Robustness of Specifications and Its Applications to Falsification, Parameter Mining, and Runtime Monitoring with S-TaLiRo
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Sriram Sankaranarayanan | Georgios Fainekos | Bardh Hoxha | Georgios Fainekos | S. Sankaranarayanan | Bardh Hoxha
[1] Georgios E. Fainekos,et al. Formal Requirement Debugging for Testing and Verification of Cyber-Physical Systems , 2016, ACM Trans. Embed. Comput. Syst..
[2] Gidon Ernst,et al. Two-Layered Falsification of Hybrid Systems Guided by Monte Carlo Tree Search , 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[3] Georgios E. Fainekos,et al. Mining parametric temporal logic properties in model-based design for cyber-physical systems , 2015, International Journal on Software Tools for Technology Transfer.
[4] Georgios E. Fainekos,et al. On-Line Monitoring for Temporal Logic Robustness , 2014, RV.
[5] Florian Leitner-Fischer,et al. Simulink Design Verifier vs. SPIN : a comparative case study , 2008 .
[6] Georgios Fainekos,et al. Gray-box adversarial testing for control systems with machine learning components , 2018, HSCC.
[7] Sriram Sankaranarayanan,et al. Probabilistic Temporal Logic Falsification of Cyber-Physical Systems , 2013, TECS.
[8] Dejan Nickovic,et al. Monitoring Temporal Properties of Continuous Signals , 2004, FORMATS/FTRTFT.
[9] Houssam Abbas,et al. Robustness-guided temporal logic testing and verification for Stochastic Cyber-Physical Systems , 2014, The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent.
[10] Georgios E. Fainekos,et al. VISPEC: A graphical tool for elicitation of MTL requirements , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[11] Georgios Fainekos,et al. Worst-case Satisfaction of STL Specifications Using Feedforward Neural Network Controllers , 2019, ACM Trans. Embed. Comput. Syst..
[12] Ken Butts,et al. Simulation-Based Approaches for Verification of Embedded Control Systems: An Overview of Traditional and Advanced Modeling, Testing, and Verification Techniques , 2016, IEEE Control Systems.
[13] Gidon Ernst,et al. ARCH-COMP18 Category Report: Results on the Falsification Benchmarks , 2018, ARCH@ADHS.
[14] Houssam Abbas,et al. Formal property verification in a conformance testing framework , 2014, 2014 Twelfth ACM/IEEE Conference on Formal Methods and Models for Codesign (MEMOCODE).
[15] Dejan Nickovic,et al. Specification-Based Monitoring of Cyber-Physical Systems: A Survey on Theory, Tools and Applications , 2018, Lectures on Runtime Verification.
[16] Houssam Abbas,et al. Benchmarks for Temporal Logic Requirements for Automotive Systems , 2014, ARCH@CPSWeek.
[17] Sriram Sankaranarayanan,et al. Verification of automotive control applications using S-TaLiRo , 2012, 2012 American Control Conference (ACC).
[18] Houssam Abbas,et al. Safe At Any Speed: A Simulation-Based Test Harness for Autonomous Vehicles , 2017, CyPhy.
[19] Sriram Sankaranarayanan,et al. Experience Report: Application of Falsification Methods on the UxAS System , 2018, NFM.
[20] Sriram Sankaranarayanan,et al. Analyzing Neighborhoods of Falsifying Traces in Cyber-Physical Systems , 2017, 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems (ICCPS).
[21] Ron Koymans,et al. Specifying real-time properties with metric temporal logic , 1990, Real-Time Systems.
[22] Georgios Fainekos,et al. Falsification of Cyber-Physical Systems with Robustness Uncertainty Quantification Through Stochastic optimization with Adaptive Restart , 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).
[23] Sriram Sankaranarayanan,et al. Requirements driven falsification with coverage metrics , 2015, 2015 International Conference on Embedded Software (EMSOFT).
[24] Sriram Sankaranarayanan,et al. Towards a Verified Artificial Pancreas: Challenges and Solutions for Runtime Verification , 2015, RV.
[25] Alberto L. Sangiovanni-Vincentelli,et al. Systematic Testing of Convolutional Neural Networks for Autonomous Driving , 2017, ArXiv.
[26] Sriram Sankaranarayanan,et al. Formal Techniques for Verification and Testing of Cyber-Physical Systems , 2019, Design Automation of Cyber-Physical Systems.
[27] Dejan Nickovic,et al. Parametric Identification of Temporal Properties , 2011, RV.
[28] Yann LeCun,et al. Convolutional networks and applications in vision , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[29] Gidon Ernst,et al. ARCH-COMP 2019 Category Report: Falsification , 2019, ARCH@CPSIoTWeek.
[30] Oded Maler,et al. Robust Satisfaction of Temporal Logic over Real-Valued Signals , 2010, FORMATS.
[31] Mohamed Khalgui,et al. Introduction to the Special Issue on Modeling and Verification of Discrete Event Systems , 2013, TECS.
[32] Laura Moy,et al. Killed by Code: Software Transparency in Implantable Medical Devices , 2010 .
[33] Dejan Nickovic,et al. Interface-aware signal temporal logic , 2019, HSCC.
[34] Sriram Sankaranarayanan,et al. Monte-carlo techniques for falsification of temporal properties of non-linear hybrid systems , 2010, HSCC '10.
[35] George J. Pappas,et al. Robustness of temporal logic specifications for continuous-time signals , 2009, Theor. Comput. Sci..
[36] Georgios Fainekos,et al. Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).
[37] George J. Pappas,et al. Robustness of Temporal Logic Specifications , 2006, FATES/RV.
[38] Alexandre Donzé,et al. Breach, A Toolbox for Verification and Parameter Synthesis of Hybrid Systems , 2010, CAV.
[39] Xin Zhang,et al. End to End Learning for Self-Driving Cars , 2016, ArXiv.
[40] Alberto L. Sangiovanni-Vincentelli,et al. Scenic: a language for scenario specification and scene generation , 2018, PLDI.
[41] Jianye Hao,et al. Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning , 2018, IEEE Transactions on Software Engineering.
[42] Sebastian Fischmeister,et al. A Survey of Electrical and Electronic (E/E) Notifications for Motor Vehicles , 2015 .
[43] Sriram Sankaranarayanan,et al. S-TaLiRo: A Tool for Temporal Logic Falsification for Hybrid Systems , 2011, TACAS.
[44] Georgios Fainekos,et al. Evaluating Perception Systems for Autonomous Vehicles Using Quality Temporal Logic , 2018, RV.
[45] Sriram Sankaranarayanan,et al. Trajectory Tracking Control for Robotic Vehicles Using Counterexample Guided Training of Neural Networks , 2019, ICAPS.