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Titlebook: Runtime Verification; 16th International C Yliès Falcone,César Sánchez Conference proceedings 2016 Springer International Publishing AG 201

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Input Attribution for Statistical Model Checking Using Logistic Regressionousands of trials in a few hours. We demonstrate our approach on examples involving robotic agents interacting in a simulated physical environment. Our approach synthesizes input attributions that are both meaningful to the investigator and have predictive value on the predicate outcomes.
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Third International Competition on Runtime Verificationnces with transforming trace formats from other tools into the standard format required by the competition and report on feedback gathered from current and past participants and use this to make suggestions for the future of the competition.
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Runtime Verification at Work: A Tutorialanalyzing the same execution trace. . is a runtime monitoring tool that checks and enforces safety and security properties during program execution. Our tools focus on reporting no false positives and are free for non-commercial use.
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Quantitative Monitoring of STL with Edit Distance and time mismatches between digitized CPS behaviors. We then develop a dynamic programming algorithm for computing the robustness degree between digitized signals and STL specifications. We implemented our approach and evaluated it on an automotive case study.
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, – A Notation and System for Inferring Event Stream Abstractionsthe specification language implemented as an internal DSL. It is based on parallel executing actors communicating via a publish-subscribe model. We illustrate the solution with several examples, including a real telemetry analysis scenario.
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When RV Meets CEPproblems, popular tools and their query languages. It then presents BeepBeep 3, an event stream processor that attempts to bridge the gap between RV and CEP. Thanks to BeepBeep’s generic architecture and flexible input language, queries and properties from both fields can be efficiently processed.
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