Bruno Berstel-Da Silva Berstel-Da Silva Verification of Business Rules Programs

Verification of Business Rules Programs

von Bruno Berstel-Da Silva

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Beschreibung

Rules represent a simplified means of programming, congruent with our understanding of human brain constructs. With the advent of business rules management systems, it has been possible to introduce rule-based programming to nonprogrammers, allowing them to map expert intent into code in applications such as fraud detection, financial transactions, healthcare, retail, and marketing. However, a remaining concern is the quality, safety, and reliability of the resulting programs.

This book is on business rules programs, that is, rule programs as handled in business rules management systems. Its conceptual contribution is to present the foundation for treating business rules as a topic of scientific investigation in semantics and program verification, while its technical contribution is to present an approach to the formal verification of business rules programs. The author proposes a method for proving correctness properties for a business rules program in a compositionalway, meaning that the proof of a correctness property for a program is built up from correctness properties for the individual rules—thus bridging a gap between the intuitive understanding of rules and the formal semantics of rule programs. With this approach the author enables rule authors and tool developers to understand, express formally, and prove properties of the execution behavior of business rules programs.

This work will be of interest to practitioners and researchers in the areas of program verification, enterprise computing, database management, and artificial intelligence.


Rules represent a simplified means of programming, congruent with our understanding of human brain constructs. With the advent of business rules management systems, it has been possible to introduce rule-based programming to nonprogrammers, allowing them to map expert intent into code in applications such as fraud detection, financial transactions, healthcare, retail, and marketing. However, a remaining concern is the quality, safety, and reliability of the resulting programs.

 

This book is on business rules programs, that is, rule programs as handled in business rules management systems. Its conceptual contribution is to present the foundation for treating business rules as a topic of scientific investigation in semantics and program verification, while its technical contribution is to present an approach to the formal verification of business rules programs. The author proposes a method for proving correctness properties for a business rules program in a compositional way, meaning that the proof of a correctness property for a program is built up from correctness properties for the individual rules—thus bridging a gap between the intuitive understanding of rules and the formal semantics of rule programs. With this approach the author enables rule authors and tool developers to understand, express formally, and prove properties of the execution behavior of business rules programs.

 

This work will be of interest to practitioners and researchers in the areas of program verification, enterprise computing, database management, and artificial intelligence.


Approach to the formal verification of rule programs as found in business rules management systems Enables rule authors and tool developers to understand, express formally, and prove properties of the execution behavior of business rules programs Interesting for practitioners, researchers and graduate students Includes supplementary material: sn.pub/extras

Autor*in

Bruno Berstel-Da Silva

Themen in »Verification of Business Rules Programs«

AI artificial intelligence business rules business rules management systems correctness database management systems operational semantics program verification semantics software validation verification

Stimmen zu »Verification of Business Rules Programs«

Details

ISBN: 9783642400384
Verlag: Springer Berlin
Erscheinung: 20.12.2013

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