Verification of Business Rules Programs

  • Bruno Berstel-Da Silva

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Context

    1. Front Matter
      Pages 1-1
    2. Bruno Berstel-Da Silva
      Pages 3-17
    3. Bruno Berstel-Da Silva
      Pages 19-30
  3. Rule Programs

    1. Front Matter
      Pages 31-31
    2. Bruno Berstel-Da Silva
      Pages 33-43
    3. Bruno Berstel-Da Silva
      Pages 45-61
    4. Bruno Berstel-Da Silva
      Pages 63-89
  4. A Hoare Logic for Rule Programs

    1. Front Matter
      Pages 91-91
    2. Bruno Berstel-Da Silva
      Pages 93-106
    3. Bruno Berstel-Da Silva
      Pages 107-127
  5. Proof Rules for Rule Programs

    1. Front Matter
      Pages 129-129
    2. Bruno Berstel-Da Silva
      Pages 131-148
    3. Bruno Berstel-Da Silva
      Pages 149-183
    4. Bruno Berstel-Da Silva
      Pages 185-201
    5. Bruno Berstel-Da Silva
      Pages 203-210
  6. Back Matter
    Pages 211-236

About this book


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.


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

Authors and affiliations

  • Bruno Berstel-Da Silva
    • 1
  1. 1.Software Engineering groupUniversity of FreiburgFreiburgGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-40037-7
  • Online ISBN 978-3-642-40038-4
  • Buy this book on publisher's site