Citation for published version (APA): Osama, M., & Wijs, A. (2019). Parallel SAT simplification on GPU architectures. In L. Zhang, & T. Vojnar (Eds.), Tools and Algorithms for the Construction and Analysis of Systems 25th International Conference, TACAS 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Proceedings (pp. 21-40). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11427 LNCS). Springer. https://doi.org/10.1007/978-3030-17462-0_2

Tools and Algorithms for the Construction and Analysis of Systems: 22nd International Conference, TACAS 2016 held as part of the european joint conferences on theory and practice of software, ETAPS 2016 Eindhoven, The Netherlands, April 2-8, 2016 proceedings

Over the last 15 years Runtime Verification (RV) has grown into a diverse and active field, which has stimulated the development of numerous theoretical frameworks and tools. Many of the tools are at first sight very different and challenging to compare. Yet, there are similarities. In this work, we classify RV tools within a high-level taxonomy of concepts. We first present this taxonomy and discuss the different dimensions. Then, we survey RV tools and classify them according to the taxonomy. This paper constitutes a snapshot of the current state of the art and enables a comparison of existing tools.

/pdf/a-taxonomy-for-classifying-runtime-verification-tools-3p8nwj60vv.pdf

A Taxonomy for Classifying Runtime Verification Tools

We report on the Third International Competition on Runtime Verification (CRV-2016). The competition was held as a satellite event of the 16th International Conference on Runtime Verification (RV’16). The competition consisted of two tracks: offline monitoring of traces and online monitoring of Java programs. The intention was to also include a track on online monitoring of C programs but there were too few participants to proceed with this track. This report describes the format of the competition, the participating teams, the submitted benchmarks and the results. We also describe our experiences with transforming trace formats from other tools into the standard format required by the competition and report on feedback gathered from current and past participants and use this to make suggestions for the future of the competition.

/pdf/third-international-competition-on-runtime-verification-crv-2zufvweuqz.pdf

Third International Competition on Runtime Verification CRV 2016

Over the last 20 years, runtime verification (RV) has grown into a diverse and active field, which has stimulated the development of numerous theoretical frameworks and practical tools. Many of the tools are at first sight very different and challenging to compare. Yet, there are similarities. In this work, we classify RV tools within a high-level taxonomy of concepts. We first present this taxonomy and discuss its different dimensions. Then, we survey the existing RV tools and, where possible with the support of tool authors, classify them according to the taxonomy. While the classification continually evolves, this article presents a snapshot with 60 state-of-the-art RV tools. We believe that this work is an important step in establishing a common terminology in RV and enabling a meaningful comparison of existing RV tools.

/pdf/a-taxonomy-for-classifying-runtime-verification-tools-9y1bqdh02i.pdf

A taxonomy for classifying runtime verification tools

Software model checking as well as runtime verification are verification techniques which are widely used for checking temporal properties of software systems. Even though they are property verification techniques, their common usage in practice is in "bug finding", that is, finding violations of temporal properties. Motivated by this observation and leveraging the recent progress in fuzzing, we build a greybox fuzzing framework to find violations of Linear-time Temporal Logic (LTL) properties. 

/pdf/linear-time-temporal-logic-guided-greybox-fuzzing-2vk18gu2.pdf

Linear-time temporal logic guided greybox fuzzing

This paper is concerned with runtime verification of object-oriented software system. We propose a novel algorithm for monitoring the individual behaviour and interaction of an unbounded number of runtime objects. This allows for evaluating complex correctness properties that take runtime data in terms of object identities into account. In particular, the underlying formal model can express hierarchical interdependencies of individual objects. Currently, the most efficient monitoring approaches for such properties are based on lookup tables. In contrast, the proposed algorithm uses union-find data structures to manage individual instances and thereby accomplishes a significant performance improvement. The time complexity bounds of the very efficient operations on union-find structures transfer to our monitoring algorithm: the execution time of a single monitoring step is guaranteed logarithmic in the number of observed objects. The amortised time is bound by an inverse of Ackermann's function. We have implemented the algorithm in our monitoring tool Mufin. Benchmarks show that the targeted class of properties can be monitored extremely efficient and runtime overhead is reduced substantially compared to other tools.

/pdf/runtime-monitoring-with-union-find-structures-33ivgd8wut.pdf

Runtime Monitoring with Union-Find Structures

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Runtime Monitoring with Union-Find Structures