Model-Based Verification: Abstraction Guidelines
Model-Based Verification (MBV) is a systematic approach to finding defects (errors) in software requirements, designs, or code. The approach judiciously incorporates mathematical formalism, in the form of models, to provide a disciplined and logical analysis practice, rather than a "proof of correctness" strategy. This technical note presents a number of abstraction techniques that can be used to build essential models of system behavior in the context of MBV and details a methodology for creating state machine models using those techniques. In building essential models, abstraction is used to hide details and expose the entities, variables, states, and transitions needed to construct a state machine model. Through illustrative examples, this technical note identifies the types of simplifications that are useful and effective and highlights the importance of the perspective in determining what are the important elements to include in an abstracted model.
This report is related to the following area(s) of work:
Performance and DependabilityTechnical Note
CMU/SEI-2002-TN-011
October 2002
Cite This Report
SEI:
Hudak, John; Comella-Dorda, Santiago; Gluch, David; Lewis, Grace; & Weinstock, Charles. Model-Based Verification: Abstraction Guidelines (CMU/SEI-2002-TN-011 ). Software Engineering Institute, Carnegie Mellon University, 2002. http://www.sei.cmu.edu/library/abstracts/reports/02tn011.cfm
IEEE:
J. Hudak, S. Comella-Dorda, D. Gluch, G. Lewis, and C. Weinstock, "Model-Based Verification: Abstraction Guidelines," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Technical Note CMU/SEI-2002-TN-011 , 2002. http://www.sei.cmu.edu/library/abstracts/reports/02tn011.cfm
APA:
Hudak, J., Comella-Dorda, S., Gluch, D., Lewis, G., & Weinstock, C. (2002). Model-Based Verification: Abstraction Guidelines (CMU/SEI-2002-TN-011 ). Retrieved May 22, 2013, from the Software Engineering Institute, Carnegie Mellon University website: http://www.sei.cmu.edu/library/abstracts/reports/02tn011.cfm
CHI:
Hudak, John, Santiago Comella-Dorda, David Gluch, Grace Lewis, and Charles Weinstock. Model-Based Verification: Abstraction Guidelines (CMU/SEI-2002-TN-011 ). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2002. http://www.sei.cmu.edu/library/abstracts/reports/02tn011.cfm
MLA:
Hudak, J., Comella-Dorda, S., Gluch, D., Lewis, G., & Weinstock, C. 2002. Model-Based Verification: Abstraction Guidelines (Technical Report CMU/SEI-2002-TN-011 ). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://www.sei.cmu.edu/library/abstracts/reports/02tn011.cfm
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