Model checking active networks with SPIN

被引:2
作者
Gallardo, MD [1 ]
Martínez, J [1 ]
Merino, P [1 ]
机构
[1] Univ Malaga, Dpto Lenguajes & Ciencias Computac, Malaga 29071, Spain
关键词
active networks; formal specification; simulation; testing; model checking; SPIN;
D O I
10.1016/j.comcom.2004.08.006
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent advances in languages and execution environments (EEs) for active networks make it now possible to develop applications with this new exciting approach. In particular, active networks have proven to be very suitable for multicast services. Nevertheless, to open the network nodes to the code written by users requires the use of analysis techniques to avoid the degradation of the network performance. Model checking is one of the most powerful techniques to ensure software reliability. This technique has been successfully applied to many protocols developed with the classic (non-active) approach. Our aim is to extend its application to the area of active protocols. The paper consists of two main contributions: (a) a clear scheme to use the language PROMELA in order to formalize different elements in the active service (network EE, capsules and user applications) and (b) the practical (and successful) application of the approach to analyze an active multicast protocol using the model checker SPIN. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:609 / 622
页数:14
相关论文
共 50 条
  • [31] Preface of the special issue on Model Checking of SoftwareSelected papers of the 20th International SPIN Symposium on Model Checking of Software
    Ezio Bartocci
    C. R. Ramakrishnan
    International Journal on Software Tools for Technology Transfer, 2016, 18 : 355 - 357
  • [32] A Probabilistic Model Checking Analysis of a Realistic Vehicular Networks Mobility Model
    Ferreira, Bruno
    Braz, Fernando A. F.
    Campos, Sergio V. A.
    FORMAL METHODS: FOUNDATIONS AND APPLICATIONS, SBMF 2014, 2015, 8941 : 113 - 129
  • [33] Model checking multi-level and recursive nets
    Fernandez Venero, Mirtha Lina
    Correa da Silva, Flavio Soares
    SOFTWARE AND SYSTEMS MODELING, 2017, 16 (04) : 1117 - 1144
  • [34] Incremental Bounded Model Checking of Artificial Neural Networks in CUDA
    Sena, Luiz H.
    Bessa, Iury, V
    Gadelha, Mikhail R.
    Cordeiro, Lucas C.
    Mota, Edjard
    2019 IX BRAZILIAN SYMPOSIUM ON COMPUTING SYSTEMS ENGINEERING (SBESC), 2019,
  • [35] Preface of the special issue on Model Checking of Software Selected papers of the 20th International SPIN Symposium on Model Checking of Software
    Bartocci, Ezio
    Ramakrishnan, C. R.
    INTERNATIONAL JOURNAL ON SOFTWARE TOOLS FOR TECHNOLOGY TRANSFER, 2016, 18 (04) : 355 - 357
  • [36] Verifying ReLU Neural Networks from a Model Checking Perspective
    Wan-Wei Liu
    Fu Song
    Tang-Hao-Ran Zhang
    Ji Wang
    Journal of Computer Science and Technology, 2020, 35 : 1365 - 1381
  • [37] Model Checking an Artificial Neural Networks System in Medical Diagnosis
    Yin, Shanghui
    Xing, Renzhi
    Liu, Xiangqi
    Yi, Yinhui
    Zheng, Kai
    Huang, Xin
    2018 NINTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY IN MEDICINE AND EDUCATION (ITME 2018), 2018, : 852 - 856
  • [39] Increasing Usability of Spin-Based C Code Verification using a Harness Definition Language: Leveraging Model-Driven Code Checking to Practitioners
    Ratiu, Daniel
    Ulrich, Andreas
    SPIN'17: PROCEEDINGS OF THE 24TH ACM SIGSOFT INTERNATIONAL SPIN SYMPOSIUM ON MODEL CHECKING OF SOFTWARE, 2017, : 60 - 69
  • [40] Verifying ReLU Neural Networks from a Model Checking Perspective
    Liu, Wan-Wei
    Song, Fu
    Zhang, Tang-Hao-Ran
    Wang, Ji
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2020, 35 (06) : 1365 - 1381