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2004 | alle anzeigen nach oben zur Jahresübersicht Bettina Braitling, Luis María Ferrer Fioriti, Hassan Hatefi, Ralf Wimmer, Bernd Becker, Holger HermannsAbstraction-based Computation of Reward Measures for Markov Automata 2015 Mumbai, India Int'l Conf. Verification, Model Checking, and Abstract Interpretation (VMCAI) , Band : 8931, Seiten : 172 - 189 Hassan Hatefi, Bettina Braitling, Ralf Wimmer, Luis Maria Ferrer Fioriti, Holger Hermanns, Bernd BeckerCost vs. Time in Stochastic Games and Markov Automata 2015 International Symposium on Dependable Software Engineering: Theory, Tools and Applications (SETTA) Proc. of SETTA , Springer-Verlag, Band : 9409, Seiten : 19 - 34» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Costs and rewards are important tools for analysing quantitative aspects of models like energy consumption and costs of maintenance and repair. Under the assumption of transient costs, this paper considers the computation of expected cost-bounded rewards and cost-bounded reachability for Markov automata and stochastic games. We give a transformation of this class of properties to expected time-bounded rewards and time-bounded reachability, which can be computed by available algorithms. We prove the correctness of the transformation and show its effectiveness on a number of case studies. Karina Gitina, Ralf Wimmer, Sven Reimer, Matthias Sauer, Christoph Scholl, Bernd BeckerSolving DQBF Through Quantifier Elimination 2015 Conf. on Design, Automation and Test in Europe Karsten Scheibler, Leonore Winterer, Ralf Wimmer, Bernd BeckerTowards Verification of Artificial Neural Networks 2015 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” » Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We consider the safety verification of controllers obtained via machine learning. This is an important problem as the employed machine learning techniques work well in practice, but cannot guarantee safety of the produced controller, which is typically represented as an artificial neural network. Nevertheless, such methods are used in safety-critical environments.
In this paper we take a typical control problem, namely the Cart Pole System (a.k.a. inverted pendulum), and a model of its physical environment and study safety verification of this system. To do so, we use bounded model checking (BMC). The created formulas are solved with the SMT-solver iSAT3. We examine the problems that occur during solving these formulas and show that extending the solver by special deduction routines can reduce both memory consumption and computation time on such instances significantly. This constitutes a first step towards verification of machine-learned controllers, but a lot of challenges remain. Ernst Moritz Hahn, Holger Hermanns, Ralf Wimmer, Bernd BeckerTransient Reward Approximation for Continuous-Time Markov Chains 2015 Ieee T Reliab , Band : 64, Nummer : 4» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We are interested in the analysis of very large continuous-time Markov chains (CTMCs) with many distinct rates. Such models arise naturally in the context of the reliability analysis, e.g., of computer networks performability analysis, of power grids, of computer virus vulnerability, and in the study of crowd dynamics. We use abstraction techniques together with novel algorithms for the computation of bounds on the expected final and accumulated rewards in continuous-time Markov decision processes (CTMDPs). These ingredients are combined in a partly symbolic and partly explicit (symblicit) analysis approach. In particular, we circumvent the use of multi-terminal decision diagrams, because the latter do not work well if facing a large number of different rates. We demonstrate the practical applicability and efficiency of the approach on two case studies. nach oben zur Jahresübersicht Nils Jansen, Florian Corzilius, Matthias Volk, Ralf Wimmer, Erika Ábrahám, Joost-Pieter Katoen, Bernd BeckerAccelerating Parametric Probabilistic Verification 2014 Int'l Conf. on Quantitative Evaluation of Systems (QEST) , Springer-Verlag, Band : 8657, Seite : 404-420» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We present a novel method for computing reachability probabilities of parametric discrete-time Markov chains whose transition probabilities are fractions of polynomials over a set of parameters. Our algorithm is based on two key ingredients: a graph decomposition into strongly connected subgraphs combined with a novel factorization strategy for polynomials. Experimental evaluations show that these approaches can lead to a speed-up of up to several orders of magnitude in comparison to existing approaches. Sreedhar Saseendran Kumar, Jan Wülfing, Joschka Boedecker, Ralf Wimmer, Martin Riedmiller, Bernd Becker, Ulrich EgertAutonomous Control of Network Activity 2014 9th International Meeting on Substrate-Integrated Microelectrode Arrays (MEA) » Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Electrical stimulation of the brain is used to treat neurological disorders. Yet it is unknown how to find stimulation patterns that produce desired results with the least interference. Towards this goal, we tested a generic closed-loop paradigm that autonomously optimizes stimulation settings. We used neuronal networks coupled to a reinforcement learning based controller to maximize response lengths. Erika Ábrahám, Bernd Becker, Christian Dehnert, Nils Jansen, Joost-Pieter Katoen, Ralf WimmerCounterexample Generation for Discrete-Time Markov Models: An Introductory Survey In : International School on Formal Methods for the Design of Computer, Communication, and Software Systems (SFM), Advanced Lectures 2014, Springer-Verlag , Seiten : 65 - 121, » Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung This paper is an introductory survey of available methods for the computation and representation of probabilistic counterexamples for discrete-time Markov chains and probabilistic automata. In contrast to traditional model checking, probabilistic counterexamples are sets of finite paths with a critical probability mass. Such counterexamples are not obtained as a by-product of model checking, but by dedicated algorithms. We define what probabilistic counterexamples are and present approaches how they can be generated. We discuss methods based on path enumeration, the computation of critical subsystems, and the generation of critical command sets, both, using explicit and symbolic techniques. Bettina Braitling, Luis María Ferrer Fioriti, Hassan Hatefi, Ralf Wimmer, Bernd Becker, Holger HermannsMeGARA: Menu-based Game Abstraction and Abstraction Refinement of Markov Automata
2014 International Workshop on Quantitative Aspects of Programming Languages and Systems , Band : EPTCS» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Markov automata combine continuous time, probabilistic transitions, and nondeterminism in a single model. They represent an important and powerful way to model a wide range of complex real-life systems. However, such models tend to be large and difficult to handle, making abstraction and abstraction refinement necessary. In this paper we present an abstraction and abstraction refinement technique for Markov automata, based on the game-based and menu-based abstraction of Markov decision processes. First experiments show that a significant reduction in size is possible using
abstraction. Ralf Wimmer, Nils Jansen, Erika Ábrahám, Joost-Pieter Katoen, Bernd BeckerMinimal Counterexamples for Linear-Time Probabilistic Verification 2014 Theor Comput Sci » Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Counterexamples for property violations have a number of important applications like supporting the debugging of erroneous systems and verifying large systems via counterexample-guided abstraction refinement. In this paper, we propose the usage of minimal critical subsystems of discrete-time Markov chains and Markov decision processes as counterexamples for violated omega-regular properties. Minimality can thereby be defined in terms of the number of states or transitions. This problem is known to be NP-complete for Markov decision processes. We show how to compute such subsystems using mixed integer linear programming and evaluate the practical applicability in a number of experiments. They show that our method yields substantially smaller counterexample than using existing techniques. Nils Jansen, Ralf Wimmer, Erika Ábrahám, Barna Zajzon, Joost-Pieter Katoen, Bernd Becker, Johann SchusterSymbolic Counterexample Generation for Large Discrete-Time Markov Chains 2014 Sci Comput Program , Band : 91, Nummer : A, Seiten : 90 - 114» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung This paper presents several symbolic counterexample generation algorithms for discrete-time Markov chains (DTMCs) violating a PCTL formula. A counterexample is (a symbolic representation of) a sub-DTMC that is incrementally generated. The crux to this incremental approach is the symbolic generation of paths that belong to the counterexample. We consider two approaches. First, we extend bounded model checking and develop a simple heuristic to generate highly probable paths first. We then complement the SAT-based approach by a fully (multi-terminal) BDD-based technique. All symbolic approaches are implemented, and our experimental results show a substantially better scalability than existing explicit techniques. In particular, our BDD-based approach using a method called fragment search allows for counterexample generation for DTMCs with billions of states (up to 10^{15}). nach oben zur Jahresübersicht Nils Jansen, Florian Corzilius, Matthias Volk, Ralf Wimmer, Erika Ábrahám, Joost-Pieter Katoen, Becker, BerndAccelerating Parametric Probabilistic Verification arXiv , Band : arXiv:1312.3979, 2013 Karina Gitina, Sven Reimer, Matthias Sauer, Ralf Wimmer, Christoph Scholl, Bernd BeckerEquivalence Checking for Partial Implementations Revisited 2013 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” , Universität Rostock ITMZ, Seiten : 61 - 70» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung In this paper we consider the problem of checking whether a partial implementation can (still) be extended to a complete design which is equivalent to a given full specification. In particular, we investigate the relationship between the equivalence checking problem for partial implementations (PEC) and the validity problem for quantified boolean formulae (QBF) with so-called Henkin quantifiers. Our analysis leads us to a sound and complete algorithmic solution to the PEC problem as well as to an exact complexity theoretical classification of the problem. Karina Gitina, Sven Reimer, Matthias Sauer, Ralf Wimmer, Christoph Scholl, Bernd BeckerEquivalence Checking of Partial Designs using Dependency Quantified Boolean Formulae 2013 Int'l Conf. on Computer Design , IEEE Computer Society, Seiten : 396 - 403» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We consider the partial equivalence checking problem (PEC), i.e., checking whether a given partial implementation of a combinational circuit can (still) be extended to a complete design that is equivalent to a given full specification. To solve PEC, we give a linear transformation from PEC to the question whether a dependency quantified Boolean formula (DQBF) is satisfied.
Our novel algorithm to solve DQBF based on quantifier elimination can therefore be applied to solve PEC. We also present first experimental results showing the feasibility of our approach and the inaccuracy of QBF approximations, which are usually used for deciding the PEC so far. Ralf Wimmer, Nils Jansen, Andreas Vorpahl, Erika Ábrahám, Joost-Pieter Katoen, Bernd BeckerHigh-Level Counterexamples for Probabilistic Automata 2013 Springer-Verlag, Band : 8054, Seiten : 18 - 33» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Providing compact and understandable counterexamples for violated
system properties is an essential task in model checking. Existing
works on counterexamples for probabilistic systems so far computed
either a large set of system runs or a subset of the system's
states, both of which are of limited use in manual debugging. Many
probabilistic systems are described in a guarded command language
like the one used by the popular model checker \texttt{PRISM}. In this
paper we describe how a minimal subset of the commands can be
identified which together already make the system erroneous. We
additionally show how the selected commands can be further
simplified to obtain a well-understandable counterexample. Ralf Wimmer, Nils Jansen, Andreas Vorpahl, Erika Ábrahám, Joost-Pieter Katoen, Bernd BeckerHigh-Level Counterexamples for Probabilistic Automata , Band : arxiv:1305.5055, 2013 Bettina Braitling, Ralf Wimmer, Bernd Becker, Erika ÁbrahámStochastic Bounded Model Checking: Bounded Rewards and Compositionality 2013 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” , Seiten : 243 - 254» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We extend the available SAT/SMT-based methods for generating
counterexamples of probabilistic systems in two ways: First, we
propose bounded rewards, which are appropriate, e. g., to model the
energy consumption of autonomous embedded systems, and show how to
extend the SMT-based counterexample generation to handle such
models. Second, we describe a compositional SAT encoding of the transition
relation of Markov models, which exploits the system structure to
obtain a more compact formula, which in turn can be solved more
efficiently. Preliminary experiments show promising results in both
cases. nach oben zur Jahresübersicht Ralf Wimmer, Nils Jansen, Erika Ábrahám, Joost-Pieter Katoen, Bernd BeckerMinimal Counterexamples for Refuting omega-Regular Properties of Markov Decision Processes AVACS Technical Report , Nummer : 88, 2012 Ralf Wimmer, Bernd Becker, Nils Jansen, Erika Ábrahám, Joost-Pieter KatoenMinimal Critical Subsystems as Counterexamples for omega-Regular DTMC Properties 2012 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” , Verlag Dr. Kovac, Seiten : 169 - 180 Ralf Wimmer, Bernd Becker, Nils Jansen, Erika Ábrahám, Joost-Pieter KatoenMinimal Critical Subsystems for Discrete-Time Markov Models 2012 Int'l Conf. on Tools and Algorithms for the Construction and Analysis of Systems , Springer-Verlag, Band : 7214, Seiten : 299 - 314» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We propose a new approach to compute counterexamples for violated ω-regular properties of discrete-time Markov chains and Markov decision processes. Whereas most approaches compute a set of system paths as a counterexample, we determine a critical subsystem that already violates the given property. In earlier work we introduced methods to compute such subsystems based on a search for shortest paths. In this paper we use SMT solvers and mixed integer linear programming to determine minimal critical subsystems. Nils Jansen, Erika Ábrahám, Barna Zajzon, Ralf Wimmer, Johann Schuster, Joost-Pieter Katoen, Bernd BeckerSymbolic Counterexample Generation for Discrete-time Markov Chains 2012 Int'l Symp. on Formal Aspects of Component Software , Springer-Verlag, Band : 7684, Seiten : 134 - 151» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung In this paper we investigate the generation of counterexamples for discrete-time Markov chains (DTMCs) and PCTL properties. Whereas most available methods use explicit representations for at least some intermediate results, our aim is to develop fully symbolic algorithms. As in most related work, our counterexample computations are based on path search. We first adapt bounded model checking as a path search algorithm and extend it with a novel SAT-solvingheuristics to prefer paths with higher probabilities. As a second approach, we use symbolic graph algorithms to find counterexamples. Experiments show that our approaches, in contrast to other existing techniques, are applicable to very large systems with millions of states. Ralf WimmerSymbolische Methoden für die probabilistische Verifikation In : Ausgezeichnete Informatik-Dissertationen 2012, Gesellschaft für Informatik , Stefan Hölldobler et al., Seiten : 271 - 280, Stefan Hölldobler et al., ISBN : 978-3-88579-416-5» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Ein bekanntes Hindernis für die formale Verifikation von Systemen
bildet die potentiell stark anwachsende Größe des Zustandsraums, genannt
``Zustandsraumexplosion''. Dieses Problem konnte für digitale
Schaltungen durch den Einsatz symbolischer Methoden zufriedenstellend
gelöst oder zumindest entscheidend entschärft werden. Für
probabilistische Systeme, die als Markow-Kette oder
Markow-Entscheidungsprozess modelliert sind, brachte die direkte
Übertragung dieser symbolischen Methoden bisher keinen Durchbruch.
In dieser Arbeit stellen wir zwei neue Ansätze vor, mit denen
Markow-Modelle mit sehr großen Zustandsräumen verifiziert werden
können. Die erste Methode ist ein symbolisches Verfahren zur
Vorverarbeitung: Zu jedem Markow-Modell berechnen wir mit rein
symbolischen Verfahren das kleinste Modell, das in den
interessierenden Eigenschaften mit dem Original-Modell übereinstimmt.
Die Verifikation kann danach auf dem minimierten Modell durchgeführt
werden. Das zweite offene Problem, das in der Dissertation gelöst
wird, ist die symbolische Berechnung von Gegenbeispielen, wenn
Sicherheitseigenschaften von Markow-Ketten mit diskreter Zeit verletzt
sind. Anhand von Experimenten wird gezeigt, dass die neu entwickelten
Verfahren den bisher verfügbaren Verfahren hinsichtlich der
Laufzeit bzw. der Größe der handhabbaren Systeme deutlich überlegen sind. Nils Jansen, Erika Ábrahám, Matthias Volk, Ralf Wimmer, Joost-Pieter Katoen, Bernd BeckerThe COMICS Tool - Computing Minimal Counterexamples for DTMCs 2012 Automated Technology for Verification and Analysis , Springer-Verlag, Band : 7561, Seiten : 349 - 353» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung This paper presents the tool COMICS 1.0, which performs model checking and generates counterexamples for DTMCs. For an input DTMC, COMICS computes an abstract system that carries the model checking information and uses this result to compute a critical subsystem, which induces a counterexample. This abstract subsystem can be refined and concretized hierarchically. The tool comes with a command line version as well as a graphical user interface that allows the user to interactively influence the refinement process of the counterexample. Nils Jansen, Erika Ábrahám, Maik Scheffler, Matthias Volk, Andreas Vorpahl, Ralf Wimmer, Joost-Pieter Katoen, Bernd BeckerThe COMICS Tool - Computing Minimal Counterexamples for DTMCs , Band : arxiv:1206.0603, 2012 Ernst Moritz Hahn, Holger Hermanns, Ralf Wimmer, Bernd BeckerTransient Reward Approximation for Grids, Crowds, and Viruses arXiv , Band : arxiv:1212.1251, 2012 nach oben zur Jahresübersicht Pepijn Crouzen, Ernst Moritz Hahn, Holger Hermanns, Abhishek Dhama, Oliver Theel, Ralf Wimmer, Bettina Braitling, Bernd BeckerBounded Fairness for Probabilistic Distributed Algorithms 2011 Int'l Conf. on Application of Concurrency to System Design , IEEE Computer Society, Seiten : 89 - 97» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung This paper investigates quantitative dependability metrics for distributed algorithms operating in the presence of sporadic or frequently occurring faults. In particular, we investigate necessary revisions of traditional fairness assumptions in order to arrive at useful metrics, without adding hidden assumptions that may obfuscate their validity. We formulate faulty distributed algorithms as Markov decision processes to incorporate both probabilistic faults and non-determinism arising from concurrent execution. We lift the notion of bounded fairness to the setting of Markov decision processes. Bounded fairness is particularly suited for distributed algorithms running on nearly symmetric infrastructure, as it is common for sensor network applications. Finally, we apply this fairness notion in the quantitative model-checking of several case studies. Bettina Braitling, Ralf Wimmer, Bernd Becker, Nils Jansen, Erika ÁbrahámCounterexample Generation for Markov Chains using SMT-based Bounded Model Checking 2011 IFIP Int'l Conf. on Formal Methods for Open Object-based Distributed Systems , Springer-Verlag, Band : 6722, Seiten : 75 - 89» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Generation of counterexamples is a highly important task in the model checking process. In contrast to, e.\,g., digital circuits where counterexamples typically consist of a single path leading to a critical state of the system, in the probabilistic setting counterexamples may consist of a large number of paths. In order to be able to handle large systems and to use the capabilities of modern SAT-solvers, bounded model checking (BMC) for discrete-time Markov chains was established.\par In this paper we introduce the usage of SMT-solving over linear real arithmetic for the BMC procedure. SMT-solving, extending SAT with theories in this context on the one hand leads to a convenient way to express conditions on the probability of certain paths and on the other hand allows to handle Markov reward models. We use the former to find paths with high probability first. This leads to more compact counterexamples. We report on some experiments, which show promising results. Nils Jansen, Erika Ábrahám, Jens Katelaan, Ralf Wimmer, Joost-Pieter Katoen, Bernd BeckerHierarchical Counterexamples for Discrete-Time Markov Chains 2011 Int'l Symp. on Automated Technology for Verification and Analysis , Springer-Verlag, Band : 6996, Seiten : 443 - 452» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung This paper introduces a novel counterexample generation approach for the verification of discrete-time Markov chains (DTMCs) with two main advantages: (1) We generate abstract counterexamples which can be refined in a hierarchical manner. (2) We aim at minimizing the number of states involved in the counterexamples, and compute a critical subsystem of the DTMC whose paths form a counterexample. Experiments show that with our approach we can reduce the size of counterexamples and the number of computation steps by several orders of magnitude. Nils Jansen, Erika Ábrahám, Jens Katelaan, Ralf Wimmer, Joost-Pieter Katoen, Bernd BeckerHierarchical Counterexamples for Discrete-Time Markov Chains , Band : AIB-2011-11, 2011 Ralf Wimmer, Ernst Moritz Hahn, Holger Hermanns, Bernd BeckerReachability Analysis for Incomplete Networks of Markov Decision Processes 2011 Int'l Conf. on Formal Methods and Models for Co-Design , IEEE Computer Society Press, Seiten : 151 - 160» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Assume we have a network of discrete-time Markov decision processes (MDPs) which synchronize via common actions. We investigate how to compute probability measures in case the structure of some of the component MDPs (so-called blackbox MDPs) is not known. We then extend this computation to work on networks of MDPs that share integer data variables of finite domain. We use a protocol which spreads information within a network as a case study to show the feasibility and effectiveness of our approach. Bettina Braitling, Ralf Wimmer, Bernd Becker, Nils Jansen, Erika ÁbrahámSMT-based Counterexample Generation for Markov Chains 2011 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” , Offis Oldenburg, Band : 14, Seiten : 19 - 28» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Counterexamples are a highly important feature of the model checking process. In contrast to, e.\,g., digital circuits where counterexamples typically consist of a single path leading to a critical state of the system, in the probabilistic setting, counterexamples may consist of a large number of paths. In order to be able to handle large systems and to use the capabilities of modern SAT-solvers, bounded model checking (BMC) for discrete-time Markov chains was established.In this paper we introduce the usage of SMT-solving over the reals for the BMC procedure. SMT-solving, extending SAT with theories, leads in this context on the one hand to a convenient way to express conditions on the probability of certain paths and on the other hand to handle Markov Reward models. The former can be used to find paths with high probability first. This leads to more compact counterexamples.We report on some experiments, which show promising results. nach oben zur Jahresübersicht Marco Bozzano, Alessandro Cimatti, Joost-Pieter Katoen, Viet Yen Nguyen, Thomas Noll, Marco Roveri, Ralf WimmerA Model Checker for AADL 2010 Int'l Conf. on CAV , Springer-Verlag, Band : 6174, Seiten : 562 - 565» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We present a graphical toolset for verifying AADL models, which aregaining widespread acceptance in aerospace, automobile and avionicsindustries for comprehensively specifying safety-critical systems bycapturing functional, probabilistic and hybrid aspects. Analysesare implemented on top of mature model checking tools and range fromrequirements validation to functional verification, safety assessmentvia automatic derivation of FMEA tables and dynamic fault trees,to performability evaluation, and diagnosability analysis. The toolset iscurrently being applied to several case studies by a major industrialdeveloper of aerospace systems. Pepijn Crouzen, Ernst Moritz Hahn, Holger Hermanns, Abhishek Dhama, Oliver Theel, Ralf Wimmer, Bettina Braitling, Bernd BeckerBounded Fairness for Probabilistic Distributed Algorithms AVACS Technical Report , Band : 57, 2010 Ralf Wimmer, Bernd BeckerCorrectness Issues of Symbolic Bisimulation Computation for Markov Chains 2010 Int'l GI/ITG Conference on “Measurement, Modelling and Evaluation of Computing Systems” , Springer-Verlag, Band : 5987, Seiten : 287 - 301» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Bisimulation reduction is a classical means tofight the infamous state space explosion problem, which limits theapplicability of automated methods for verification like modelchecking. A signature-based method, originally developed by Blom andOrzan for labeled transition systems and adapted for Markov chains byDerisavi, has proved to be very efficient. It is possible to implement itsymbolically using binary decision diagrams such that it is able tohandle very large state spaces efficiently. We will show, however,that for Markov chains this algorithm suffers from numericalinstabilities, which often result in too large quotient systems. Wewill present and experimentally evaluate two different approaches toavoid these problems: first the usage of rational arithmetic, andsecond an approach not only to represent the system structure but alsothe transition rates symbolically. In addition, this allows us tomodify their actual values after the quotient computation. Erika Ábrahám, Nils Jansen, Ralf Wimmer, Joost-Pieter Katoen, Bernd BeckerDTMC Model Checking by SCC Reduction 2010 Int'l Conf. on Quantitative Evaluation of Systems , IEEE Computer Society, Seiten : 37 - 46» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Discrete-Time Markov Chains (DTMCs) are a widely-usedformalism to model probabilistic systems. On the one hand, availabletools like \textsc{Prism} or \textsc{Mrmc} offer efficient \emph{modelchecking} algorithms and thus support the verification of DTMCs.However, these algorithms do not provide any diagnostic informationin the form of \emph{counterexamples}, which arehighly important for the correction of erroneous systems. On the otherhand, there exist several approaches to generate counterexamples forDTMCs, but all these approaches require the model checking result forcompleteness.In this paper we introduce a model checking algorithm for DTMCs thatalso supports the generation of counterexamples. Our algorithm,based on the detection and abstraction of strongly connectedcomponents, offers \emph{abstract} counterexamples, which can beinteractively refined by the user. Natalia Kalinnik, Erika Ábrahám, Tobias Schubert, Ralf Wimmer, Bernd BeckerExploiting Different Strategies for the Parallelization of an SMT Solver 2010 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” , Fraunhofer Verlag, Seiten : 97 - 106» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung In this paper we present two different parallelization schemes for the SMT solver iSAT, based on (1) the distribution of work by dividing the search space into disjoint parts and exploring them in parallel, thereby exchanging learnt information, and (2) a portfolio approach, where the entire benchmark instance isexplored in parallel by several copies of the same solver but usingdifferent heuristics to guide the search. We also combine bothapproaches such that solvers examine disjoint parts of the searchspace using different heuristics. The main contribution of the paper is to study the performances of different techniques for parallelizing iSAT. Ralf Wimmer, Bettina Braitling, Bernd Becker, Ernst Moritz Hahn, Pepijn Crouzen, Holger Hermanns, Abhishek Dhama, Oliver TheelSymblicit Calculation of Long-Run Averages for Concurrent Probabilistic Systems 2010 Int'l Conf. on Quantitative Evaluation of Systems , IEEE Computer Society, Seiten : 27 - 36» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Model checkers for concurrent probabilistic systems havebecome very popular within the last decade. The study of long-runaverage behavior has however received only scant attention in thisarea, at least from the implementation perspective. This paperstudies the problem of how to efficiently realize an algorithm forcomputing optimal long-run average reward values for concurrentprobabilistic systems. At its core is a variation of Howard andVeinott's algorithm for Markov decision processes, where symbolicand non-symbolic representations are intertwined in an effectivemanner: the state space is represented using binary decisiondiagrams, while the linear equation systems which have to be solvedfor the induced Markov chains to improve the current scheduler aresolved using an explicit state representation. In order to keep thelatter small, we apply a symbolic bisimulation minimizationalgorithm to the induced Markov chain. The scheduler improvement step itself is again performed on symbolic data structures. Practical evidence shows that the implementation is effective, andsometimes uses considerably less memory than a fully explicitimplementation. Ralf Wimmer, Salem Derisavi, Holger HermannsSymbolic Partition Refinement with Automatic Balancing of Time and Space 2010 Performance Evaluation , Band : 67, Nummer : 9, Seiten : 815 - 835» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung State space lumping is one of the classical means to fight the state space explosion problem in state-based performance evaluation and verification. Particularly when numerical algorithms are applied to analyze a Markov model, one often observes that those algorithms do not scale beyond systems of moderate size. To alleviate this problem, symbolic lumping algorithms have been devised to effectively reduce very large---but symbolically represented---Markov models to moderate size explicit representations. This lumping step partitions the Markov model in such a way that any numerical analysis carried out on the lumped model is guaranteed to produce exact results for the original system. But even this lumping preprocessing may fail due to time or memory limitations. This paper discusses the two main approaches to symbolic lumping, and combines them to improve on their respective limitations. The algorithm automatically converts between known symbolic partition representations in order to provide a trade-off between memory consumption and runtime. We show how to apply this algorithm for the lumping of Markov chains, but the same techniques can be adapted in a straightforward way to other models like Markov reward models, labeled transition systems, or interactive Markov chains. nach oben zur Jahresübersicht Natalia Kalinnik, Tobias Schubert, Erika Ábrahám, Ralf Wimmer, Bernd BeckerPicoso - A Parallel Interval Constraint Solver 2009 Int'l Conf. on Parallel and Distributed Processing Techniques and Applications , CSREA Press, Seiten : 473 - 479» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung This paper describes the parallel interval constraint solver Picoso, which can decide (a subclass of) boolean combinations of linear and non-linear constraints. Picoso follows a master/client model based on message passing, making it suitable for any kind of workstation cluster as well as for multi-processor machines. To run several clients in parallel, an efficient work stealing mechanism has been integrated, dividing the overall search space into disjoint parts. Additionally, to prevent the clients from running into identical conflicts, information about conflicts in form of conflict clauses is exchanged among the clients. Performance measurements, using four clients to solve a number of benchmark problems, show that Picoso yields linear speedup compared to the sequential interval constraint solver iSAT, on which the clients of Picoso are based. Eckard Böde, Marc Herbstritt, Holger Hermanns, Sven Johr, Thomas Peikenkamp, Reza Pulungan, Jan Rakow, Ralf Wimmer, Bernd BeckerCompositional Dependability Evaluation for Statemate 2009 IEEE Trans. on Software Engineering , Band : 35, Nummer : 2, Seiten : 274 - 292» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Software and system dependability is getting ever more important inembedded system design. Current industrial practice of model-basedanalysis is supported by state-transition diagrammatic notationssuch as Statecharts. State-of-the-art modelling tools like\textsc{Statemate} support safety and failure-effect analysis atdesign time, but restricted to qualitative properties. This paperreports on a (plug-in) extension of \textsc{Statemate} enabling theevaluation of quantitative dependability properties at design time.The extension is compositional in the way the model is augmentedwith probabilistic timing information. This fact is exploited in theconstruction of the underlying mathematical model, a uniformcontinuous-time Markov decision process, on which we are able tocheck requirements of the form: \emph{``The probability to hit asafety-critical system configuration within a mission time of 3hours is at most 0.01.''} We give a detailed explanation of theconstruction and evaluation steps making this possible, and reporton a nontrivial case study of a high-speed train signalling systemwhere the tool has been applied successfully. Ralf Wimmer, Bettina Braitling, Bernd BeckerCounterexample Generation for Discrete-time Markov Chains using Bounded Model Checking 2009 Int'l Conf. on Verification, Model Checking and Abstract Interpretation , Springer-Verlag, Band : 5403, Seiten : 366 - 380 Abhishek Dhama, Oliver Theel, Pepijn Crouzen, Holger Hermanns, Ralf Wimmer, Bernd BeckerDependability Engineering of Silent Self-Stabilizing Systems 2009 Int'l Symp. on Stabilization, Safety, and Security of Distributed Systems , Springer-Verlag, Band : 5873, Seiten : 238 - 253» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Self-stabilization is an elegant way of realizing non-masking fault-tolerant systems. Sustained research over last decades has produced multiple self-stabilizing algorithms for many problems in distributed computing. In this paper, we present a framework to evaluate multiple self-stabilizing solutions under a fault model that allows intermittent transient faults. To that end, metrics to quantify the dependability of self-stabilizing systems are defined. It is also shown how to derive models that are suitable for probabilistic model checking in order to determine those dependability metrics. A heuristics-based method is presented to analyze counterexamples returned by a probabilistic model checker in case the system under investigation does not exhibit the desired degree of dependability. Based on the analysis, the self-stabilizing algorithm is subsequently refined. nach oben zur Jahresübersicht Ralf Wimmer, Alexander Kortus, Marc Herbstritt, Bernd BeckerProbabilistic Model Checking and Reliability of Results 2008 IEEE Design and Diagnostics of Electronic Circuits and Systems , IEEE Computer Science Press, Seiten : 207 - 212» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung In formal verification, reliable results are of utmost importance. In model checking of digital systems, mainly incorrect implementations of the model checking algorithms due to logical errors are the source of wrong results. In probabilistic model checking, however, numerical instabilities are an additional source for inconsistent results.\par We motivate our investigations with an example, for which several state-of-the-art probabilistic model checking tools give completely wrong results due to inexact computations. We then analyze, at which points inaccuracies are introduced during the model checking process. We discuss first ideas how, in spite of these inaccuracies, reliable results can be obtained or at least the user be warned about potential correctness problems: (1) usage of exact (rational) arithmetic, (2) usage of interval arithmetic to obtain safe approximations of the actual probabilities, (3) provision of certificates which testify that the result is correct, and (4) integration of a ``degree of belief'' for each sub-formula into existing model checking tools. Bernd Becker, Marc Herbstritt, Natalia Kalinnik, Matthew Lewis, Juri Lichtner, Tobias Nopper, Ralf WimmerPropositional Approximations for Bounded Model Checking of Partial Circuit Designs 2008 IEEE Int'l Conf. on Computer Design , IEEE Computer Society Press, Seiten : 52 - 59» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Bounded model checking of partial circuit designs enables the detection of errors even when the implementation of the design is not finished. The behavior of the missing parts can be modeled by a conservative extension of propositional logic, called 01X-logic. Then the transitions of the underlying (incomplete) sequential circuit under verification have to be represented adequately. In this work, we investigate the difference between a relation-oriented and a function-oriented approach for this issue. Experimental results on a large set of examples show that the function-oriented representation is most often superior w.\,r.\,t. (1) CPU runtime and (2) accuracy regarding the ability to find a counterexample, such that by using the function-oriented approach an increase of accuracy up to 210\% and a speed-up of the CPU runtime up to 390\% compared to the relation-oriented approach are achieved. But there are also relevant examples, e.\,g. a VLIW-ALU, for which the relation-oriented approach outperforms the function-oriented one by 300\% in terms of CPU-time, showing that both approaches are efficient for different scenarios. Ralf Wimmer, Salem Derisavi, Holger HermannsSymbolic Partition Refinement with Dynamic Balancing of Time and Space 2008 Int'l Conf. on Quantitative Evaluation of Systems , IEEE Computer Science Press, Seiten : 65 - 74» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Bisimulation minimization is one of the classical means to fight the infamous state space explosion problem in verification. Particularly in stochastic verification, numerical algorithms are applied, which do not scale beyond systems of moderate size. To alleviate this problem, symbolic bisimulation minimization has been used effectively to reduce very large symbolically represented state spaces to moderate size explicit representations. But even this minimization may fail due to time or memory limitations. This paper presents a symbolic algorithm which relies on a hybrid symbolic partition representation. It dynamically converts between two known representations in order to provide a trade-off between memory consumption and runtime. The conversion itself is logarithmic in the partition size. We show how to apply it for the minimization of Markov chains, but the same techniques can be adapted in a straightforward way to other models like labeled transition systems or interactive Markov chains. Ralf Wimmer, Alexander Kortus, Marc Herbstritt, Bernd BeckerThe Demand for Reliability in Probabilistic Verification 2008 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” , Shaker Verlag, Seiten : 99 - 108» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung For formal verification, reliable results are of utmost importance. In model checking of digital systems, mainly incorrect implementations due to logical errors are the source of wrong results. In probabilistic model checking, however, numerical instabilities are an additional source for inconsistent results.\par First we present an example, for which several state-of-the-art probabilistic model checking tools give completely wrong results due to inexact computations. This motivates the investigation at which points inaccuracies are introduced during the model checking process. We then give ideas how, in spite of these inaccuracies, reliable results can be obtained or at least the user be warned about potential problems: (1) to introduce a ``degree of belief'' for each sub-formula, (2) to use exact (rational) arithmetic, (3) to use interval arithmetic to obtain safe approximations of the actual probabilities, and (4) to provide certificates which testify that the result is correct. nach oben zur Jahresübersicht Ralf Wimmer, Marc Herbstritt, Bernd BeckerForwarding, Splitting, and Block Ordering to Optimize BDD-based Bisimulation Computation 2007 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” , Shaker Verlag, Seiten : 203 - 212» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung In this paper we present optimizations for a BDD-based algorithm for the computation of several types of bisimulations which play an important role for minimisation of large systems thus enabling their verification. The basic principle of the algorithm is partition refinement. Our proposed optimizations take this refinement-structure as well as the usage of BDDs for the representation of the system into account: (1) \emph{block forwarding} updates in-situ newly refined blocks of the partition, (2) \emph{split-driven refinement} approximates the blocks that may be refined, and (3) \emph{block ordering} heuristically suggests a good order in which the blocks will be refined.\par We provide substantial experimental results on examples from different applications and compare them to alternative approaches. The experiments clearly show that the proposed optimization techniques result in a significant performance speed-up compared to the basic algorithm as well as to alternative approaches. Ralf Wimmer, Marc Herbstritt, Bernd BeckerOptimization Techniques for BDD-based Bisimulation Minimization 2007 Great Lakes Symp. on VLSI , ACM Press, Seiten : 405 - 410» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung In this paper we report on optimizations for a BDD-based algorithm for the computation of bisimulations. The underlying algorithmic principle is an iterative refinement of a partition of the state space. The proposed optimizations demonstrate that both, taking into account the algorithmic structure of the problem and the exploitation of the BDD-based representation, are essential to finally obtain an efficient symbolic algorithm for real-world problems. The contributions of this paper are (1) block forwarding to update block refinement as soon as possible, (2) split-driven refinement that over-approximates the set of blocks that must definitely be refined, and (3) block ordering to fix the order of the blocks for the refinement in a clever way. We provide substantial experimental results on examples from different applications and compare them to alternative approaches when possible. The experiments clearly show that the proposed optimization techniques result in a significant performance speed-up compared to the basic algorithm as well as to alternative approaches. Ralf Wimmer, Alexander Kortus, Marc Herbstritt, Bernd BeckerSymbolic Model Checking for DTMCs with Exact and Inexact Arithmetic AVACS Technical Report , Nummer : 30, 2007 Ralf Wimmer, Holger Hermanns, Marc Herbstritt, Bernd BeckerTowards Symbolic Stochastic Aggregation AVACS Technical Report , Nummer : 16, 2007 nach oben zur Jahresübersicht Ralf Wimmer, Tobias Nopper, Marc Herbstritt, Christoph Löffler, Bernd BeckerCollaborative Exercise Management 2006 World Conf. on E-Learning in Corporate, Government, Healthcare, and Higher Education , Association for the Advancement of Computing in Education (AACE), Seiten : 3127 - 3134» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung In this work, we report on a novel tool for managing exercises used in a collaborative course organization environment at university. Our approach focuses on the separation of the content of the exercises and its layout. The latter is based on the typesetting system LaTeX. Content management of the exercises is established by a web-based interface. As a whole, our tool provides a time-saving and unambiguous workflow for collaborative, time- and place-independent exercise organization. Marc Herbstritt, Ralf Wimmer, Thomas Peikenkamp, Eckard Böde, Michael Adelaide, Sven Johr, Holger Hermanns, Bernd BeckerAnalysis of Large Safety-Critical Systems: A quantitative Approach AVACS Technical Report , Band : 8, 2006 Eckard Böde, Marc Herbstritt, Holger Hermanns, Sven Johr, Thomas Peikenkamp, Reza Pulungan, Ralf Wimmer, Bernd BeckerCompositional Performability Evaluation for STATEMATE 2006 Int'l Conf. on Quantitative Evaluation of Systems , IEEE Computer Society, Seiten : 167 - 178» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung This paper reports on our efforts to link an industrial state-of-the-art modelling tool to academic state-of-the-art analysis algorithms. In a nutshell, we enable timed reachability analysis of uniform continuous-time Markov decision processes, which are generated from Statemate models. We give a detailed explanation of several construction, transformation, reduction, and analysis steps required to make this possible. The entire tool flow has been implemented, and it is applied to a nontrivial example. Ralf Wimmer, Marc Herbstritt, Bernd BeckerMinimization of Large State Spaces using Symbolic Branching Bisimulation 2006 IEEE Design and Diagnostics of Electronic Circuits and Systems , IEEE Computer Society Press, Seiten : 9 - 14» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Bisimulations in general are a powerful concept to minimize large finite state systems regarding some well-defined observational behavior. In contrast to strong bisimulation, for branching bisimulation there are only tools available that work on an explicit state space representation. In this work we present for the first time a symbolic approach for branching bisimulation that uses BDDs as basic data structure and that is based on the concept of signature refinement. First experimental results for problem instances derived from process algebraic system descriptions show the feasibility and the robustness of our approach. Ralf Wimmer, Marc Herbstritt, Holger Hermanns, Kelley Strampp, Bernd BeckerSigref - A Symbolic Bisimulation Tool Box 2006 Int'l Symp. on Automated Technology for Verification and Analysis , Springer-Verlag, Band : 4218, Seiten : 477 - 492» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We present a uniform signature-based approach to compute the most popular bisimulations. Our approach is implemented symbolically using BDDs, which enables the handling of very large transition systems. Signatures for the bisimulations are built up from a few generic building blocks, which naturally correspond to efficient BDD operations. Thus, the definition of an appropriate signature is the key for a rapid development of algorithms for other types of bisimulation. We provide experimental evidence of the viability of this approach by presenting computational results for many bisimulations on real-world instances. The experiments show cases where our framework can handle state spaces efficiently that are far too large to handle for any tool that requires an explicit state space description. nach oben zur Jahresübersicht Bernd Becker, Markus Behle, Friedrich Eisenbrand, Ralf WimmerBDDs in a Branch & Cut Framework 2005 Int'l Workshop on Efficient and Experimental Algorithms , Springer Verlag, Band : 3503, Seiten : 452 - 463» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung Branch & Cut is today's state-of-the-art method to solve 0/1-integer linear programs. Important for the success of this method is the generation of strong valid inequalities, which tighten the linear programming relaxation of 0/1-IPs and thus allow for early pruning of parts of the search tree.\par In this paper we present a novel approach to generate valid inequalities for 0/1-IPs which is based on Binary Decision Diagrams (BDDs). BDDs are a datastructure which represents 0/1-vectors as paths of a certain acyclic graph. They have been successfully applied in computational logic, hardware verification and synthesis.\par We implemented our BDD cutting plane generator in a branch-and-cut framework and tested it on several instances of the MAX-ONES problem and randomly generated 0/1-IPs. Our computational results show that we have developed competitive code for these problems, on which state-of-the-art MIP-solvers fall short. nach oben zur Jahresübersicht Bernd Becker, Markus Behle, Friedrich Eisenbrand, Martin Fränzle, Marc Herbstritt, Christian Herde, Jörg Hoffmann, Daniel Kröning, Bernhard Nebel, Ilia Polian, Ralf WimmerBounded Model Checking and Inductive Verification of Hybrid Discrete-continuous Systems 2004 GI/ITG/GMM Workshop “Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen” , Shaker Verlag, Seiten : 65 - 75» Kurzfassung anzeigen « Kurzfassung verbergen Kurzfassung We present a concept to significantly advance the state of the art for bounded model checking (BMC) and inductive verification (IV) of hybrid discrete-continuous systems. Our approach combines the expertise of partners coming from different domains, like hybrid systems modeling and digital circuit verification, bounded planning and heuristic search, combinatorial optimization and integer programming. After sketching the overall verification flow we present first results indicating that the combination and tight integration of different verification engines is a first step to pave the way to fully automated BMC and IV of medium to large-scale networks of hybrid automata.