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相关论文: Reproduction Report for SV-COMP 2023

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Empirical evaluation of verification tools by benchmarking is a common method in software verification research. The Competition on Software Verification (SV-COMP) aims at standardization and reproducibility of benchmarking within the…

计算机科学中的逻辑 · 计算机科学 2019-03-05 Lucas Cordeiro , Daniel Kroening , Peter Schrammel

Software verification competitions, such as the annual SV-COMP, evaluate software verification tools with respect to their effectivity and efficiency. Typically, the outcome of a competition is a (possibly category-specific) ranking of the…

机器学习 · 计算机科学 2017-03-03 Mike Czech , Eyke Hüllermeier , Marie-Christine Jakobs , Heike Wehrheim

The SV-COMP competition provides a state-of-the-art platform for evaluating software verification tools on a standardized set of verification tasks. Consequently, verifier development outcomes are influenced by the composition of program…

软件工程 · 计算机科学 2026-02-05 Charles Moloney , Robert Dyer , Elena Sherman

How many times have you tried to re-implement a past CAV tool paper, and failed? Reliably reproducing published scientific discoveries has been acknowledged as a barrier to scientific progress for some time but there remains only a small…

计算机科学中的逻辑 · 计算机科学 2015-02-10 Tom Crick , Benjamin A. Hall , Samin Ishtiaq

This paper presents a summary and meta-analysis of the first three iterations of the annual International Verification of Neural Networks Competition (VNN-COMP) held in 2020, 2021, and 2022. In the VNN-COMP, participants submit software…

机器学习 · 计算机科学 2025-09-09 Christopher Brix , Mark Niklas Müller , Stanley Bak , Taylor T. Johnson , Changliu Liu

This report summarizes the second International Verification of Neural Networks Competition (VNN-COMP 2021), held as a part of the 4th Workshop on Formal Methods for ML-Enabled Autonomous Systems that was collocated with the 33rd…

计算机科学中的逻辑 · 计算机科学 2021-09-08 Stanley Bak , Changliu Liu , Taylor Johnson

This report summarizes the 6th International Verification of Neural Networks Competition (VNN-COMP 2025), held as a part of the 8th International Symposium on AI Verification (SAIV), that was collocated with the 37th International…

This report summarizes the 5th International Verification of Neural Networks Competition (VNN-COMP 2024), held as a part of the 7th International Symposium on AI Verification (SAIV), that was collocated with the 36th International…

机器学习 · 计算机科学 2024-12-31 Christopher Brix , Stanley Bak , Taylor T. Johnson , Haoze Wu

This report summarizes the 4th International Verification of Neural Networks Competition (VNN-COMP 2023), held as a part of the 6th Workshop on Formal Methods for ML-Enabled Autonomous Systems (FoMLAS), that was collocated with the 35th…

机器学习 · 计算机科学 2023-12-29 Christopher Brix , Stanley Bak , Changliu Liu , Taylor T. Johnson

This report summarizes the 3rd International Verification of Neural Networks Competition (VNN-COMP 2022), held as a part of the 5th Workshop on Formal Methods for ML-Enabled Autonomous Systems (FoMLAS), which was collocated with the 34th…

机器学习 · 计算机科学 2023-02-17 Mark Niklas Müller , Christopher Brix , Stanley Bak , Changliu Liu , Taylor T. Johnson

This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases,…

Context: It has been argued that software engineering replications are useful for verifying the results of previous experiments. However, it has not yet been agreed how to check whether the results hold across replications. Besides, some…

软件工程 · 计算机科学 2020-11-06 Adrian Santos , Sira Vegas , Markku Oivo , Natalia Juristo

Software verification has recently made enormous progress due to the development of novel verification methods and the speed-up of supporting technologies like SMT solving. To keep software verification tools up to date with these advances,…

软件工程 · 计算机科学 2020-08-12 Jan Haltermann , Heike Wehrheim

We report on the last four editions of the reactive synthesis competition (SYNTCOMP 2018-2021). We briefly describe the evaluation scheme and the experimental setup of SYNTCOMP. Then, we introduce new benchmark classes that have been added…

In this paper we reproduce experimental results presented in our earlier work titled "Describing Subjective Experiment Consistency by $p$-Value P-P Plot" that was presented in the course of the 28th ACM International Conference on…

多媒体 · 计算机科学 2022-09-02 Jakub Nawała , Lucjan Janowski , Bogdan Ćmiel , Krzysztof Rusek , Marc A. Kastner , Jan Zahálka

Reproducibility is an important requirement in evolutionary computation, where results largely depend on computational experiments. In practice, reproducibility relies on how algorithms, experimental protocols, and artifacts are documented…

神经与进化计算 · 计算机科学 2026-02-10 Francesca Da Ros , Tarik Začiragić , Aske Plaat , Thomas Bäck , Niki van Stein

The reproduction and replication of research results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the challenges closely revolve around…

软件工程 · 计算机科学 2017-07-31 Tom Crick , Benjamin A. Hall , Samin Ishtiaq

Being able to duplicate published research results is an important process of conducting research whether to build upon these findings or to compare with them. This process is called "replicability" when using the original authors'…

数字图书馆 · 计算机科学 2020-05-07 Nicolas Bonneel , David Coeurjolly , Julie Digne , Nicolas Mellado

We introduce the reactive synthesis competition (SYNTCOMP), a long-term effort intended to stimulate and guide advances in the design and application of synthesis procedures for reactive systems. The first iteration of SYNTCOMP is based on…

Scalable and automatic formal verification for concurrent systems is always demanding. In this paper, we propose a verification framework to support automated compositional reasoning for concurrent programs with shared variables. Our…

形式语言与自动机理论 · 计算机科学 2018-03-28 Fuyuan Zhang , Yongwang Zhao , David Sanan , Yang Liu , Alwen Tiu , Shang-Wei Lin , Jun Sun
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