声明 发表于 2025-3-23 09:47:25
Thomas Walker,Jane McGaughey,Sherif Goubran,Nadra Wagdy of the ZooKeeper implementation. The formal specifications help eliminate the ambiguities in the protocol design and provide comprehensive system documentation. They also help find critical deep bugs in system implementation, which are beyond the reach of state-of-the-art testing techniques. Our sp吼叫 发表于 2025-3-23 16:00:54
http://reply.papertrans.cn/47/4672/467184/467184_12.pngobnoxious 发表于 2025-3-23 19:58:14
Anne Snicks formal correct guarantees expressed using violation probabilities and confidences. The scenario optimization problem is reduced to a linear program in our framework, which is constructed by a family of independent and identically distributed samples of variables in the given two Boolean formulas.STRIA 发表于 2025-3-24 00:38:01
http://reply.papertrans.cn/47/4672/467184/467184_14.pngModicum 发表于 2025-3-24 04:07:54
http://reply.papertrans.cn/47/4672/467184/467184_15.pngABIDE 发表于 2025-3-24 09:18:39
http://reply.papertrans.cn/47/4672/467184/467184_16.pngGORGE 发表于 2025-3-24 14:14:54
http://reply.papertrans.cn/47/4672/467184/467184_17.png小臼 发表于 2025-3-24 18:03:18
Jason Prince,Vanessa Sorin improve the complexity of computing the bisimulation from the previously known EXPTIME to PTIME. Moreover, we show that the bisimulation for IMDPs is a congruence with respect to two facets of parallelism, namely synchronous product and interleaving. We finally demonstrate the practical effectivene剧本 发表于 2025-3-24 19:01:29
Lars Boggild improve the complexity of computing the bisimulation from the previously known EXPTIME to PTIME. Moreover, we show that the bisimulation for IMDPs is a congruence with respect to two facets of parallelism, namely synchronous product and interleaving. We finally demonstrate the practical effectivene乏味 发表于 2025-3-25 00:23:03
Dave Gorman,Julia Qermezi Huang learning-based vulnerability detector, called AIdetectorX. We conduct experiments on publicly available and widely used datasets for evaluating the effectiveness of AIdetectorX. Evaluation results suggest that AIdetectorX is effective for vulnerability detection and that combining TCN and self-atte