Using formal methods, a formally specified system is automatically checked to see if it satisfies a specification given in a formal language. Formal methods provide rigorous guarantees about the correctness of a system in contrast to informal testing. Comprehensive verification of designs must, however, incorporate information from other sources, ranging from engineering insight to simulation studies. An integration mechanism is needed to bring together the results of disparate verification efforts and analysis techniques. We refer to this task of amalgamating heterogeneous analysis results as heterogeneous verification.
In this thesis, we present a formal framework for knowledge management and its application to facilitate the task of managing information from heterogeneous analyses. Our approach is built around a formal knowledge base. We develop tools to support heterogeneous verification that build on and extend recent research on ontologies and logic programming. We give a new logic programming language EOLC, which is the logical foundation of our knowledge management tool and give algorithms for inferencing, i.e., evaluating queries, in EOLC and computing abductive explanations in order to augment the knowledge base.
|School:||Carnegie Mellon University|
|School Location:||United States -- Pennsylvania|
|Source:||DAI-B 68/05, Dissertation Abstracts International|
|Subjects:||Electrical engineering, Computer science|
|Keywords:||Embedded systems, Heterogeneous verification|
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