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Diagnosing interoperability problems...
~
Sqalli, Mohammed Houssaini.
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Diagnosing interoperability problems and debugging models by enhancing constraint satisfaction with case-based reasoning.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Diagnosing interoperability problems and debugging models by enhancing constraint satisfaction with case-based reasoning./
作者:
Sqalli, Mohammed Houssaini.
面頁冊數:
281 p.
附註:
Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1435.
Contained By:
Dissertation Abstracts International63-03B.
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3045339
ISBN:
049359163X
Diagnosing interoperability problems and debugging models by enhancing constraint satisfaction with case-based reasoning.
Sqalli, Mohammed Houssaini.
Diagnosing interoperability problems and debugging models by enhancing constraint satisfaction with case-based reasoning.
- 281 p.
Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1435.
Thesis (Ph.D.)--University of New Hampshire, 2002.
Modeling, Diagnosis, and Model Debugging are the three main areas presented in this dissertation to automate the process of Interoperability Testing of networking protocols. The dissertation proposes a framework that uses the Constraint Satisfaction Problem (CSP) paradigm to define a modeling language and problem solving mechanism for interoperability testing, and uses Case-Based Reasoning (CBR) for debugging interoperability test cases.
ISBN: 049359163XSubjects--Topical Terms:
626642
Computer Science.
Diagnosing interoperability problems and debugging models by enhancing constraint satisfaction with case-based reasoning.
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Modeling, Diagnosis, and Model Debugging are the three main areas presented in this dissertation to automate the process of Interoperability Testing of networking protocols. The dissertation proposes a framework that uses the Constraint Satisfaction Problem (CSP) paradigm to define a modeling language and problem solving mechanism for interoperability testing, and uses Case-Based Reasoning (CBR) for debugging interoperability test cases.
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The dissertation makes three primary contributions: (1) Definition of a new modeling language using CSP and Object-Oriented Programming. This language is simple, declarative, and transparent. It provides a tool for testers to implement models of interoperability test cases. The dissertation introduces the notions of metavariables, metavalues and optional metavariables to improve the modeling language capabilities. It proposes modeling of test cases from test suite specifications that are usually used in interoperability testing performed manually by testers. Test suite specifications are written by organizations or individuals and break down the testing into modules of test cases that make diagnosis of problems more meaningful to testers. (2) Diagnosis of interoperability problems using search supplemented by consistency inference methods in a CSP context to support explanations of the problem solving behavior. These methods are adapted to the OO-based CSP context. Testers can then generate reports for individual test cases and for test groups from a test suite specification. (3) Detection and debugging of incompleteness and incorrectness in CSP models of interoperability test cases. This is done through the integration of two modes of reasoning, namely CBR and CSP. CBR manages cases that store information about updating models as well as cases that are related to interoperability problems where diagnosis fails to generate a useful explanation. For the latter cases, CBR recalls previous similar useful explanations.
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