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Daniel Kröning
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- affiliation: Amazon, USA
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2020 – today
- 2024
[j49]Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
Symbolic Task Inference in Deep Reinforcement Learning. J. Artif. Intell. Res. 80: 1099-1137 (2024)- [c189]Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate:
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis. AAAI 2024: 21412-21419 - [i79]Aidan Z. H. Yang, Yoshiki Takashima, Brandon Paulsen, Josiah Dodds, Daniel Kroening:
VERT: Verified Equivalent Rust Transpilation with Few-Shot Learning. CoRR abs/2404.18852 (2024) - [i78]Hasan Ferit Eniser, Hanliang Zhang, Cristina David, Meng Wang, Maria Christakis, Brandon Paulsen, Joey Dodds, Daniel Kroening:
Towards Translating Real-World Code with LLMs: A Study of Translating to Rust. CoRR abs/2405.11514 (2024) - [i77]Mirco Giacobbe, Daniel Kroening, Abhinandan Pal, Michael Tautschnig:
Neural Model Checking. CoRR abs/2410.23790 (2024) - [i76]Hana Chockler, David A. Kelly, Daniel Kroening, Youcheng Sun:
Causal Explanations for Image Classifiers. CoRR abs/2411.08875 (2024) - 2023
- [j48]Hosein Hasanbeig, Daniel Kroening, Alessandro Abate:
Certified reinforcement learning with logic guidance. Artif. Intell. 322: 103949 (2023) - [j47]Alessandro Abate, Haniel Barbosa, Clark W. Barrett
, Cristina David, Pascal Kesseli, Daniel Kroening, Elizabeth Polgreen, Andrew Reynolds, Cesare Tinelli:
Synthesising Programs with Non-trivial Constants. J. Autom. Reason. 67(2): 19 (2023) - [i75]Daniel Kroening, Viktor Malík, Peter Schrammel, Tomás Vojnar:
2LS for Program Analysis. CoRR abs/2302.02380 (2023) - [i74]Romain Brenguier, Lucas C. Cordeiro, Daniel Kroening, Peter Schrammel:
JBMC: A Bounded Model Checking Tool for Java Bytecode. CoRR abs/2302.02381 (2023) - [i73]Daniel Kroening, Peter Schrammel, Michael Tautschnig:
CBMC: The C Bounded Model Checker. CoRR abs/2302.02384 (2023) - [i72]Hana Chockler, David A. Kelly, Daniel Kroening:
Multiple Different Explanations for Image Classifiers. CoRR abs/2309.14309 (2023) - [i71]David A. Kelly, Hana Chockler, Daniel Kroening, Nathan Blake, Aditi Ramaswamy, Melane Navaratnarajah, Aaditya Shivakumar:
You Only Explain Once. CoRR abs/2311.14081 (2023) - [i70]Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate:
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis. CoRR abs/2312.11314 (2023) - 2022
- [j46]Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening:
Enhancing active model learning with equivalence checking using simulation relations. Formal Methods Syst. Des. 61(2): 164-197 (2022) - [c188]Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening:
Active Learning of Abstract System Models from Traces using Model Checking. DATE 2022: 100-103 - [c187]Mohammadhosein Hasanbeig, Daniel Kroening, Alessandro Abate:
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning. QEST 2022: 217-231 - [c186]Mirco Giacobbe, Daniel Kroening, Julian Parsert:
Neural termination analysis. ESEC/SIGSOFT FSE 2022: 633-645 - [i69]Hosein Hasanbeig, Daniel Kroening, Alessandro Abate:
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning. CoRR abs/2209.10341 (2022) - 2021
- [j45]Byron Cook, Kareem Khazem, Daniel Kroening, Serdar Tasiran, Michael Tautschnig, Mark R. Tuttle:
Model checking boot code from AWS data centers. Formal Methods Syst. Des. 57(1): 34-52 (2021) - [j44]Dario Cattaruzza, Alessandro Abate, Peter Schrammel, Daniel Kroening:
Unbounded-Time Safety Verification of Guarded LTI Models with Inputs by Abstract Acceleration. J. Autom. Reason. 65(2): 157-203 (2021) - [c185]Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. AAAI 2021: 7647-7656 - [c184]Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening, Hjalmar Wijk:
Shielding Atari Games with Bounded Prescience. AAMAS 2021: 1507-1509 - [c183]Hana Chockler, Daniel Kroening, Youcheng Sun:
Explanations for Occluded Images. ICCV 2021: 1214-1223 - [c182]Isaac Dunn, Hadrien Pouget, Daniel Kroening, Tom Melham:
Exposing previously undetectable faults in deep neural networks. ISSTA 2021: 56-66 - [c181]Hadrien Pouget, Hana Chockler, Youcheng Sun, Daniel Kroening:
Ranking Policy Decisions. NeurIPS 2021: 8702-8713 - [p10]Daniel Kroening:
Software Verification. Handbook of Satisfiability 2021: 791-818 - [i68]Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening, Hjalmar Wijk:
Shielding Atari Games with Bounded Prescience. CoRR abs/2101.08153 (2021) - [i67]Mirco Giacobbe, Daniel Kroening, Julian Parsert:
Neural Termination Analysis. CoRR abs/2102.03824 (2021) - [i66]Hana Chockler, Daniel Kroening, Youcheng Sun:
Compositional Explanations for Image Classifiers. CoRR abs/2103.03622 (2021) - [i65]Isaac Dunn, Hadrien Pouget, Daniel Kroening, Tom Melham:
Exposing Previously Undetectable Faults in Deep Neural Networks. CoRR abs/2106.00576 (2021) - [i64]Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening:
Active Learning of Abstract System Models from Traces using Model Checking [Extended]. CoRR abs/2112.05990 (2021) - 2020
- [j43]Alessandro Abate, Iury Bessa, Lucas C. Cordeiro, Cristina David, Pascal Kesseli, Daniel Kroening, Elizabeth Polgreen:
Automated formal synthesis of provably safe digital controllers for continuous plants. Acta Informatica 57(1-2): 223-244 (2020) - [j42]Xiaowei Huang, Daniel Kroening, Wenjie Ruan, James Sharp, Youcheng Sun, Emese Thamo, Min Wu, Xinping Yi:
A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability. Comput. Sci. Rev. 37: 100270 (2020) - [j41]Hana Chockler, Pascal Kesseli, Daniel Kroening, Ofer Strichman:
Learning the Language of Software Errors. J. Artif. Intell. Res. 67: 881-903 (2020) - [c180]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Cautious Reinforcement Learning with Logical Constraints. AAMAS 2020: 483-491 - [c179]John Galea, Daniel Kroening:
The Taint Rabbit: Optimizing Generic Taint Analysis with Dynamic Fast Path Generation. AsiaCCS 2020: 622-636 - [c178]Natasha Yogananda Jeppu, Thomas F. Melham, Daniel Kroening, John O'Leary:
Learning Concise Models from Long Execution Traces. DAC 2020: 1-6 - [c177]Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening:
Explaining Image Classifiers Using Statistical Fault Localization. ECCV (28) 2020: 391-406 - [c176]Byron Cook, Björn Döbel, Daniel Kroening, Norbert Manthey, Martin Pohlack, Elizabeth Polgreen, Michael Tautschnig, Pawel Wieczorkiewicz:
Using model checking tools to triage the severity of security bugs in the Xen hypervisor. FMCAD 2020: 185-193 - [c175]Mohammadhosein Hasanbeig, Daniel Kroening, Alessandro Abate:
Deep Reinforcement Learning with Temporal Logics. FORMATS 2020: 1-22 - [i63]Rajdeep Mukherjee, Saurabh Joshi, John O'Leary, Daniel Kroening, Tom Melham:
Hardware/Software Co-verification Using Path-based Symbolic Execution. CoRR abs/2001.01324 (2020) - [i62]Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening, John O'Leary:
Learning Concise Models from Long Execution Traces. CoRR abs/2001.05230 (2020) - [i61]Elizabeth Polgreen, Ralph Abboud, Daniel Kroening:
CounterExample Guided Neural Synthesis. CoRR abs/2001.09245 (2020) - [i60]Isaac Dunn, Tom Melham, Daniel Kroening:
Semantic Adversarial Perturbations using Learnt Representations. CoRR abs/2001.11055 (2020) - [i59]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Cautious Reinforcement Learning with Logical Constraints. CoRR abs/2002.12156 (2020) - [i58]John Galea, Daniel Kroening:
The Taint Rabbit: Optimizing Generic Taint Analysis with Dynamic Fast Path Generation. CoRR abs/2007.05955 (2020) - [i57]Hadrien Pouget, Hana Chockler, Youcheng Sun, Daniel Kroening:
Ranking Policy Decisions. CoRR abs/2008.13607 (2020)
2010 – 2019
- 2019
- [j40]Youcheng Sun, Xiaowei Huang, Daniel Kroening, James Sharp, Matthew Hill, Rob Ashmore:
Structural Test Coverage Criteria for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 18(5s): 94:1-94:23 (2019) - [c174]Mohammadhosein Hasanbeig, Daniel Kroening, Alessandro Abate:
Towards Verifiable and Safe Model-Free Reinforcement Learning. OVERLAY@AI*IA 2019: 1 - [c173]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Logically-Constrained Neural Fitted Q-iteration. AAMAS 2019: 2012-2014 - [c172]Sean Heelan, Tom Melham, Daniel Kroening:
Gollum: Modular and Greybox Exploit Generation for Heap Overflows in Interpreters. CCS 2019: 1689-1706 - [c171]Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J. Pappas, Insup Lee:
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. CDC 2019: 5338-5343 - [c170]Youcheng Sun, Xiaowei Huang, Daniel Kroening, James Sharp, Matthew Hill, Rob Ashmore:
DeepConcolic: testing and debugging deep neural networks. ICSE (Companion Volume) 2019: 111-114 - [c169]Youcheng Sun, Xiaowei Huang, Daniel Kroening, James Sharp, Matthew Hill, Rob Ashmore:
Structural test coverage criteria for deep neural networks. ICSE (Companion Volume) 2019: 320-321 - [c168]Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska:
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance. IJCAI 2019: 5944-5952 - [c167]Lucas C. Cordeiro, Daniel Kroening, Peter Schrammel:
JBMC: Bounded Model Checking for Java Bytecode - (Competition Contribution). TACAS (3) 2019: 219-223 - [i56]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Certified Reinforcement Learning with Logic Guidance. CoRR abs/1902.00778 (2019) - [i55]Isaac Dunn, Tom Melham, Daniel Kroening:
Generating Realistic Unrestricted Adversarial Inputs using Dual-Objective GAN Training. CoRR abs/1905.02463 (2019) - [i54]Andreas Tiemeyer, Tom Melham, Daniel Kroening, John O'Leary:
CREST: Hardware Formal Verification with ANSI-C Reference Specifications. CoRR abs/1908.01324 (2019) - [i53]Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening:
Explaining Deep Neural Networks Using Spectrum-Based Fault Localization. CoRR abs/1908.02374 (2019) - [i52]Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J. Pappas, Insup Lee:
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. CoRR abs/1909.05304 (2019) - [i51]Lim Zun Yuan, Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Modular Deep Reinforcement Learning with Temporal Logic Specifications. CoRR abs/1909.11591 (2019) - [i50]Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. CoRR abs/1911.10244 (2019) - 2018
- [b4]Edmund M. Clarke, Orna Grumberg, Daniel Kroening, Doron A. Peled, Helmut Veith:
Model checking, 2nd Edition. MIT Press 2018, ISBN 978-0-262-03883-6 - [j39]Lucas C. Cordeiro, Daniel Kroening, Peter Schrammel:
Benchmarking of Java Verification Tools at the Software Verification Competition (SV-COMP). ACM SIGSOFT Softw. Eng. Notes 43(4): 56 (2018) - [j38]Lihao Liang, Tom Melham, Daniel Kroening, Peter Schrammel, Michael Tautschnig:
Effective Verification for Low-Level Software with Competing Interrupts. ACM Trans. Embed. Comput. Syst. 17(2): 36:1-36:26 (2018) - [j37]Hong-Yi Chen, Cristina David, Daniel Kroening, Peter Schrammel, Björn Wachter:
Bit-Precise Procedure-Modular Termination Analysis. ACM Trans. Program. Lang. Syst. 40(1): 1:1-1:38 (2018) - [j36]Cristina David, Pascal Kesseli, Daniel Kroening, Matt Lewis:
Program Synthesis for Program Analysis. ACM Trans. Program. Lang. Syst. 40(2): 5:1-5:45 (2018) - [c166]Lucas C. Cordeiro, Pascal Kesseli, Daniel Kroening, Peter Schrammel, Marek Trtík:
JBMC: A Bounded Model Checking Tool for Verifying Java Bytecode. CAV (1) 2018: 183-190 - [c165]Alessandro Abate, Cristina David, Pascal Kesseli, Daniel Kroening, Elizabeth Polgreen:
Counterexample Guided Inductive Synthesis Modulo Theories. CAV (1) 2018: 270-288 - [c164]Byron Cook, Kareem Khazem, Daniel Kroening, Serdar Tasiran, Michael Tautschnig, Mark R. Tuttle:
Model Checking Boot Code from AWS Data Centers. CAV (2) 2018: 467-486 - [c163]Eugene Goldberg, Matthias Güdemann, Daniel Kroening, Rajdeep Mukherjee:
Efficient verification of multi-property designs (The benefit of wrong assumptions). DATE 2018: 43-48 - [c162]Lihao Liang, Paul E. McKenney, Daniel Kroening, Tom Melham:
Verification of tree-based hierarchical read-copy update in the Linux kernel. DATE 2018: 61-66 - [c161]David Landsberg, Youcheng Sun, Daniel Kroening:
Optimising Spectrum Based Fault Localisation for Single Fault Programs Using Specifications. FASE 2018: 246-263 - [c160]Lennon C. Chaves, Iury Bessa, Lucas C. Cordeiro, Daniel Kroening:
DSValidator: An Automated Counterexample Reproducibility Tool for Digital Systems. HSCC 2018: 253-258 - [c159]Youcheng Sun, Min Wu, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska, Daniel Kroening:
Concolic testing for deep neural networks. ASE 2018: 109-119 - [c158]Sean Heelan, Tom Melham, Daniel Kroening:
Automatic Heap Layout Manipulation for Exploitation. USENIX Security Symposium 2018: 763-779 - [p9]Armin Biere, Daniel Kröning:
SAT-Based Model Checking. Handbook of Model Checking 2018: 277-303 - [i49]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Logically-Correct Reinforcement Learning. CoRR abs/1801.08099 (2018) - [i48]Youcheng Sun, Xiaowei Huang, Daniel Kroening:
Testing Deep Neural Networks. CoRR abs/1803.04792 (2018) - [i47]Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska:
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm. CoRR abs/1804.05805 (2018) - [i46]Sean Heelan, Tom Melham, Daniel Kroening:
Automatic Heap Layout Manipulation for Exploitation. CoRR abs/1804.08470 (2018) - [i45]Youcheng Sun, Min Wu, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska, Daniel Kroening:
Concolic Testing for Deep Neural Networks. CoRR abs/1805.00089 (2018) - [i44]John Galea, Sean Heelan, Daniel Neville, Daniel Kroening:
Evaluating Manual Intervention to Address the Challenges of Bug Finding with KLEE. CoRR abs/1805.03450 (2018) - [i43]Lucas C. Cordeiro, Daniel Kroening, Peter Schrammel:
Benchmarking of Java Verification Tools at the Software Verification Competition (SV-COMP). CoRR abs/1809.03739 (2018) - [i42]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Logically-Constrained Neural Fitted Q-Iteration. CoRR abs/1809.07823 (2018) - 2017
- [j35]Peter Schrammel, Daniel Kroening, Martin Brain, Ruben Martins, Tino Teige, Tom Bienmüller:
Incremental bounded model checking for embedded software. Formal Aspects Comput. 29(5): 911-931 (2017) - [j34]Alexander Kaiser, Daniel Kroening, Thomas Wahl:
Lost in abstraction: Monotonicity in multi-threaded programs. Inf. Comput. 252: 30-47 (2017) - [j33]Jade Alglave, Daniel Kroening, Vincent Nimal, Daniel Poetzl:
Don't Sit on the Fence: A Static Analysis Approach to Automatic Fence Insertion. ACM Trans. Program. Lang. Syst. 39(2): 6:1-6:38 (2017) - [j32]Vojtech Forejt, Saurabh Joshi, Daniel Kroening, Ganesh Narayanaswamy, Subodh Sharma:
Precise Predictive Analysis for Discovering Communication Deadlocks in MPI Programs. ACM Trans. Program. Lang. Syst. 39(4): 15:1-15:27 (2017) - [c157]Rajdeep Mukherjee, Peter Schrammel, Leopold Haller, Daniel Kroening, Tom Melham:
Lifting CDCL to Template-Based Abstract Domains for Program Verification. ATVA 2017: 307-326 - [c156]Erika Ábrahám, John Abbott, Bernd Becker, Anna Maria Bigatti, Martin Brain, Alessandro Cimatti, James H. Davenport, Matthew England, Pascal Fontaine, Stephen Forrest, Vijay Ganesh, Alberto Griggio, Daniel Kroening, Werner M. Seiler:
SC-square: when Satisfiability Checking and Symbolic Computation join forces. ARCADE@CADE 2017: 6-10 - [c155]Dario Cattaruzza, Alessandro Abate, Peter Schrammel, Daniel Kroening:
Sound Numerical Computations in Abstract Acceleration. NSV@CAV 2017: 38-60 - [c154]Marcelo Sousa, César Rodríguez, Vijay Victor D'Silva, Daniel Kroening:
Abstract Interpretation with Unfoldings. CAV (2) 2017: 197-216 - [c153]Alessandro Abate, Iury Bessa, Dario Cattaruzza, Lucas C. Cordeiro, Cristina David, Pascal Kesseli, Daniel Kroening, Elizabeth Polgreen:
Automated Formal Synthesis of Digital Controllers for State-Space Physical Plants. CAV (1) 2017: 462-482 - [c152]Rajdeep Mukherjee, Mitra Purandare, Raphael Polig, Daniel Kroening:
Formal Techniques for Effective Co-verification of Hardware/Software Co-designs. DAC 2017: 35:1-35:6 - [c151]Alessandro Abate, Iury Bessa, Dario Cattaruzza, Lucas C. Cordeiro, Cristina David, Pascal Kesseli, Daniel Kroening:
Sound and Automated Synthesis of Digital Stabilizing Controllers for Continuous Plants. HSCC 2017: 197-206 - [c150]Youcheng Sun, Martin Brain, Daniel Kroening, Andrew Hawthorn, Thomas Wilson, Florian Schanda, Francisco Javier Guzman Jimenez, Simon Daniel, Chris Bryan, Ian Broster:
Functional Requirements-Based Automated Testing for Avionics. ICECCS 2017: 170-173 - [c149]Lennon C. Chaves, Iury Bessa, Lucas C. Cordeiro, Daniel Kroening, Eddie Batista de Lima Filho:
Verifying digital systems with MATLAB. ISSTA 2017: 388-391 - [c148]Alessandro Abate, Iury Bessa, Dario Cattaruzza, Lennon C. Chaves, Lucas C. Cordeiro, Cristina David, Pascal Kesseli, Daniel Kroening, Elizabeth Polgreen:
DSSynth: an automated digital controller synthesis tool for physical plants. ASE 2017: 919-924 - [c147]Anna Trostanetski, Orna Grumberg, Daniel Kroening:
Modular Demand-Driven Analysis of Semantic Difference for Program Versions. SAS 2017: 405-427 - [c146]Vijay Victor D'Silva, Daniel Kroening, Marcelo Sousa:
Independence Abstractions and Models of Concurrency. VMCAI 2017: 151-168 - [i41]Lennon C. Chaves, Iury Bessa, Lucas C. Cordeiro, Daniel Kroening, Eddie Batista de Lima Filho:
Verifying Digital Systems with MATLAB. CoRR abs/1702.05591 (2017) - [i40]Marcelo Sousa, César Rodríguez, Vijay Victor D'Silva, Daniel Kroening:
Abstract Interpretation with Unfoldings. CoRR abs/1705.00595 (2017) - [i39]Alessandro Abate, Iury Bessa, Dario Cattaruzza, Lucas C. Cordeiro, Cristina David, Pascal Kesseli, Daniel Kroening, Elizabeth Polgreen:
Automated Formal Synthesis of Digital Controllers for State-Space Physical Plants. CoRR abs/1705.00981 (2017) - [i38]Youcheng Sun, Martin Brain, Daniel Kroening, Andrew Hawthorn, Thomas Wilson, Florian Schanda, Francisco Javier Guzman Jimenez, Simon Daniel, Chris Bryan, Ian Broster:
Functional Requirements-Based Automated Testing for Avionics. CoRR abs/1707.01466 (2017) - [i37]Rajdeep Mukherjee, Peter Schrammel, Leopold Haller, Daniel Kroening, Tom Melham:
Lifting CDCL to Template-based Abstract Domains for Program Verification. CoRR abs/1707.02011 (2017) - [i36]Eugene Goldberg, Matthias Güdemann, Daniel Kroening, Rajdeep Mukherjee:
Efficient Verification of Multi-Property Designs (The Benefit of Wrong Assumptions) (Extended Version). CoRR abs/1711.05698 (2017) - [i35]Cristina David, Pascal Kesseli, Daniel Kroening:
Kayak: Safe Semantic Refactoring to Java Streams. CoRR abs/1712.07388 (2017) - 2016
- [b3]Daniel Kroening, Ofer Strichman:
Decision Procedures - An Algorithmic Point of View, Second Edition. Texts in Theoretical Computer Science. An EATCS Series, Springer 2016, ISBN 978-3-662-50496-3, pp. 1-307 - [j31]Erika Ábrahám, John Abbott, Bernd Becker, Anna Maria Bigatti, Martin Brain, Bruno Buchberger, Alessandro Cimatti, James H. Davenport, Matthew England, Pascal Fontaine, Stephen Forrest, Alberto Griggio, Daniel Kroening, Werner M. Seiler, Thomas Sturm:
Satisfiability checking and symbolic computation. ACM Commun. Comput. Algebra 50(4): 145-147 (2016) - [j30]Daniel Kroening, Andrey Rybalchenko:
Preface: Special Issue on Interpolation. J. Autom. Reason. 57(1): 1-2 (2016) - [j29]Peter Schrammel, Tom Melham, Daniel Kroening:
Generating test case chains for reactive systems. Int. J. Softw. Tools Technol. Transf. 18(3): 319-334 (2016) - [c145]Rajdeep Mukherjee, Peter Schrammel, Daniel Kroening, Tom Melham:
Unbounded safety verification for hardware using software analyzers. DATE 2016: 1152-1155 - [c144]Cristina David, Pascal Kesseli, Daniel Kroening, Matt Lewis:
Danger Invariants. FM 2016: 182-198 - [c143]