26,098 papers · page 259 of 1,305
Abstract Game-theoretic techniques and equilibria analysis facilitate the design and verification of competitive systems. While algorithmic complexity of equilibria computation has been extensively studied, practical implementation and application of game-theoretic methods is mor…
Abstract lart – llvm abstraction and refinement tool – originates from the divine model-checker [5, 7], in which it was employed as an abstraction toolchain for the llvm interpreter. In this contribution, we present a stand-alone tool that does not need a verification backend but…
Abstract Parity games can be used to represent many different kinds of decision problems. In practice, tools that use parity games often rely on a specification in a higher-order logic from which the actual game can be obtained by means of an exploration. For many of these decisi…
Abstract Graves-CPA is a verification tool which uses algorithm selection to decide an ordering of underlying verifiers to most effectively verify a given program. Graves-CPA represents programs using an amalgam of traditional program graph representations and uses state-of-the-a…
Abstract The validation of violation witnesses is an important step during software verification. It hides false alarms raised by verifiers from engineers, which in turn helps them concentrate on critical issues and improves the verification experience. Until the 2021 edition of …
Abstract Motivated by applications in boolean-circuit design, boolean synthesis is the process of synthesizing a boolean function with multiple outputs, given a relation between its inputs and outputs. Previous work has attempted to solve boolean functional synthesis by convertin…
Abstract GDart is an ensemble of tools allowing dynamic symbolic execution of JVM programs. The dynamic symbolic execution engine is decomposed into three different components: a symbolic decision engine (DSE), a concolic executor (SPouT), and a SMT solver backend allowing meta-s…
Abstract In this paper, we present Forest GUMP (for Generalized, Unifying Merge Process) a tool for providing tangible experience with three concepts of explanation. Besides the well-known model explanation and outcome explanation, Forest GUMP also supports class characterization…
Abstract In multi-agent settings, such as IoT and robotics, it is necessary to coordinate the actions of independent agents in order to achieve a joint behavior. While it is often easy to specify the desired joint behavior, programming the necessary coordination can be difficult.…
Abstract The most scalable approaches to certifying neural network robustness depend on computing sound linear lower and upper bounds for the network’s activation functions. Current approaches are limited in that the linear bounds must be handcrafted by an expert, and can be sub-…
Abstract Runtime verification (RV) enables monitoring systems at runtime, to detect property violations early and limit their potential consequences. This paper presents an end-to-end framework to capture requirements in structured natural language and generate monitors that capt…
Abstract We present , an automated tool designed to measure the level of fault-tolerance provided by software components. The tool focuses on measuring masking fault-tolerance, that is, the kind of fault-tolerance that allows systems to mask faults in such a way that they cannot …
Abstract Linear temporal logic (LTL) is a specification language for finite sequences (called traces) widely used in program verification, motion planning in robotics, process mining, and many other areas. We consider the problem of learning formulas in fragments of LTL without t…
Abstract Augmenting problem variables in a quantified Boolean formula with definition variables enables a compact representation in clausal form. Generally these definition variables are placed in the innermost quantifier level. To restore some structural information, we introduc…
Abstract GPU programs are widely used in industry. To obtain the best performance, a typical development process involves the manual or semi-automatic application of optimizations prior to compiling the code. To avoid the introduction of errors, we can augment GPU programs with (…
Abstract Debugging imperative network programs is a difficult task for operators as it requires understanding various network modules and complicated data structures. For this purpose, this paper presents an automated technique for repairing network programs with respect to unit …
Abstract We follow up on the idea of Lars Arge to rephrase the Reduce and Apply operations of Binary Decision Diagrams (BDDs) as iterative I/O-efficient algorithms. We identify multiple avenues to simplify and improve the performance of his proposed algorithms. Furthermore, we ex…
Abstract We present , a tool that uses neural networks for predicting reachable sets from executions of a dynamical system. Unlike existing reachability tools, computes areachability functionthat outputs an accurate over-approximation of the reachable set foranyinitial set in a p…
Abstract Logic locking “hides” the functionality of a digital circuit to protect it from counterfeiting, piracy, and malicious design modifications. The original design is transformed into a “locked” design such that the circuit reveals its correct functionality only when it is “…
Abstract We present $$L^{\#}$$ L # , a new and simple approach to active automata learning. Instead of focusing on equivalence of observations, like the $$L^{*}$$ L ∗ algorithm and its descendants, $$L^{\#}$$ L # takes a different perspective: it tries to establish apartness, a c…