscaler Using TLA+ new design using both the TLC model checker and the TLAPS proof system. We include results of our use of TLC for manually checking safety and liveness properties for some small state spaces, and we provide proofs in TLAPS of all safety properties. To the best of our knowledge, our work is the first
cushion
发表于 2025-3-22 15:45:58
Case Study: Analysis of Autonomous Center Line Tracking Neural Networksness and safety properties of the model. We show the use of these patterns to identify features of the input that explain correct and incorrect behavior. We also use the patterns to provide guarantees of consistent behavior. We explore a novel idea of using sequences of images (instead of single ima
Terrace
发表于 2025-3-22 17:18:03
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Root494
发表于 2025-3-22 21:53:17
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oxidant
发表于 2025-3-23 01:27:37
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In-Situ
发表于 2025-3-23 08:11:25
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