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A framework for multi-notation, model-oriented requirements analysis Day, Nancy Ann
Abstract
This dissertation addresses the problem of how to bring the benefits of formal analysis to the changing world of multi-notation requirements specifications. We show that direct use of the formal operational semantics for notations in higher-order logic produces an extensible, systematic and rigorous approach to solving this problem. Our approach achieves the desired qualities without requiring theorem proving infrastructure. We concentrate on model-oriented notations that use uninterpreted constants to filter non-essential details. A key contribution is the de-coupling of notation from analysis technique. We use type checking to regulate combinations of notations. Specifications are represented using embeddings that package the meaning of the notation with its syntax. We demonstrate our approach using combinations of the following three notations: statecharts, decision tables, and higher-order logic. We introduce a new automatic technique called symbolic functional evaluation (SFE) to evaluate semantic functions outside of a theorem proving environment. SFE produces the meaning of a specification. Direct use of the semantics ensures that the same meaning for a specification is used by all types of analysis. SFE extends the technique of lazy evaluation to handle uninterpreted constants. We focus on the binary decision diagram (BDD)-based analysis techniques of completeness and consistency checking of tables, simulation, and symbolic model checking. To bridge the gap between higher-order logic and automated analysis techniques, we create a toolkit of common techniques, such as Boolean abstraction. We show that information contained in the structure of a specification can be used to supplement BDD-based analysis approaches by producing a more precise abstraction of the specification. The partition of a numeric value specified by entries in a row of a table provides information on how to encode numeric values in a BDD. Our approach is demonstrated by the specification and analysis of two large real-world systems: a separation minima for aircraft and the Aeronautical Telecommunications Network (ATN). In the separation minima example, analysis discovered inconsistencies previously unknown to domain experts. In the ATN example, several errors in the formal-isation process were exposed. In both cases, we achieved the benefits of multiple notations for specification without sacrificing automation in analysis.
Item Metadata
Title |
A framework for multi-notation, model-oriented requirements analysis
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1998
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Description |
This dissertation addresses the problem of how to bring the benefits of formal analysis to
the changing world of multi-notation requirements specifications. We show that direct use
of the formal operational semantics for notations in higher-order logic produces an extensible,
systematic and rigorous approach to solving this problem. Our approach achieves
the desired qualities without requiring theorem proving infrastructure. We concentrate on
model-oriented notations that use uninterpreted constants to filter non-essential details.
A key contribution is the de-coupling of notation from analysis technique.
We use type checking to regulate combinations of notations. Specifications are
represented using embeddings that package the meaning of the notation with its syntax.
We demonstrate our approach using combinations of the following three notations:
statecharts, decision tables, and higher-order logic.
We introduce a new automatic technique called symbolic functional evaluation
(SFE) to evaluate semantic functions outside of a theorem proving environment. SFE
produces the meaning of a specification. Direct use of the semantics ensures that the same
meaning for a specification is used by all types of analysis. SFE extends the technique of
lazy evaluation to handle uninterpreted constants.
We focus on the binary decision diagram (BDD)-based analysis techniques of completeness
and consistency checking of tables, simulation, and symbolic model checking. To
bridge the gap between higher-order logic and automated analysis techniques, we create a toolkit of common techniques, such as Boolean abstraction.
We show that information contained in the structure of a specification can be used
to supplement BDD-based analysis approaches by producing a more precise abstraction
of the specification. The partition of a numeric value specified by entries in a row of a
table provides information on how to encode numeric values in a BDD.
Our approach is demonstrated by the specification and analysis of two large real-world
systems: a separation minima for aircraft and the Aeronautical Telecommunications
Network (ATN). In the separation minima example, analysis discovered inconsistencies
previously unknown to domain experts. In the ATN example, several errors in the formal-isation
process were exposed. In both cases, we achieved the benefits of multiple notations
for specification without sacrificing automation in analysis.
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Extent |
16501464 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-06-19
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0051417
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1998-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.