Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-319-02444-8_38
Title: CELL: A compositional verification framework
Authors: Ji, K.
Liu, Y.
Lin, S.-W. 
Sun, J.
Dong, J.S. 
Nguyen, T.K.
Issue Date: 2013
Source: Ji, K.,Liu, Y.,Lin, S.-W.,Sun, J.,Dong, J.S.,Nguyen, T.K. (2013). CELL: A compositional verification framework. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8172 LNAI : 474-477. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-319-02444-8_38
Abstract: This paper presents CELL, a comprehensive and extensible framework for compositional verification of concurrent and real-time systems based on commonly used semantic models. For each semantic model, CELL offers three libraries, i.e., compositional verification paradigms, learning algorithms and model checking methods to support various state-of-the-art compositional verification approaches. With well-defined APIs, the framework could be applied to build customized model checkers. In addition, each library could be used independently for verification and program analysis purposes. We have built three model checkers with CELL. The experimental results show that the performance of these model checkers can offer similar or often better performance compared to the state-of-the-art verification tools. © 2013 Springer International Publishing.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/78056
ISBN: 9783319024431
ISSN: 03029743
DOI: 10.1007/978-3-319-02444-8_38
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

43
checked on Feb 16, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.