www.prismmodelchecker.org

PRISM Publications

The following is a list of all PRISM-related papers authored or co-authored by members of the PRISM team.

See also the lists of selected PRISM papers, the full PRISM bibliography and external PRISM papers.

239 publications:

Underlying techniques in PRISM (66)

Extensions and adaptions to PRISM (49)

  • [EPF24] Ingy Elsayed-Aly, David Parker and Lu Feng. Distributional Probabilistic Model Checking. In Proc. 16th NASA Formal Methods Symposium (NFM'24), Springer. To appear. June 2024. [pdf] [bib] [Proposes a probabilistic model checking framework for distributional queries, implemented as an extension of PRISM.]
  • [SPF24] Shili Sheng, David Parker and Lu Feng. Safe POMDP Online Planning via Shielding. In Proc. IEEE International Conference on Robotics and Automation (ICRA'24). To appear. May 2024. [pdf] [bib] [Presents techniques to augment POMDP online planning with shielding to ensure safety, implemented as an extension of PRISM.]
  • [Bac22] Edoardo Bacci. Formal Verification of Deep Reinforcement Learning Agents. Ph.D. thesis, School of Computer Science, University of Birmingham. 2022. [pdf] [bib] [Proposes several techniques for verification of deep reinforcement learning policies, with implementations building upon PRISM. ]
  • [YSD+22] Rui Yan, Gabriel Santos, Xiaoming Duan, David Parker and Marta Kwiatkowska. Finite-horizon Equilibria for Neuro-symbolic Concurrent Stochastic Games. In Proc. 38th Conference on Uncertainty in Artificial Intelligence (UAI'22), Proceedings of Machine Learning Research 180. August 2022. [pdf] [bib] [Develops methods for finite-horizon analysis of neuro-symbolic concurrent stochastic games, implemented on top of PRISM-games.]
  • [CBPF22] Shenghui Chen, Kayla Boggess, David Parker and Lu Feng. Multi-Objective Controller Synthesis with Uncertain Human Preferences. In Proc. ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS'22), pages 170-180, IEEE. May 2022. [pdf] [bib] [Develops techniques for multi-objective MDP controller synthesis over uncertain preferences, implemented in an extension of PRISM.]
  • [BAJ+22] Thom S. Badings, Alessandro Abate, Nils Jansen, David Parker, Hasan A. Poonawala and Marielle Stoelinga. Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise. In Proc. 36th AAAI Conference on Artificial Intelligence (AAAI'22), pages 9669-9678. Distinguished Paper Award. March 2022. [pdf] [bib] [Presents methods to synthesise controllers, with probabilistic guarantees obtained using an extension of PRISM for IMDPs.]
  • [LFPH19] Bruno Lacerda, Fatma Faruq, David Parker and Nick Hawes. Probabilistic Planning with Formal Performance Guarantees for Mobile Service Robots. International Journal of Robotics Research, 38(9), pages 1098–1123. 2019. [pdf] [bib] [Presents a framework for mobile service robot with formal performance guarantees, with an implementation built on PRISM.]
  • [ELK19] Francisco Eiras, Morteza Lahijanian and Marta Kwiatkowska. Correct-by-Construction Advanced Driver Assistance Systems Based on a Cognitive Architecture. In Proc. IEEE 2nd Connected and Automated Vehicles Symposium (CAVS'19), pages 1-7, IEEE. 2019. [pdf] [bib] [Formally analyses a driver assistance system and a human driver model, with an implementation building on PRISM.]
  • [EP19] Alexandros Evangelidis and David Parker. Quantitative Verification of Numerical Stability for Kalman Filters. In Proc. 23rd International Symposium on Formal Methods (FM'19), volume 11800 of LNCS, pages 425-441, Springer. October 2019. [pdf] [bib] [Builds a framework for verifying Kalman filters on top of PRISM.]
  • [NP19] Chris Novakovic and David Parker. Automated Formal Analysis of Side-Channel Attacks on Probabilistic Systems. In Proc. 24th European Symposium on Research in Computer Security (ESORICS'19), volume 11735 of LNCS, pages 319-337, Springer. September 2019. [pdf] [bib] [Develops techniques to identify side-channel attacks in probabilistic systems, building on PRISM-pomdps.]
  • [PFF+19] Avi Pfeffer, Curt Wu, Gerald Fry, Kenny Lu, Steve Marotta, Mike Reposa, Yuan Shi, T. K. Satish Kumar, Craig A. Knoblock, David Parker, Irfan Muhammad and Chris Novakovic. Software Adaptation for an Unmanned Undersea Vehicle. IEEE Software, 36(2), pages 91-96, IEEE. March 2019. [pdf] [bib] [Summarises the PRINCESS project, which develops methods for adapting an optimising software at runtime, including mission verification using extensions of PRISM.]
  • [FLHP18] Fatma Faruq, Bruno Lacerda, Nick Hawes and David Parker. Simultaneous Task Allocation and Planning Under Uncertainty. In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'18), IEEE. October 2018. [pdf] [bib] [Proposes techniques for verified multi-robot task allocation and planning, implemented as an extension of PRISM.]
  • [Kam18] Nishanthan Kamaleson. Model Reduction Techniques for Probabilistic Verification of Markov Chains. Ph.D. thesis, University of Birmingham. April 2018. [pdf] [bib] [Develops several model reduction techniques, for finite-horizon bisimulation and linear inductive models, and implements them in extensions of PRISM.]
  • [MDPR18] Chunyan Mu, Peter Dittrich, David Parker and Jonathan E. Rowe. Organisation-Oriented Coarse Graining and Refinement of Stochastic Reaction Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(4), pages 1152-1166. February 2018. [pdf] [bib] [Presents techniques for analysing chemical reaction networks, based on chemical organisation theory, and implemented as an extension of PRISM.]
  • [CCGKP17] Radu Calinescu, Milan Češka, Simos Gerasimou, Marta Kwiatkowska and Nicola Paoletti. Designing Robust Software Systems through Parametric Markov Chain Synthesis. In Proc. IEEE International Conference on Software Architecture (ICSA'17), pages 131-140, IEEE Computer Society. 2017. [pdf] [bib] [Synthesises software system designs with a toolchain building on the PRISM extension PRISM-PSY.]
  • [LPH17] Bruno Lacerda, David Parker and Nick Hawes. Multi-objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees. In Proc. 27th International Conference on Automated Planning and Scheduling (ICAPS'17), pages 504-512, AAAI Press. June 2017. [pdf] [bib] [Proposes techniques for generating mobile robot controllers with probabilistic time-bounded guarantees using multi-objective probabilistic model checking and an extension of PRISM.]
  • [NPZ17] Gethin Norman, David Parker and Xueyi Zou. Verification and Control of Partially Observable Probabilistic Systems. Real-Time Systems, 53(3), pages 354-402, Springer. April 2017. [pdf] [bib] [Presents techniques and a tool for verification and strategy synthesis in partially observable probabilistic models with both discrete and dense models of time.]
  • [BBBK16] Benoit Barbot, Nicolas Basset, Marc Beunardeau and Marta Kwiatkowska. Uniform Sampling for Timed Automata with Application to Language Inclusion Measurement. In Proc. 13th International Conference on Quantitative Evaluation of SysTems (QEST 2016), volume 9826 of LNCS, pages 175-190, Springer. 2016. [pdf] [bib] [Develops Monte Carlo model checking techniques for timed automata using PRISM, SageMath and COSMOS.]
  • [MDPR16] Chunyan Mu, Peter Dittrich, David Parker and Jonathan E. Rowe. Formal Quantitative Analysis of Reaction Networks Using Chemical Organisation Theory. In Proc. 14th International Conference on Computational Methods in Systems Biology (CMSB'16), volume 9859 of LNCS, pages 232-251, Springer. September 2016. [pdf] [bib] [Develops techniques for analysing reaction networks using chemical organisation theory, implemented in an extension of PRISM.]
  • [CPPBK16] Milan Ceska, Petr Pilar, Nicola Paoletti, Lubos Brim and Marta Kwiatkowska. PRISM-PSY: Precise GPU-Accelerated Parameter Synthesis for Stochastic Systems. In Proc. 22nd International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'16), volume 9636 of LNCS, pages 367–384, Springer. April 2016. [pdf] [bib] [Introduces an extension of PRISM in the form of GPU-accelerated tool for parameter synthesis of stochastic systems. ]
  • [NPZ15] Gethin Norman, David Parker and Xueyi Zou. Verification and Control of Partially Observable Probabilistic Real-Time Systems. In Proc. 13th International Conference on Formal Modelling and Analysis of Timed Systems (FORMATS'15), volume 9268 of LNCS, pages 240-255, Springer. September 2015. [pdf] [bib] [Develops techniques for verification and controller synthesis on a partially observable variant of probabilistic timed automata, implemented in an extension of PRISM.]
  • [LPH14b] Bruno Lacerda, David Parker and Nick Hawes. Optimal and Dynamic Planning for Markov Decision Processes with Co-Safe LTL Specifications. In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'14), pages 1511-1516, IEEE. September 2014. [pdf] [bib] [Proposes a dynamic planning approach for co-safe LTL, implements it in an extension of PRISM and deploys it on a mobile service robot.]
  • [Gir14] Sergio Giro. Optimal Schedulers vs Optimal Bases: An approach for efficient exact solving of Markov decision processes. Theoretical Computer Science, 538, pages 70–83, Elsevier. June 2014. [pdf] [bib] [Investigates exact-arithmetic model checking methods for MDPs, implemented in an extension of PRISM.]
  • [DKPQ14] Klaus Draeger, Marta Kwiatkowska, David Parker and Hongyang Qu. Local Abstraction Refinement for Probabilistic Timed Programs. Theoretical Computer Science, 538, pages 37-53, Elsevier. June 2014. [pdf] [bib] [Presents new techniques for abstraction refinement on probabilistic timed programs (probabilistic timed automata with data variables), implemented in an extension of PRISM.]
  • [AKNP14] Alessandro Abate, Marta Kwiatkowska, Gethin Norman and David Parker. Probabilistic Model Checking of Labelled Markov Processes via Finite Approximate Bisimulations. In F. van Breugel, E. Kashefi, C. Palamidessi and J. Rutten (editors), Horizons of the Mind. A Tribute to Prakash Panangaden, volume 8464 of LNCS, pages 40-58, Springer. May 2014. [pdf] [bib] [Performs probabilistic model checking on continuous-state models using a finite-state abstraction which is then passed to PRISM.]
  • [DFK+14] Klaus Draeger, Vojtěch Forejt, Marta Kwiatkowska, David Parker and Mateusz Ujma. Permissive Controller Synthesis for Probabilistic Systems. In Proc. 20th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'14), volume 8413 of LNCS, pages 531-546, Springer. April 2014. [pdf] [bib] [Presents permissive controller synthesis techniques for stochastic games, implemented in an extension of PRISM.]
  • [KPQU14] Marta Kwiatkowska, David Parker, Hongyang Qu and Mateusz Ujma. On Incremental Quantitative Verification for Probabilistic Systems. In Andrei Voronkov and Margarita Korovina (editors), HOWARD-60: A Festschrift on the Occasion of Howard Barringer's 60th Birthday, pages 245-257, Easychair. February 2014. [pdf] [bib] http://www.easychair.org/publications/?page=195264436 [Describes incremental methods for runtime probabilistic model checking, implemented in an extension of PRISM.]
  • [Fen13] Lu Feng. On Learning Assumptions for Compositional Verification of Probabilistic Systems. Ph.D. thesis, University of Oxford. October 2013. [pdf] [bib] [Develops several assume-guarantee techniques for compositional probabilistic verification using automatic generation of assumptions. Implements the techniques using various extensions of PRISM.]
  • [CHH+13] Taolue Chen, Ernst Moritz Hahn, Tingting Han, Marta Kwiatkowska, Hongyang Qu and Lijun Zhang. Model Repair for Markov Decision Processes. In Proc. 7th International Symposium on Theoretical Aspects of Software Engineering (TASE'13), pages 85--92, IEEE. July 2013. [pdf] [bib] [Proposes approximate solution methods for the problem of model repair on Markov decision processes, implemented as an extension of PRISM.]
  • [GR12] Sergio Giro and Markus Rabe. Verification of Partial-Information Probabilistic Systems using Counterexample-Guided Refinements. In Proc. 10th International Symposium on Automated Technology for Verification and Analysis (ATVA'12), volume 7561 of LNCS, pages 333-348, Springer. October 2012. [pdf] [bib] [Describes new techniques for model checking MDPs under partial-information schedulers, implemented in an extension of PRISM.]
  • [FKP+12] Vojtěch Forejt, Marta Kwiatkowska, David Parker, Hongyang Qu and Mateusz Ujma. Incremental Runtime Verification of Probabilistic Systems. In Proc. 3rd International Conference on Runtime Verification (RV'12), volume 7686 of LNCS, pages 314-319, Springer. September 2012. [pdf] [bib] [Proposes incremental methods for runtime probabilistic model checking, implemented in an extension of PRISM.]
  • [Gir12] Sergio Giro. Efficient Computation of Exact Solutions for Quantitative Model Checking. In Proc. 10th Workshop on Quantitative Aspects of Programming Languages (QAPL'12), volume 85 of EPTCS, pages 17-32. March 2012. [pdf] [bib] [Investigates exact-arithmetic model checking methods for MDPs, implemented in an extension of PRISM.]
  • [HKQ11] Henri Hansen, Marta Kwiatkowska and Hongyang Qu. Partial Order Reduction for Model Checking Markov Decision Processes under Unconditional Fairness. In Proc. 8th International Conference on Quantitative Evaluation of SysTems (QEST'11), pages 203-212, IEEE CS Press. September 2011. [pdf] [bib] [Presents partial-order reduction methods for MDPs, implemented in an extension of PRISM.]
  • [KPQ11] Marta Kwiatkowska, David Parker and Hongyang Qu. Incremental Quantitative Verification for Markov Decision Processes. In Proc. IEEE/IFIP International Conference on Dependable Systems and Networks (DSN-PDS'11), pages 359-370, IEEE CS Press. June 2011. [pdf] [bib] [Presents incremental verification techniques for MDPs, implemented as an extension of PRISM.]
  • [FKP11] Lu Feng, Marta Kwiatkowska and David Parker. Automated Learning of Probabilistic Assumptions for Compositional Reasoning. In Proc. 14th International Conference on Fundamental Approaches to Software Engineering (FASE'11), volume 6603 of LNCS, pages 2-17, Springer. Invited paper. March 2011. [pdf] [bib] [Presents a learning-based compositional verification framework, based on an extension of PRISM.]
  • [FKN+11] Vojtěch Forejt, Marta Kwiatkowska, Gethin Norman, David Parker and Hongyang Qu. Quantitative Multi-Objective Verification for Probabilistic Systems. In Proc. 17th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'11), volume 6605 of LNCS, pages 112-127, Springer. March 2011. [pdf] [bib] [Presents multi-objective and assume-guarantee verification techniques for probabilistic automata, implemented as an extension of PRISM.]
  • [Kat11] Mark Kattenbelt. Automated Quantitative Software Verification. Ph.D. thesis, Oxford University. March 2011. [pdf] [bib] [Thesis on quantitative verification for software, including probabilistic abstraction-refinement methods that use components from GOTO-CC, SATABS and PRISM.]
  • [FKP10] Lu Feng, Marta Kwiatkowska and David Parker. Compositional Verification of Probabilistic Systems using Learning. In Proc. 7th International Conference on Quantitative Evaluation of Systems (QEST'10), pages 133-142, IEEE CS Press. September 2010. [pdf] [bib] [Presents a learning-based compositional verification framework, based on an extension of PRISM.]
  • [KNPQ10] Marta Kwiatkowska, Gethin Norman, David Parker and Hongyang Qu. Assume-Guarantee Verification for Probabilistic Systems. In Proc. 16th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'10), volume 6015 of LNCS, pages 23-37, Springer. March 2010. [pdf] [bib] [Presents assume-guarantee verification techniques for probabilistic automata, implemented as an extension of PRISM.]
  • [Mai09] V. Maisonneuve. Automatic heuristic-based generation of MTBDD variable orderings for PRISM models. Internship report, ENS Cachan & Oxford University Computing Laboratory. July 2009. [pdf] [bib] [Develops MTBDD variable ordering heuristics, implemented in an extension of PRISM.]
  • [Kwi09] M. Kwiatkowska. On Quantitative Software Verification. In C. Pasareanu (editor), Proc. 16th International SPIN Workshop, volume 5578 of LNCS, pages 2-3, Springer. Invited contribution. June 2009. [pdf] [bib] [Describes verification techniques for probabilistic C programs, using components from GOTO-CC, SATABS and PRISM.]
  • [CK09a] V. Issarny, B. Steffen, B. Jonsson, G. Blair, P. Grace, M. Kwiatkowska, R. Calinescu, P. Inverardi, M. Tivoli, A. Bertolino and A. Sabetta. CONNECT Challenges: Towards Emergent Connectors for Eternal Networked Systems. In Proc. 14th IEEE International Conference on Engineering of Complex Computer Systems. Poster. June 2009. [pdf] [bib] [Provides an overview of the CONNECT project, which incorporates extensions of PRISM.]
  • [KKNP09] Mark Kattenbelt, Marta Kwiatkowska, Gethin Norman and David Parker. Abstraction Refinement for Probabilistic Software. In Proc. 10th International Conference on Verification, Model Checking, and Abstract Interpretation (VMCAI'09), volume 5403 of Lecture Notes in Computer Science, pages 182-197, Springer. January 2009. [ps.gz] [pdf] [bib] [Develops verification techniques for probabilistic C programs, using components from GOTO-CC, SATABS and PRISM.]
  • [RPNdA08] Pritam Roy, David Parker, Gethin Norman and Luca de Alfaro. Symbolic Magnifying Lens Abstraction in Markov Decision Processes. In Proc. 5th International Conference on Quantitative Evaluation of Systems (QEST'08), pages 103-112, IEEE CS Press. September 2008. [pdf] [bib] [Presents a symbolic version of magnifying lens abstraction, implemented as an extension of PRISM.]
  • [KKNP08a] Mark Kattenbelt, Marta Kwiatkowska, Gethin Norman and David Parker. Game-Based Probabilistic Predicate Abstraction in PRISM. In Proc. 6th Workshop on Quantitative Aspects of Programming Languages (QAPL'08), volume 220 (3) of Electronic Notes in Theoretical Computer Science , pages 5-21 , Elsevier. March 2008. [ps.gz] [pdf] [bib] [Develops predicate abstraction techniques for PRISM, using SMT and game-based abstraction.]
  • [WK05] F. Wang and M. Kwiatkowska. An MTBDD-based implementation of forward reachability for probabilistic timed automata. In Proc. 3rd International Symposium on Automated Technology for Verification and Analysis (ATVA'05), volume 3707 of Lecture Notes in Computer Science, pages 385-399, Springer. October 2005. [ps.gz] [pdf] [bib]
  • [ZPK05b] Yi Zhang, David Parker and Marta Kwiatkowska. Grid-enabled Probabilistic Model Checking with PRISM. In Proc. 4th All Hands Meeting Workshop (AHM'05). September 2005. [ps.gz] [pdf] [bib]
  • [KPZM04] Marta Kwiatkowska, David Parker, Yi Zhang and Rashid Mehmood. Dual-Processor Parallelisation of Symbolic Probabilistic Model Checking. In Proc. 12th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS'04), pages 123-130, IEEE CS Press. October 2004. [ps.gz] [pdf] [bib]
  • [Meh04a] R. Mehmood. Serial Disk-based Analysis of Large Stochastic Models. In C. Baier, B. Haverkort, H. Hermanns, J-P. Katoen, M. Siegle and F. Vaandrager (editors), Validation of Stochastic Systems: A Guide to Current Research, volume 2925 of Lecture Notes in Computer Science, Springer-Verlag. August 2004. [ps.gz] [pdf] [bib]

Tool/language connections to PRISM (23)

  • [BRA+23] Thom Badings, Licio Romao, Alessandro Abate, David Parker, Hasan A. Poonawala, Marielle Stoelinga and Nils Jansen. Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions. Journal of Artificial Intelligence Research, 76, pages 341-391. January 2023. [pdf] [bib] [Presents methods to synthesise controllers, with probabilistic guarantees obtained using an extension of PRISM for IMDPs.]
  • [Far22] Fatma Faruq. Verified Multi-Robot Planning Under Uncertainty. Ph.D. thesis, School of Computer Science, University of Birmingham. 2022. [pdf] [bib] [Develops various methods for synthesising verified multi-robot policies, with an implementation built on top of PRISM. ]
  • [SSJP22] Marnix Suilen, Thiago D. Simão, Nils Jansen and David Parker. Robust Anytime Learning of Markov Decision Processes. In Proc. 36th Annual Conference on Neural Information Processing Systems (NeurIPS'22). November 2022. [pdf] [bib] [Proposes a robust, anytime approach to learning MDPs, with an implementation building on PRISM's support for IMDPs.]
  • [SPH+22] Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, David Parker and Lu Feng. Planning for Automated Vehicles with Human Trust. ACM Transactions on Cyber-Physical Systems, 6(4), pages 31:1-31:21. September 2022. [pdf] [bib] [Proposes a trust-based route planning approach for automated vehicles, with an implementation that builds upon PRISM's support for POMDPs.]
  • [BP22] Edoardo Bacci and David Parker. Verified Probabilistic Policies for Deep Reinforcement Learning. In Proc. 14th International Symposium NASA Formal Methods (NFM'22), volume 13260 of LNCS, pages 193-212, Springer. May 2022. [pdf] [bib] [Presents techniques to produce formal guarantees on the safe execution of probabilistic policies for deep reinforcement learning, building on PRISM's model checking engines.]
  • [EP21] Alexandros Evangelidis and David Parker. Quantitative Verification of Kalman Filters. Formal Aspects of Computing, 33(4-5), pages 669-693, Springer. February 2021. [pdf] [bib] [Builds a framework for quantitative verification of Kalman filters on top of PRISM. ]
  • [BP20b] Edoardo Bacci and David Parker. Probabilistic Guarantees for Safe Deep Reinforcement Learning. In Proc. 18th International Conference on Formal Modelling and Analysis of Timed Systems (FORMATS'20), volume 12288 of LNCS, pages 231-248, Springer. September 2020. [pdf] [bib] [Proposes techniques for probabilistic verification of deep reinforcement learning policies, using PRISM as an underlying model checker.]
  • [Eva20] Alexandros Evangelidis. Verified Control and Estimation for Cloud Computing. Ph.D. thesis, School of Computer Science, University of Birmingham. June 2020. [pdf] [bib] [Proposes techniques and tools for formal analysis of resource control and estimation mechanisms in cloud computing, building on probabilistic model checking and PRISM.]
  • [LSM+18b] Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit and Marta Kwiatkowska. Resource-Performance Trade-off Analysis for Mobile Robots. IEEE Robotics and Automation Letters, 3(3), pages 1840-1847. 2018. [pdf] [bib] [Proposes a framework for analysing resource-performance trade-offs in mobile robotics, using PRISM as an underlying model checker.]
  • [ANP16] Zaruhi Aslanyan, Flemming Nielson and David Parker. Quantitative Verification and Synthesis of Attack-Defence Scenarios. In Proc. 29th IEEE Computer Security Foundations Symposium (CSF'16), pages 105-119, IEEE. June 2016. [pdf] [bib] [Proposes formal verification techniques for attack-defence scenarios based on model checking of stochastic games and building on the PRISM-games tool.]
  • [DKP13] Christian Dehnert, Joost-Pieter Katoen and David Parker. SMT-Based Bisimulation Minimisation of Markov Models. In Proc. 14th International Conference on Verification, Model Checking and Abstract Interpretation (VMCAI'13), volume 7737 of LNCS, pages 28-47, Springer. January 2013. [pdf] [bib] [Presents new SMT-based bisimulation techniques for Markov chains expressed in the PRISM modelling language.]
  • [CGKM12] Radu Calinescu, Carlo Ghezzi, Marta Kwiatkowska and Raffaela Mirandola. Self-adaptive Software Needs Quantitative Verification at Runtime. Communications of the ACM, 55(9), pages 69-77, ACM. September 2012. [pdf] [bib] [Describes a framework for quantitative runtime verification that incorporates PRISM.]
  • [FHKP11] Lu Feng, Tingting Han, Marta Kwiatkowska and David Parker. Learning-based Compositional Verification for Synchronous Probabilistic Systems. In Proc. 9th International Symposium on Automated Technology for Verification and Analysis (ATVA'11), volume 6996 of LNCS, pages 511-521, Springer. October 2011. [pdf] [bib] [Presents a learning-based compositional verification framework which uses PRISM for executing individual queries.]
  • [CGKMT11] Radu Calinescu, Lars Grunske, Marta Kwiatkowska, Raffaela Mirandola and Giordano Tamburrelli. Dynamic QoS Management and Optimisation in Service-Based Systems. IEEE Transactions on Software Engineering, 37(3), pages 387-409. May 2011. [bib] [Presents a framework for developing adaptive service-based systems, using PRISM to compute QoS properties.]
  • [CK10] Radu Calinescu and Marta Kwiatkowska. Software Engineering Techniques for the Development of Systems of Systems. In Christine Choppy and Oleg Sokolsky (editors), Proc. 15th Monterey Workshop on Foundations of Computer Software. Future Trends and Techniques for Development (Monterey'08), volume 6028 of LNCS, pages 59-82, Springer. September 2010. [pdf] [bib] http://www.springerlink.com/content/6334127431456134/ [Presents a framework for system-of-systems development, incorporating PRISM.]
  • [DMP09] Alastair Donaldson, Alice Miller and David Parker. Language-level Symmetry Reduction for Probabilistic Model Checking. In Proc. 6th International Conference on Quantitative Evaluation of Systems (QEST'09), pages 289-298, IEEE Computer Society. September 2009. [pdf] [bib] [Presents symmetry reduction techniques based on translation of PRISM models.]
  • [CK09] R. Calinescu and M. Kwiatkowska. Using Quantitative Analysis to Implement Autonomic IT Systems. In Proc. 31st International Conference on Software Engineering (ICSE'09), pages 100-110, IEEE Press. May 2009. [pdf] [bib] [Presents an autonomic software framework, incorporating quantitative analysis of system models using PRISM.]
  • [NPPW09] Gethin Norman, Catuscia Palamidessi, David Parker and Peng Wu. Model Checking Probabilistic and Stochastic Extensions of the Pi-Calculus. IEEE Transactions on Software Engineering, 35(2), pages 209-223, IEEE Computer Society. March 2009. [pdf] [bib] [Presents model checking techniques for the probabilistic/stochastic pi-calculus based on a translation to PRISM.]
  • [CK09b] R. Calinescu and M. Kwiatkowska. CADS*: Computer-Aided Development of Self-* Systems. In Marsha Chechik and Martin Wirsing (editors), Fundamental Approaches to Software Engineering (FASE 2009), volume 5503 of Lecture Notes in Computer Science, pages 421-424, Springer-Verlag. March 2009. [pdf] [bib] [Presents a tool for developing self-* systems, based on Markov chain analysis using PRISM.]
  • [CBGP08] Frank Ciesinski, Christel Baier, Marcus Groesser and David Parker. Generating Compact MTBDD-Representations from Probmela Specifications. In Proc. 15th International SPIN Workshop on Model Checking of Software (SPIN'08), volume 5156 of Lecture Notes in Computer Science, pages 60-76, Springer. August 2008. [pdf] [bib] [Presents techniques for efficient translation of Probmela models into the PRISM modelling language.]
  • [DMP07] Alastair Donaldson, Alice Miller and David Parker. GRIP: Generic Representatives in PRISM. In Proc. 4th International Conference on Quantitative Evaluation of Systems (QEST'07), pages 115-116, IEEE CS Press. September 2007. [ps.gz] [pdf] [bib] [Presents GRIP, a symmetry reduction tool for PRISM models.]
  • [NPPW07] Gethin Norman, Catuscia Palamidessi, David Parker and Peng Wu. Model Checking the Probabilistic Pi-calculus. In Proc. 4th International Conference on Quantitative Evaluation of Systems (QEST'07), pages 169-178, IEEE CS Press. September 2007. [ps.gz] [pdf] [bib] [Presents model checking techniques for the probabilistic pi-calculus based on a translation to PRISM.]
  • [FMM07] A. Fehnker, M. Fruth and A. McIver. Graphical modelling for simulation and formal analysis of wireless network protocols. In Proc. Workshop on Methods, Models and Tools for Fault-Tolerance (MeMoT'07) at the 7th International Conference on Integrated Formal Methods (IFM'07), pages 80-87. Technical Report CS-TR-1032, University of Newcastle upon Tyne. July 2007. [pdf] [bib]

Case studies using PRISM (55)

PRISM tool papers (9)

PRISM-related tutorials and surveys (26)

  • [Par23] David Parker. Multi-Agent Verification and Control with Probabilistic Model Checking. In Proc. 20th International Conference on Quantitative Evaluation of SysTems (QEST'23), volume 14287 of LNCS, pages 1-9, Springer. September 2023. [pdf] [bib] [Summarises advances in probabilistic model checking for stochastic games, as implemented in PRISM-games, and discusses its applicability to multi-agent systems.]
  • [KNP+22] Marta Kwiatkowska, Gethin Norman, David Parker, Gabriel Santos and Rui Yan. Probabilistic Model Checking for Strategic Equilibria-based Decision Making: Advances and Challenges. In Proc. 47th International Symposium on Mathematical Foundations of Computer Science (MFCS'22), pages 4:1-4:22. August 2022. [pdf] [bib] [Provides an overview of recent work developing a modelling and verification framework using concurrent stochastic games.]
  • [KNP22] Marta Kwiatkowska, Gethin Norman and David Parker. Probabilistic Model Checking and Autonomy. Annual Review of Control, Robotics, and Autonomous Systems, 5, pages 385-410, Annual Reviews. May 2022. [pdf] [bib] [Gives an overview of probabilistic model checking as applied to the context of robotics and autonomous systems.]
  • [KNP17] Marta Kwiatkowska, Gethin Norman and David Parker. Probabilistic Model Checking: Advances and Applications. In R. Drechsler (editor), Formal System Verification, pages 73-121, Springer. June 2017. [pdf] [bib] [Provides an introduction to probabilistic model checking, including coverage of some recent advances in the field and a wide variety of examples and applications.]
  • [SK16] Maria Svorenova and Marta Kwiatkowska. Quantitative Verification and Strategy Synthesis for Stochastic Games. European Journal of Control, 30, pages 15-30, Elsevier. 2016. [pdf] [bib] [Provides an overview of techniques for quantitative verification and strategy synthesis for stochastic games.]
  • [Kwi16] Marta Kwiatkowska. Model Checking and Strategy Synthesis for Stochastic Games: From Theory to Practice. In Proc. 43rd International Colloquium on Automata, Languages, and Programming (ICALP'16), Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. 2016. [pdf] [bib] [Gives an overview of quantitative verification and strategy synthesis for stochastic multi-player games, as implemented in PRISM-games.]
  • [NP14] Gethin Norman and David Parker. Quantitative Verification: Formal Guarantees for Timeliness, Reliability and Performance. A report by the London Mathematical Society and the Smith Institute. Edited by Robert Leese and Tom Melham. 2014. [pdf] [bib] [Gives a short, accessible introduction to quantitative verification, with a focus on model checking for timed and probabilistic systems.]
  • [KT14] Marta Kwiatkowska and Chris Thachuk. Probabilistic Model Checking for Biology. In Software Safety and Security, IOS Press. 2014. [pdf] [bib] [A tutorial on the application of probabilistic model checking and PRISM to biological systems, including examples of DNA computation.]
  • [Kwi13] Marta Kwiatkowska. From Software Verification to 'Everyware' Verification. Computer Science - Research and Development, 28(4), pages 295-310, Springer. November 2013. [pdf] [bib] [Summarises ongoing research into verification of 'everyware', including techniques and tools that improve, extend and connect to PRISM.]
  • [KP13] Marta Kwiatkowska and David Parker. Automated Verification and Strategy Synthesis for Probabilistic Systems. In Proc. 11th International Symposium on Automated Technology for Verification and Analysis (ATVA'13), volume 8172 of LNCS, pages 5-22, Springer. October 2013. [pdf] [bib] [Provides an overview of strategy synthesis techniques for probabilistic models.]
  • [NPS13] Gethin Norman, David Parker and Jeremy Sproston. Model Checking for Probabilistic Timed Automata. Formal Methods in System Design, 43(2), pages 164-190, Springer. September 2013. [pdf] [bib] [Survey/tutorial paper on probabilistic timed automata and techniques for their verification, and two illustrative case studies.]
  • [Kwi13b] Marta Kwiatkowska. Advances in Quantitative Verification for Ubiquitous Computing. In Proc. 10th International Colloquium on Theoretical Aspects of Computing (ICTAC'13), volume 8049 of LNCS, pages 42-58, Springer. September 2013. [pdf] [bib] [Invited paper on recent developments in quantitative verification for ubiquitous computing, illustrated by three PRISM case studies. ]
  • [Kwi12] Marta Kwiatkowska. Sensing Everywhere: Towards Safer and More Reliable Sensor-enabled Devices. In Proc. 31st International Conference on Computer Safety, Reliability and Security (SAFECOMP'12), Springer. September 2012. [pdf] [bib] [Invited talk on research directions for verification of sensor-enabled devices, including PRISM-based analyses.]
  • [KP12] Marta Kwiatkowska and David Parker. Advances in Probabilistic Model Checking. In Software Safety and Security - Tools for Analysis and Verification, volume 33 of NATO Science for Peace and Security Series - D: Information and Communication Security, pages 126-151, IOS Press. June 2012. [pdf] [bib] [Tutorial paper on probabilistic model checking, covering DTMCs, MDPs, quantitative abstraction refinement, PTAs and PRISM.]
  • [FKNP11] Vojtěch Forejt, Marta Kwiatkowska, Gethin Norman and David Parker. Automated Verification Techniques for Probabilistic Systems. In M. Bernardo and V. Issarny (editors), Formal Methods for Eternal Networked Software Systems (SFM'11), volume 6659 of LNCS, pages 53-113, Springer. June 2011. [pdf] [bib] [Tutorial paper on probabilistic model checking, focusing on verification techniques for MDPs, accompanied by case studies and examples for PRISM.]
  • [KNP10c] Marta Kwiatkowska, Gethin Norman and David Parker. Advances and Challenges of Probabilistic Model Checking. In Proc. 48th Annual Allerton Conference on Communication, Control and Computing, pages 1691-1698, IEEE Press. Invited paper. October 2010. [pdf] [bib] [Gives a high-level overview of probabilistic model checking and PRISM; and surveys some current recent directions.]
  • [KNP10a] Marta Kwiatkowska, Gethin Norman and David Parker. Probabilistic Model Checking for Systems Biology. In M. Sriram Iyengar (editor), Symbolic Systems Biology, pages 31-59, Jones and Bartlett. May 2010. [pdf] [bib] [Tutorial on the application of probabilistic model checking and PRISM to systems biology, including an illustrative case study (FGF) and reader exercises.]
  • [KNP09b] Marta Kwiatkowska, Gethin Norman and David Parker. Quantitative Verification Techniques for Biological Processes. In A. Condon, D. Harel, J. Kok, A. Salomaa and E. Winfree (editors), Algorithmic Bioprocesses, pages 391-409, Springer. August 2009. [pdf] [bib] [Tutorial paper on the application of probabilistic model checking and PRISM to biological systems, including an illustrative case study (MAPK cascade).]
  • [KNP09a] Marta Kwiatkowska, Gethin Norman and David Parker. PRISM: Probabilistic Model Checking for Performance and Reliability Analysis. ACM SIGMETRICS Performance Evaluation Review, 36(4), pages 40-45, ACM. March 2009. [pdf] [bib] [Provides an overview of PRISM and its application to performance and and reliability analysis.]
  • [KNP08a] Marta Kwiatkowska, Gethin Norman and David Parker. Using Probabilistic Model Checking in Systems Biology. ACM SIGMETRICS Performance Evaluation Review, 35(4), pages 14-21, Association for Computing Machinery. March 2008. [ps.gz] [pdf] [bib] [Illustrates the applicability of PRISM to systems biology, using a case study: the MAPK cascade.]
  • [KNPS08] Marta Kwiatkowska, Gethin Norman, David Parker and Jeremy Sproston. Verification of Real-Time Probabilistic Systems. In S. Merz and N. Navet (editors), Modeling and Verification of Real-Time Systems: Formalisms and Software Tools, pages 249-288, John Wiley & Sons. January 2008. [pdf] [bib] http://www.iste.co.uk/index.php?p=a&ACTION=View&id=195 [Tutorial on probabilistic timed automata (PTAs) and the methods used by PRISM to analyse them.]
  • [Kwi07] M. Kwiatkowska. Quantitative Verification: Models, Techniques and Tools. In Proc. 6th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE), pages 449-458, ACM Press. September 2007. [pdf] [bib] [Overview of probabilistic model checking and PRISM, with a particular emphasis on DTMCs.]
  • [KNP07a] Marta Kwiatkowska, Gethin Norman and David Parker. Stochastic Model Checking. In M. Bernardo and J. Hillston (editors), Formal Methods for the Design of Computer, Communication and Software Systems: Performance Evaluation (SFM'07), volume 4486 of Lecture Notes in Computer Science (Tutorial Volume), pages 220-270, Springer. June 2007. [pdf] [bib] [Tutorial paper covering probabilistic model checking of DTMCs/CTMCs and PRISM.]
  • [KNP+06] Marta Kwiatkowska, Gethin Norman, David Parker, Oksana Tymchyshyn, John Heath and Eamonn Gaffney. Simulation and Verification for Computational Modelling of Signalling Pathways. In Proc. 2006 Winter Simulation Conference, pages 1666-1674. December 2006. [ps.gz] [pdf] [bib] [Surveys techniques for the analysis of cell signalling pathways, including the simulation and model checking techniques in PRISM.]
  • [KNP04a] Jan Rutten, Marta Kwiatkowska, Gethin Norman and David Parker. Mathematical Techniques for Analyzing Concurrent and Probabilistic Systems. Volume 23 of CRM Monograph Series. American Mathematical Society. P. Panangaden and F. van Breugel (eds.). March 2004. [bib]
  • [Kwi03] M. Kwiatkowska. Model Checking for Probability and Time: From Theory to Practice. In Proc. 18th IEEE Symposium on Logic in Computer Science (LICS'03), pages 351-360, IEEE CS Press. Invited paper. June 2003. [ps.gz] [pdf] [bib]

Others

  • [ABB+24] Roman Andriushchenko, Alexander Bork, Carlos E. Budde, Milan Češka, Kush Grover, Ernst Moritz Hahn, Arnd Hartmanns, Bryant Israelsen, Nils Jansen, Joshua Jeppson, Sebastian Junges, Maximilian A. Köhl, Bettina Könighofer, Jan Křetínský, Tobias Meggendorfer, David Parker, Stefan Pranger, Tim Quatmann, Enno Ruijters, Landon Taylor, Matthias Volk, Maximilian Weininger and Zhen Zhang. Tools at the Frontiers of Quantitative Verification. In Proc. TOOLympics III, Springer. To appear. 2024. [pdf] [bib] [Write-up of the third edition of QComp, which surveys the state of the art in quantitative verification tools, including PRISM, PRISM-games, and their extensions, amongst many others. ]
  • [BHK+20] Carlos E. Budde, Arnd Hartmanns, Michaela Klauck, Jan Kretinsky, David Parker, Tim Quatmann, Andrea Turrini and Zhen Zhang. On Correctness, Precision, and Performance in Quantitative Verification: QComp 2020 Competition Report. In Proc. 9th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA'20), volume 12479 of LNCS, pages 216-241, Springer. October 2020. [pdf] [bib] [Summarises the 2020 Comparison of Tools for the Analysis of Quantitative Formal Models (QComp'20) featuring PRISM and 8 other tools.]
  • [HHH+19] Ernst Moritz Hahn, Arnd Hartmanns, Christian Hensel, Michaela Klauck, Joachim Klein, Jan Křetínský, David Parker, Tim Quatmann, Enno Ruijters and Marcel Steinmetz. The 2019 Comparison of Tools for the Analysis of Quantitative Formal Models (QComp 2019 Competition Report). In Proc. 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'19), volume 11429 of LNCS, pages 69-92, Springer. April 2019. [pdf] [bib] [Summarises the first Quantitative Formal Models competition (QComp) featuring PRISM and 8 other tools.]
  • [HKPQR19] Arnd Hartmanns, Michaela Klauck, David Parker, Tim Quatmann and Enno Ruijters. The Quantitative Verification Benchmark Set. In Proc. 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'19), volume 11427 of LNCS, pages 344-350, Springer. April 2019. [pdf] [bib] [Presents a benchmark suite for quantitative verification, include a selection of models/properties for use in PRISM.]
  • [KNP12b] Marta Kwiatkowska, Gethin Norman and David Parker. The PRISM Benchmark Suite. In Proc. 9th International Conference on Quantitative Evaluation of SysTems (QEST'12), pages 203-204, IEEE CS Press. September 2012. [pdf] [bib] [Introduces a suite of PRISM models/properties and other resources for benchmarking and testing.]
  • [SUH+06] H. Sauro, A. Uhrmacher, D. Harel, M. Hucka, M. Kwiatkowska, P. Mendes, C. Shaffer, L. Stromback and J. Tyson. Challenges for modeling and simulation methods in systems biology. In L. Perrone, F. Wieland, J. Liu, B. Lawson, D. Nicol and R. Fujimoto (editors), Proc. 2006 Winter Simulation Conference, pages 1720-1730, IEEE. December 2006. [pdf] [bib]
  • [KNP06e] M. Kwiatkowska, G. Norman and A. Pacheco. Model Checking Expected Time and Expected Reward Formulae with Random Time Bounds. Computers & Mathematics with Applications, 51(2), pages 305-316, Elsevier. January 2006. [ps.gz] [pdf] [bib]
  • [KNP02d] M. Kwiatkowska, G. Norman and A. Pacheco. Model Checking Expected Time and Expected Reward Formulae with Random Time Bounds. In Proc. 2nd Euro-Japanese Workshop on Stochastic Risk Modelling for Finance, Insurance, Production and Reliability. September 2002. [ps.gz] [pdf] [bib]
  • [KMNP02] Marta Kwiatkowska, Rashid Mehmood, Gethin Norman and David Parker. A Symbolic Out-of-Core Solution Method for Markov Models. In Proc. Workshop on Parallel and Distributed Model Checking (PDMC'02), volume 68.4 of ENTCS. August 2002. [ps.gz] [pdf] [bib]
  • [KNP02c] M. Kwiatkowska, G. Norman and A. Pacheco. Model Checking CSL Until Formulae with Random Time Bounds. In H. Hermanns and R. Segala (editors), Proc. PAPM/PROBMIV'02, volume 2399 of Lecture Notes in Computer Science, pages 152-168, Springer. July 2002. [ps.gz] [pdf] [bib]
  • [KM02] M. Kwiatkowska and R. Mehmood. Out-of-Core Solution of Large Linear Systems of Equations arising from Stochastic Modelling. In Proc. PAPM/PROBMIV'02, volume 2399 of LNCS, pages 135-151, Springer-Verlag. July 2002. [ps.gz] [bib]

Publications