000 04061nam a22005295i 4500
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003 RU-ToGU
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007 cr nn 008mamaa
008 160915s2014 gw | s |||| 0|eng d
020 _a9783642400384
_9978-3-642-40038-4
024 7 _a10.1007/978-3-642-40038-4
_2doi
035 _ato000544701
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA76.9.L63
050 4 _aQA76.5913
050 4 _aQA76.63
072 7 _aUM
_2bicssc
072 7 _aUYF
_2bicssc
072 7 _aCOM051000
_2bisacsh
072 7 _aCOM036000
_2bisacsh
082 0 4 _a005.1015113
_223
100 1 _aBerstel-Da Silva, Bruno.
_eauthor.
_9452055
245 1 0 _aVerification of Business Rules Programs
_helectronic resource
_cby Bruno Berstel-Da Silva.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXVII, 236 p. 18 illus., 2 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aChap. 1 - Introduction -- Chap. 2 - Related Work -- Chap. 3 - Syntax of Rules and Rule Programs -- Chap. 4 - States and State Assertions -- Chap. 5 - Operational Semantics of Rule Programs -- Chap. 6 - Correctness of Rule Programs -- Chap. 7 - Correctness of Programs: A Comparison -- Chap. 8 - Main Steps in Rule Program Verification -- Chap. 9 - A Verification Method for Rule Programs -- Chap. 10 - Specialized Proof Rules -- Chap. 11 - Conclusion -- Appendix A - Verification in an Industrial Business Rules Management System -- List of Proof Rules -- Index.                                .
520 _aRules 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.
650 0 _aComputer Science.
_9155490
650 0 _aLogic design.
_9306256
650 0 _aDatabase management.
_9566224
650 0 _aArtificial intelligence.
_9274099
650 1 4 _aComputer Science.
_9155490
650 2 4 _aLogics and Meanings of Programs.
_9306257
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
650 2 4 _aDatabase Management.
_9566226
650 2 4 _aProgramming Techniques.
_9566312
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-40038-4
912 _aZDB-2-SCS
999 _c402212