Optimization Techniques for Model Checking Leads-to Properties in a Stratified Way

被引:2
|
作者
Canh Minh Do [1 ]
Phyo, Yati [1 ]
Riesco, Adrian [2 ]
Ogata, Kazuhiro [1 ]
机构
[1] Japan Adv Inst Sci & Technol, 1-8 Asahidai, Nomi, Ishikawa 9231211, Japan
[2] Univ Complutense Madrid, Inst Tecnol Conocimiento, Fac Informat, Madrid, Spain
关键词
Leads-to properties; master-worker model; Maude; parallel model checking; state space explosion; LINEAR TEMPORAL LOGIC; ALGORITHM;
D O I
10.1145/3604610
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We devised the L + 1-layer divide & conquer approach to leads-to model checking (L + 1-DCA2L2MC) and its parallel version, and developed sequential and parallel tools for L + 1-DCA2L2MC. In a temporal logic called UNITY, designed by Chandy and Misra, the leads-to temporal connective plays an important role and many case studies have been conducted in UNITY, demonstrating that many systems requirements can be expressed as leads-to properties. Hence, it is worth dedicating to these properties. Counterexample generation is one of the main tasks in the L + 1-DCA2L2MC technique that can be optimized to improve its running performance. This article proposes a technique to find all counterexamples at once in model checking with a new model checker. Furthermore, layer configuration selection is essential to make the best use of the L + 1-DCA2L2MC technique. This work also proposes an approach to finding a good layer configuration for the technique with an analysis tool. Some experiments are conducted to demonstrate the power and usefulness of the two optimization techniques, respectively. Moreover, our sequential and parallel tools are compared with SPIN and LTSmin model checkers, showing a promising way to mitigate the state space explosion and improve the running performance of model checking when dealing with large state spaces.
引用
收藏
页数:38
相关论文
共 50 条
  • [31] Data Quality through Model Checking Techniques
    Mezzanzanica, Mario
    Boselli, Roberto
    Cesarini, Mirko
    Mercorio, Fabio
    ADVANCES IN INTELLIGENT DATA ANALYSIS X: IDA 2011, 2011, 7014 : 270 - +
  • [32] Reduction Techniques for Model Checking and Learning in MDPs
    Bharadwaj, Suda
    Le Roux, Stephane
    Perez, Guillermo A.
    Topcu, Ufuk
    PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 4273 - 4279
  • [33] Tools and techniques for model checking networked programs
    Artho, Cyrille
    Leungwattanakit, Watcharin
    Hagiya, Masami
    Tanabe, Yoshinori
    PROCEEDINGS OF NINTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING, 2008, : 852 - +
  • [34] Enhancing model checking in verification by AI techniques
    Buccafurri, F
    Eiter, T
    Gottlob, G
    Leone, N
    ARTIFICIAL INTELLIGENCE, 1999, 112 (1-2) : 57 - 104
  • [35] Strengthening Model Checking Techniques With Inductive Invariants
    Cabodi, Gianpiero
    Nocco, Sergio
    Quer, Stefano
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2009, 28 (01) : 154 - 158
  • [36] On the use of model checking techniques for dependability evaluation
    Haverkort, Boudewijn R.
    Hermanns, Holger
    Katoen, Joost-Pieter
    Proceedings of the IEEE Symposium on Reliable Distributed Systems, 2000, : 228 - 237
  • [37] On the use of model checking techniques for dependability evaluation
    Haverkort, BR
    Hermanns, H
    Katoen, JP
    19TH IEEE SYMPOSIUM ON RELIABLE DISTRIBUTED SYSTEMS - PROCEEDINGS, 2000, : 228 - 237
  • [38] Widening techniques for regular tree model checking
    Ahmed Bouajjani
    Tayssir Touili
    International Journal on Software Tools for Technology Transfer, 2012, 14 (2) : 145 - 165
  • [39] Constraint-based infinite model checking and tabulation for stratified CLP
    Charatonik, W
    Mukhopadhyay, S
    Podelski, A
    LOGICS PROGRAMMING, PROCEEDINGS, 2002, 2401 : 115 - 129
  • [40] Memoization in Model Checking for Safety Properties with Multi-Swarm Particle Swarm Optimization
    Kumazawa, Tsutomu
    Takimoto, Munehiro
    Kodama, Yasushi
    Kambayashi, Yasushi
    ELECTRONICS, 2024, 13 (21)