Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14545
Title: | Testing Self-Similar Networks |
Authors: | Djouvas, Constantinos Griffeth, Nancy D. Lynch, Nancy A. |
Major Field of Science: | Social Sciences |
Field Category: | Media and Communications |
Keywords: | I/O automata;model-checking;parameterized processes;Testing;verification |
Issue Date: | 31-Oct-2006 |
Source: | Electronic Notes in Theoretical Computer Science, Volume 164, Issue 4 SPEC. ISS., 31 October 2006, Pages 67-82 |
Journal: | Electronic Notes in Theoretical Computer Science |
Abstract: | A hard problem in network testing is verifying the correctness of a class of networks, as well as the actual networks under test. In practice, at most a few networks (sometimes only one) are actually tested. Thus an important question is how to select one or more networks that are sufficiently representative to apply the results to a class of networks. We present a model-based technique for selecting a representative network. The central theorem establishes that the representative network displays any faults present in any network of the class. This paper introduces the concept of "self-similarity," which is used to select the network, and presents the results of an experiment in testing one class of networks. © 2006. |
URI: | https://hdl.handle.net/20.500.14279/14545 |
ISSN: | 15710661 |
DOI: | 10.1016/j.entcs.2006.09.007 |
Type: | Article |
Affiliation : | City University of New York Massachusetts Institute of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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