@misc{5549,
  abstract     = {This repository contains the experimental part of the CAV 2015 publication Counterexample Explanation by Learning Small Strategies in Markov Decision Processes.
We extended the probabilistic model checker PRISM to represent strategies of Markov Decision Processes as Decision Trees.
The archive contains a java executable version of the extended tool (prism_dectree.jar) together with a few examples of the PRISM benchmark library.
To execute the program, please have a look at the README.txt, which provides instructions and further information on the archive.
The archive contains scripts that (if run often enough) reproduces the data presented in the publication.},
  author       = {Fellner, Andreas},
  keywords     = {Markov Decision Process, Decision Tree, Probabilistic Verification, Counterexample Explanation},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Experimental part of CAV 2015 publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes}},
  doi          = {10.15479/AT:ISTA:28},
  year         = {2015},
}

@inproceedings{1992,
  abstract     = {We present a method and a tool for generating succinct representations of sets of concurrent traces. We focus on trace sets that contain all correct or all incorrect permutations of events from a given trace. We represent trace sets as HB-Formulas that are Boolean combinations of happens-before constraints between events. To generate a representation of incorrect interleavings, our method iteratively explores interleavings that violate the specification and gathers generalizations of the discovered interleavings into an HB-Formula; its complement yields a representation of correct interleavings.

We claim that our trace set representations can drive diverse verification, fault localization, repair, and synthesis techniques for concurrent programs. We demonstrate this by using our tool in three case studies involving synchronization synthesis, bug summarization, and abstraction refinement based verification. In each case study, our initial experimental results have been promising.

In the first case study, we present an algorithm for inferring missing synchronization from an HB-Formula representing correct interleavings of a given trace. The algorithm applies rules to rewrite specific patterns in the HB-Formula into locks, barriers, and wait-notify constructs. In the second case study, we use an HB-Formula representing incorrect interleavings for bug summarization. While the HB-Formula itself is a concise counterexample summary, we present additional inference rules to help identify specific concurrency bugs such as data races, define-use order violations, and two-stage access bugs. In the final case study, we present a novel predicate learning procedure that uses HB-Formulas representing abstract counterexamples to accelerate counterexample-guided abstraction refinement (CEGAR). In each iteration of the CEGAR loop, the procedure refines the abstraction to eliminate multiple spurious abstract counterexamples drawn from the HB-Formula.},
  author       = {Gupta, Ashutosh and Henzinger, Thomas A and Radhakrishna, Arjun and Samanta, Roopsha and Tarrach, Thorsten},
  isbn         = {978-1-4503-3300-9},
  location     = {Mumbai, India},
  pages        = {433 -- 444},
  publisher    = {ACM},
  title        = {{Succinct representation of concurrent trace sets}},
  doi          = {10.1145/2676726.2677008},
  year         = {2015},
}

@article{10794,
  abstract     = {Mathematical models are of fundamental importance in the understanding of complex population dynamics. For instance, they can be used to predict the population evolution starting from different initial conditions or to test how a system responds to external perturbations. For this analysis to be meaningful in real applications, however, it is of paramount importance to choose an appropriate model structure and to infer the model parameters from measured data. While many parameter inference methods are available for models based on deterministic ordinary differential equations, the same does not hold for more detailed individual-based models. Here we consider, in particular, stochastic models in which the time evolution of the species abundances is described by a continuous-time Markov chain. These models are governed by a master equation that is typically difficult to solve. Consequently, traditional inference methods that rely on iterative evaluation of parameter likelihoods are computationally intractable. The aim of this paper is to present recent advances in parameter inference for continuous-time Markov chain models, based on a moment closure approximation of the parameter likelihood, and to investigate how these results can help in understanding, and ultimately controlling, complex systems in ecology. Specifically, we illustrate through an agricultural pest case study how parameters of a stochastic individual-based model can be identified from measured data and how the resulting model can be used to solve an optimal control problem in a stochastic setting. In particular, we show how the matter of determining the optimal combination of two different pest control methods can be formulated as a chance constrained optimization problem where the control action is modeled as a state reset, leading to a hybrid system formulation.},
  author       = {Parise, Francesca and Lygeros, John and Ruess, Jakob},
  issn         = {2296-665X},
  journal      = {Frontiers in Environmental Science},
  keywords     = {General Environmental Science},
  publisher    = {Frontiers},
  title        = {{Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study}},
  doi          = {10.3389/fenvs.2015.00042},
  volume       = {3},
  year         = {2015},
}

@inproceedings{1729,
  abstract     = {We present a computer-aided programming approach to concurrency. The approach allows programmers to program assuming a friendly, non-preemptive scheduler, and our synthesis procedure inserts synchronization to ensure that the final program works even with a preemptive scheduler. The correctness specification is implicit, inferred from the non-preemptive behavior. Let us consider sequences of calls that the program makes to an external interface. The specification requires that any such sequence produced under a preemptive scheduler should be included in the set of such sequences produced under a non-preemptive scheduler. The solution is based on a finitary abstraction, an algorithm for bounded language inclusion modulo an independence relation, and rules for inserting synchronization. We apply the approach to device-driver programming, where the driver threads call the software interface of the device and the API provided by the operating system. Our experiments demonstrate that our synthesis method is precise and efficient, and, since it does not require explicit specifications, is more practical than the conventional approach based on user-provided assertions.},
  author       = {Cerny, Pavol and Clarke, Edmund and Henzinger, Thomas A and Radhakrishna, Arjun and Ryzhyk, Leonid and Samanta, Roopsha and Tarrach, Thorsten},
  location     = {San Francisco, CA, United States},
  pages        = {180 -- 197},
  publisher    = {Springer},
  title        = {{From non-preemptive to preemptive scheduling using synchronization synthesis}},
  doi          = {10.1007/978-3-319-21668-3_11},
  volume       = {9207},
  year         = {2015},
}

@article{1731,
  abstract     = {We consider two-player zero-sum games on graphs. These games can be classified on the basis of the information of the players and on the mode of interaction between them. On the basis of information the classification is as follows: (a) partial-observation (both players have partial view of the game); (b) one-sided complete-observation (one player has complete observation); and (c) complete-observation (both players have complete view of the game). On the basis of mode of interaction we have the following classification: (a) concurrent (both players interact simultaneously); and (b) turn-based (both players interact in turn). The two sources of randomness in these games are randomness in transition function and randomness in strategies. In general, randomized strategies are more powerful than deterministic strategies, and randomness in transitions gives more general classes of games. In this work we present a complete characterization for the classes of games where randomness is not helpful in: (a) the transition function probabilistic transition can be simulated by deterministic transition); and (b) strategies (pure strategies are as powerful as randomized strategies). As consequence of our characterization we obtain new undecidability results for these games. },
  author       = {Chatterjee, Krishnendu and Doyen, Laurent and Gimbert, Hugo and Henzinger, Thomas A},
  journal      = {Information and Computation},
  number       = {12},
  pages        = {3 -- 16},
  publisher    = {Elsevier},
  title        = {{Randomness for free}},
  doi          = {10.1016/j.ic.2015.06.003},
  volume       = {245},
  year         = {2015},
}

@article{1808,
  author       = {Gupta, Ashutosh and Henzinger, Thomas A},
  journal      = {ACM Transactions on Modeling and Computer Simulation},
  number       = {2},
  publisher    = {ACM},
  title        = {{Guest editors' introduction to special issue on computational methods in systems biology}},
  doi          = {10.1145/2745799},
  volume       = {25},
  year         = {2015},
}

@inproceedings{1835,
  abstract     = {The behaviour of gene regulatory networks (GRNs) is typically analysed using simulation-based statistical testing-like methods. In this paper, we demonstrate that we can replace this approach by a formal verification-like method that gives higher assurance and scalability. We focus on Wagner’s weighted GRN model with varying weights, which is used in evolutionary biology. In the model, weight parameters represent the gene interaction strength that may change due to genetic mutations. For a property of interest, we synthesise the constraints over the parameter space that represent the set of GRNs satisfying the property. We experimentally show that our parameter synthesis procedure computes the mutational robustness of GRNs –an important problem of interest in evolutionary biology– more efficiently than the classical simulation method. We specify the property in linear temporal logics. We employ symbolic bounded model checking and SMT solving to compute the space of GRNs that satisfy the property, which amounts to synthesizing a set of linear constraints on the weights.},
  author       = {Giacobbe, Mirco and Guet, Calin C and Gupta, Ashutosh and Henzinger, Thomas A and Paixao, Tiago and Petrov, Tatjana},
  location     = {London, United Kingdom},
  pages        = {469 -- 483},
  publisher    = {Springer},
  title        = {{Model checking gene regulatory networks}},
  doi          = {10.1007/978-3-662-46681-0_47},
  volume       = {9035},
  year         = {2015},
}

@inproceedings{1836,
  abstract     = {In the standard framework for worst-case execution time (WCET) analysis of programs, the main data structure is a single instance of integer linear programming (ILP) that represents the whole program. The instance of this NP-hard problem must be solved to find an estimate forWCET, and it must be refined if the estimate is not tight.We propose a new framework for WCET analysis, based on abstract segment trees (ASTs) as the main data structure. The ASTs have two advantages. First, they allow computing WCET by solving a number of independent small ILP instances. Second, ASTs store more expressive constraints, thus enabling a more efficient and precise refinement procedure. In order to realize our framework algorithmically, we develop an algorithm for WCET estimation on ASTs, and we develop an interpolation-based counterexample-guided refinement scheme for ASTs. Furthermore, we extend our framework to obtain parametric estimates of WCET. We experimentally evaluate our approach on a set of examples from WCET benchmark suites and linear-algebra packages. We show that our analysis, with comparable effort, provides WCET estimates that in many cases significantly improve those computed by existing tools.},
  author       = {Cerny, Pavol and Henzinger, Thomas A and Kovács, Laura and Radhakrishna, Arjun and Zwirchmayr, Jakob},
  location     = {London, United Kingdom},
  pages        = {105 -- 131},
  publisher    = {Springer},
  title        = {{Segment abstraction for worst-case execution time analysis}},
  doi          = {10.1007/978-3-662-46669-8_5},
  volume       = {9032},
  year         = {2015},
}

@article{1840,
  abstract     = {In this paper, we present a method for reducing a regular, discrete-time Markov chain (DTMC) to another DTMC with a given, typically much smaller number of states. The cost of reduction is defined as the Kullback-Leibler divergence rate between a projection of the original process through a partition function and a DTMC on the correspondingly partitioned state space. Finding the reduced model with minimal cost is computationally expensive, as it requires an exhaustive search among all state space partitions, and an exact evaluation of the reduction cost for each candidate partition. Our approach deals with the latter problem by minimizing an upper bound on the reduction cost instead of minimizing the exact cost. The proposed upper bound is easy to compute and it is tight if the original chain is lumpable with respect to the partition. Then, we express the problem in the form of information bottleneck optimization, and propose using the agglomerative information bottleneck algorithm for searching a suboptimal partition greedily, rather than exhaustively. The theory is illustrated with examples and one application scenario in the context of modeling bio-molecular interactions.},
  author       = {Geiger, Bernhard and Petrov, Tatjana and Kubin, Gernot and Koeppl, Heinz},
  issn         = {0018-9286},
  journal      = {IEEE Transactions on Automatic Control},
  number       = {4},
  pages        = {1010 -- 1022},
  publisher    = {IEEE},
  title        = {{Optimal Kullback-Leibler aggregation via information bottleneck}},
  doi          = {10.1109/TAC.2014.2364971},
  volume       = {60},
  year         = {2015},
}

@article{1832,
  abstract     = {Linearizability of concurrent data structures is usually proved by monolithic simulation arguments relying on the identification of the so-called linearization points. Regrettably, such proofs, whether manual or automatic, are often complicated and scale poorly to advanced non-blocking concurrency patterns, such as helping and optimistic updates. In response, we propose a more modular way of checking linearizability of concurrent queue algorithms that does not involve identifying linearization points. We reduce the task of proving linearizability with respect to the queue specification to establishing four basic properties, each of which can be proved independently by simpler arguments. As a demonstration of our approach, we verify the Herlihy and Wing queue, an algorithm that is challenging to verify by a simulation proof. },
  author       = {Chakraborty, Soham and Henzinger, Thomas A and Sezgin, Ali and Vafeiadis, Viktor},
  journal      = {Logical Methods in Computer Science},
  number       = {1},
  publisher    = {International Federation for Computational Logic},
  title        = {{Aspect-oriented linearizability proofs}},
  doi          = {10.2168/LMCS-11(1:20)2015},
  volume       = {11},
  year         = {2015},
}

@inproceedings{1610,
  abstract     = {The edit distance between two words w1, w2 is the minimal number of word operations (letter insertions, deletions, and substitutions) necessary to transform w1 to w2. The edit distance generalizes to languages L1,L2, where the edit distance is the minimal number k such that for every word from L1 there exists a word in L2 with edit distance at most k. We study the edit distance computation problem between pushdown automata and their subclasses. The problem of computing edit distance to pushdown automata is undecidable, and in practice, the interesting question is to compute the edit distance from a pushdown automaton (the implementation, a standard model for programs with recursion) to a regular language (the specification). In this work, we present a complete picture of decidability and complexity for deciding whether, for a given threshold k, the edit distance from a pushdown automaton to a finite automaton is at most k.},
  author       = {Chatterjee, Krishnendu and Henzinger, Thomas A and Ibsen-Jensen, Rasmus and Otop, Jan},
  booktitle    = {42nd International Colloquium on Automata, Languages, and Programming},
  isbn         = {978-3-662-47665-9},
  location     = {Kyoto, Japan},
  number       = {Part II},
  pages        = {121 -- 133},
  publisher    = {Springer Nature},
  title        = {{Edit distance for pushdown automata}},
  doi          = {10.1007/978-3-662-47666-6_10},
  volume       = {9135},
  year         = {2015},
}

@inproceedings{1657,
  abstract     = {We consider Markov decision processes (MDPs) with multiple limit-average (or mean-payoff) objectives. There exist two different views: (i) ~the expectation semantics, where the goal is to optimize the expected mean-payoff objective, and (ii) ~the satisfaction semantics, where the goal is to maximize the probability of runs such that the mean-payoff value stays above a given vector. We consider optimization with respect to both objectives at once, thus unifying the existing semantics. Precisely, the goal is to optimize the expectation while ensuring the satisfaction constraint. Our problem captures the notion of optimization with respect to strategies that are risk-averse (i.e., Ensure certain probabilistic guarantee). Our main results are as follows: First, we present algorithms for the decision problems, which are always polynomial in the size of the MDP. We also show that an approximation of the Pareto curve can be computed in time polynomial in the size of the MDP, and the approximation factor, but exponential in the number of dimensions. Second, we present a complete characterization of the strategy complexity (in terms of memory bounds and randomization) required to solve our problem. },
  author       = {Chatterjee, Krishnendu and Komárková, Zuzana and Kretinsky, Jan},
  location     = {Kyoto, Japan},
  pages        = {244 -- 256},
  publisher    = {IEEE},
  title        = {{Unifying two views on multiple mean-payoff objectives in Markov decision processes}},
  doi          = {10.1109/LICS.2015.32},
  year         = {2015},
}

@inproceedings{1656,
  abstract     = {Recently there has been a significant effort to handle quantitative properties in formal verification and synthesis. While weighted automata over finite and infinite words provide a natural and flexible framework to express quantitative properties, perhaps surprisingly, some basic system properties such as average response time cannot be expressed using weighted automata, nor in any other know decidable formalism. In this work, we introduce nested weighted automata as a natural extension of weighted automata which makes it possible to express important quantitative properties such as average response time. In nested weighted automata, a master automaton spins off and collects results from weighted slave automata, each of which computes a quantity along a finite portion of an infinite word. Nested weighted automata can be viewed as the quantitative analogue of monitor automata, which are used in run-time verification. We establish an almost complete decidability picture for the basic decision problems about nested weighted automata, and illustrate their applicability in several domains. In particular, nested weighted automata can be used to decide average response time properties.},
  author       = {Chatterjee, Krishnendu and Henzinger, Thomas A and Otop, Jan},
  booktitle    = {Proceedings - Symposium on Logic in Computer Science},
  location     = {Kyoto, Japan},
  publisher    = {IEEE},
  title        = {{Nested weighted automata}},
  doi          = {10.1109/LICS.2015.72},
  volume       = {2015-July},
  year         = {2015},
}

@misc{5436,
  abstract     = {Recently there has been a significant effort to handle quantitative properties in formal verification and synthesis. While weighted automata over finite and infinite words provide a natural and flexible framework to express quantitative properties, perhaps surprisingly, some basic system properties such as average response time cannot be expressed using weighted automata, nor in any other know decidable formalism. In this work, we introduce nested weighted automata as a natural extension of weighted automata which makes it possible to express important quantitative properties such as average response time.
In nested weighted automata, a master automaton spins off and collects results from weighted slave automata, each of which computes a quantity along a finite portion of an infinite word. Nested weighted automata can be viewed as the quantitative analogue of monitor automata, which are used in run-time verification. We establish an almost complete decidability picture for the basic decision problems about nested weighted automata, and illustrate their applicability in several domains. In particular, nested weighted automata can be used to decide average response time properties.},
  author       = {Chatterjee, Krishnendu and Henzinger, Thomas A and Otop, Jan},
  issn         = {2664-1690},
  pages        = {29},
  publisher    = {IST Austria},
  title        = {{Nested weighted automata}},
  doi          = {10.15479/AT:IST-2015-170-v2-2},
  year         = {2015},
}

@inproceedings{2217,
  abstract     = {As hybrid systems involve continuous behaviors, they should be evaluated by quantitative methods, rather than qualitative methods. In this paper we adapt a quantitative framework, called model measuring, to the hybrid systems domain. The model-measuring problem asks, given a model M and a specification, what is the maximal distance such that all models within that distance from M satisfy (or violate) the specification. A distance function on models is given as part of the input of the problem. Distances, especially related to continuous behaviors are more natural in the hybrid case than the discrete case. We are interested in distances represented by monotonic hybrid automata, a hybrid counterpart of (discrete) weighted automata, whose recognized timed languages are monotone (w.r.t. inclusion) in the values of parameters.

The contributions of this paper are twofold. First, we give sufficient conditions under which the model-measuring problem can be solved. Second, we discuss the modeling of distances and applications of the model-measuring problem.},
  author       = {Henzinger, Thomas A and Otop, Jan},
  booktitle    = {Proceedings of the 17th international conference on Hybrid systems: computation and control},
  location     = {Berlin, Germany},
  pages        = {213 -- 222},
  publisher    = {Springer},
  title        = {{Model measuring for hybrid systems}},
  doi          = {10.1145/2562059.2562130},
  year         = {2014},
}

@inproceedings{2218,
  abstract     = {While fixing concurrency bugs, program repair algorithms may introduce new concurrency bugs. We present an algorithm that avoids such regressions. The solution space is given by a set of program transformations we consider in the repair process. These include reordering of instructions within a thread and inserting atomic sections. The new algorithm learns a constraint on the space of candidate solutions, from both positive examples (error-free traces) and counterexamples (error traces). From each counterexample, the algorithm learns a constraint necessary to remove the errors. From each positive examples, it learns a constraint that is necessary in order to prevent the repair from turning the trace into an error trace. We implemented the algorithm and evaluated it on simplified Linux device drivers with known bugs.},
  author       = {Cerny, Pavol and Henzinger, Thomas A and Radhakrishna, Arjun and Ryzhyk, Leonid and Tarrach, Thorsten},
  isbn         = {978-331908866-2},
  location     = {Vienna, Austria},
  pages        = {568 -- 584},
  publisher    = {Springer},
  title        = {{Regression-free synthesis for concurrency}},
  doi          = {10.1007/978-3-319-08867-9_38},
  volume       = {8559},
  year         = {2014},
}

@inproceedings{2239,
  abstract     = {The analysis of the energy consumption of software is an important goal for quantitative formal methods. Current methods, using weighted transition systems or energy games, model the energy source as an ideal resource whose status is characterized by one number, namely the amount of remaining energy. Real batteries, however, exhibit behaviors that can deviate substantially from an ideal energy resource. Based on a discretization of a standard continuous battery model, we introduce battery transition systems. In this model, a battery is viewed as consisting of two parts-the available-charge tank and the bound-charge tank. Any charge or discharge is applied to the available-charge tank. Over time, the energy from each tank diffuses to the other tank. Battery transition systems are infinite state systems that, being not well-structured, fall into no decidable class that is known to us. Nonetheless, we are able to prove that the !-regular modelchecking problem is decidable for battery transition systems. We also present a case study on the verification of control programs for energy-constrained semi-autonomous robots.},
  author       = {Boker, Udi and Henzinger, Thomas A and Radhakrishna, Arjun},
  isbn         = {978-145032544-8},
  location     = {San Diego, USA},
  number       = {1},
  pages        = {595 -- 606},
  publisher    = {ACM},
  title        = {{Battery transition systems}},
  doi          = {10.1145/2535838.2535875},
  volume       = {49},
  year         = {2014},
}

@inproceedings{2167,
  abstract     = {Model-based testing is a promising technology for black-box software and hardware testing, in which test cases are generated automatically from high-level specifications. Nowadays, systems typically consist of multiple interacting components and, due to their complexity, testing presents a considerable portion of the effort and cost in the design process. Exploiting the compositional structure of system specifications can considerably reduce the effort in model-based testing. Moreover, inferring properties about the system from testing its individual components allows the designer to reduce the amount of integration testing. In this paper, we study compositional properties of the ioco-testing theory. We propose a new approach to composition and hiding operations, inspired by contract-based design and interface theories. These operations preserve behaviors that are compatible under composition and hiding, and prune away incompatible ones. The resulting specification characterizes the input sequences for which the unit testing of components is sufficient to infer the correctness of component integration without the need for further tests. We provide a methodology that uses these results to minimize integration testing effort, but also to detect potential weaknesses in specifications. While we focus on asynchronous models and the ioco conformance relation, the resulting methodology can be applied to a broader class of systems.},
  author       = {Daca, Przemyslaw and Henzinger, Thomas A and Krenn, Willibald and Nickovic, Dejan},
  booktitle    = {IEEE 7th International Conference on Software Testing, Verification and Validation},
  isbn         = {978-1-4799-2255-0},
  issn         = {2159-4848},
  location     = {Cleveland, USA},
  publisher    = {IEEE},
  title        = {{Compositional specifications for IOCO testing}},
  doi          = {10.1109/ICST.2014.50},
  year         = {2014},
}

@article{2187,
  abstract     = {Systems should not only be correct but also robust in the sense that they behave reasonably in unexpected situations. This article addresses synthesis of robust reactive systems from temporal specifications. Existing methods allow arbitrary behavior if assumptions in the specification are violated. To overcome this, we define two robustness notions, combine them, and show how to enforce them in synthesis. The first notion applies to safety properties: If safety assumptions are violated temporarily, we require that the system recovers to normal operation with as few errors as possible. The second notion requires that, if liveness assumptions are violated, as many guarantees as possible should be fulfilled nevertheless. We present a synthesis procedure achieving this for the important class of GR(1) specifications, and establish complexity bounds. We also present an implementation of a special case of robustness, and show experimental results.},
  author       = {Bloem, Roderick and Chatterjee, Krishnendu and Greimel, Karin and Henzinger, Thomas A and Hofferek, Georg and Jobstmann, Barbara and Könighofer, Bettina and Könighofer, Robert},
  journal      = {Acta Informatica},
  number       = {3-4},
  pages        = {193 -- 220},
  publisher    = {Springer},
  title        = {{Synthesizing robust systems}},
  doi          = {10.1007/s00236-013-0191-5},
  volume       = {51},
  year         = {2014},
}

@inproceedings{2190,
  abstract     = {We present a new algorithm to construct a (generalized) deterministic Rabin automaton for an LTL formula φ. The automaton is the product of a master automaton and an array of slave automata, one for each G-subformula of φ. The slave automaton for G ψ is in charge of recognizing whether FG ψ holds. As opposed to standard determinization procedures, the states of all our automata have a clear logical structure, which allows for various optimizations. Our construction subsumes former algorithms for fragments of LTL. Experimental results show improvement in the sizes of the resulting automata compared to existing methods.},
  author       = {Esparza, Javier and Kretinsky, Jan},
  pages        = {192 -- 208},
  publisher    = {Springer},
  title        = {{From LTL to deterministic automata: A safraless compositional approach}},
  doi          = {10.1007/978-3-319-08867-9_13},
  volume       = {8559},
  year         = {2014},
}

