Axiom Pinpointing

Axiom pinpointing refers to the task of finding the specific axioms in an ontology which are responsible for a consequence to follow. This task has been studied, under different names, in many research areas, leading to a reformulation and reinvention of techniques. In this work, we present a general overview to axiom pinpointing, providing the basic notions, different approaches for solving it, and some variations and applications which have been considered in the literature. This should serve as a starting point for researchers interested in related problems, with an ample bibliography for delving deeper into the details

Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design – FMCAD 2021

The Conference on Formal Methods in Computer-Aided Design (FMCAD) is an annual conference on the theory and applications of formal methods in hardware and system verification. FMCAD provides a leading forum to researchers in academia and industry for presenting and discussing groundbreaking methods, technologies, theoretical results, and tools for reasoning formally about computing systems. FMCAD covers formal aspects of computer-aided system design including verification, specification, synthesis, and testing

Proceedings of the 22nd Conference on Formal Methods in Computer-Aided Design – FMCAD 2022

The Conference on Formal Methods in Computer-Aided Design (FMCAD) is an annual conference on the theory and applications of formal methods in hardware and system verification. FMCAD provides a leading forum to researchers in academia and industry for presenting and discussing groundbreaking methods, technologies, theoretical results, and tools for reasoning formally about computing systems. FMCAD covers formal aspects of computer-aided system design including verification, specification, synthesis, and testing

Proceedings of the 22nd Conference on Formal Methods in Computer-Aided Design – FMCAD 2022

The Conference on Formal Methods in Computer-Aided Design (FMCAD) is an annual conference on the theory and applications of formal methods in hardware and system verification. FMCAD provides a leading forum to researchers in academia and industry for presenting and discussing groundbreaking methods, technologies, theoretical results, and tools for reasoning formally about computing systems. FMCAD covers formal aspects of computer-aided system design including verification, specification, synthesis, and testing

Efficient local search for Pseudo Boolean Optimization

Algorithms and the Foundations of Software technolog

Incremental Satisfiability Solving and its Applications

The propositional logic satisfiability problem (SAT) is a computationally hard decision problem. Despite its theoretical hardness, decision procedures for solving instances of this problem have become surprisingly efficient in recent years. These procedures, known as SAT solvers, are able to solve large instances originating from real-life problem domains, such as artificial intelligence and formal verification. Such real-life applications often require solving several related instances of SAT. Therefore, modern solvers posses an incremental interface that allows the input of sequences of incrementally encoded instances of SAT. When solving these instances sequentially the solver can reuse some of the information it has gathered across related consecutive instances. This dissertation contains six publications. The two focus areas of the combined work are incremental usage of SAT solvers, and the usage of parallelism in applications of SAT solvers. It is shown in this work that these two seemingly contradictory concepts form a natural combination. Moreover, this dissertations unifies, analyzes, and extends the results of the six publications, for example, by studying information propagation in incremental solvers through graphical visualizations. The concrete contributions made by the work in this dissertation include, but are not limited to: Improvements to algorithms for MUS finding, the use of graphical visualizations to understand information propagation in incremental solvers, asynchronous incremental solving, and concurrent clause strengthening

Automated Deduction – CADE 28

This open access book constitutes the proceeding of the 28th International Conference on Automated Deduction, CADE 28, held virtually in July 2021. The 29 full papers and 7 system descriptions presented together with 2 invited papers were carefully reviewed and selected from 76 submissions. CADE is the major forum for the presentation of research in all aspects of automated deduction, including foundations, applications, implementations, and practical experience. The papers are organized in the following topics: Logical foundations; theory and principles; implementation and application; ATP and AI; and system descriptions