Methods Of Formal Software Verification In The Context Of Distributed Systems
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2019, PT II: 19TH INTERNATIONAL CONFERENCE, SAINT PETERSBURG, RUSSIA, JULY 1-4, 2019, PROCEEDINGS, PART II（2019）
St Petersburg State Univ
Abstract
This paper discusses several formal verification instruments and compares them. These tools are Isabelle/HOL, Coq, Verdi, and TLA+. All of them are developed for automatic verification of distributed systems. However, there are a number of differences in implementation and application. Verdi provides an effortless way of implementation to verify some distributed systems. Isabelle/HOL and Coq, on the other hand, can solve a wider range of tasks. These provide a low-level interface and require programming skills. TLA+ allows the user to communicate in pseudocode-like language as well as per algorithm implementation in TLA+/PlusCal. It is the most versatile tool for formal verification which is considered in this paper.
MoreTranslated text
Key words
Formal verification, Proof assistant, TLA, Isabelle/HOL, Coq, Verdi, Distributed systems
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined