Business Rules

Halle, Barbara von; Sandifer, Alice

doi:10.1201/9781420031560.ch9

Cited by 9 publications

(3 citation statements)

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“…A business rule (Amghar Y., Meziane M., Flory A. 2000) is a statement that defines or constrains some aspects of the business (Von Halle, B. 2001).…”

Section: Business Rulementioning

confidence: 99%

A Tree-Based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets

Le-Khac

Markos

Kechadi

2012

International Journal of Business Intelligence Research

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Net Asset Value (NAV) calculation and validation is the principle task of a fund administrator. If the NAV of a fund is calculated incorrectly then there is huge impact on the fund administrator; such as monetary compensation, reputational loss, or loss of business. In general, these companies use the same methodology to calculate the NAV of a fund, however the type of fund in question dictates the set of business rules used to validate this. Today, most Fund Administrators depend heavily on human resources due to the lack of an automated standardized solutions, however due to economic climate and the need for efficiency and costs reduction many banks are now looking for an automated solution with minimal human interaction; i.e., straight through processing (STP). Within the scope of a collaboration project that focuses on building an optimal solution for NAV validation, in this paper, we will present a new approach for detecting correlated business rules. We also show how we evaluate this approach using realworld financial data.

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“…A business rule (Amghar Y., Meziane M., Flory A. 2000) is a statement that defines or constrains some aspects of the business (Von Halle, B. 2001).…”

Section: Business Rulementioning

confidence: 99%

A Tree-Based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets

Le-Khac

Markos

Kechadi

2012

International Journal of Business Intelligence Research

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“…From the implementation perspective, all rules can be classified to (Valatkaite and Vasilecas 2004;von Halle 2002):…”

Section: Theoretical Background and Related Work On Business Rule And...mentioning

confidence: 99%

Ontology Axioms for the Implementation of Business Rules / Ontologija Grindžiamas Verslo Taisyklių Modeliavimas

Kalibatiene

Vasilecas

2010

Technological and Economic Development of Economy

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Modern information systems (IS) have widely penetrated into many kinds of social activities by helping to perform business operations and to interact with the surrounding environment. Since business is under jurisdiction of government's laws, business mission and polices, guidelines and other documents, these business restrictions should be implemented in a business supporting IS and effectively managed. A business rule approach is widely accepted in IS community as a way to express different types of business restrictions and constrain operation of components of an IS. Nowadays, there are number of methods and approaches to extract, define and implement business rules. However, there is no a commonly accepted standard for their modelling. In this paper an ontology‐based method for business rules modelling and implementation in the software of IS is presented. It allows to automate the transformation of rules from ontology to the software level and to reduce the cost of rules implementation and likelihood of errors. A case study is described in the paper also. Santrauka Pastaruoju metu informacines sistemos (IS) plačiai naudojamos įvairiose srityse verslo procesams valdyti. Verslo procesai ribojami ivairių taisyklių, apibrežiamų įstatymais ir teisės aktais, verslo politikos ir tikslų. Todel šios taisykles turi būti efektyviai igyvendintos ir valdomos verslą palaikančiose IS. Verslo taisyklių sąvoka plačiai pripažinta IS bendruomenėje kaip būdas išreikšti verslo ribojimus ir suvaržyti IS komponentus. Šiuo metu pasiūlyta nemažai metodu verslo taisyklėms išgauti iš dalykinės srities, apibrežti, modeliuoti ir igyvendinti. Tačiau ne vienas iš esamų metodų nėra pripažintas standartu, nes verslo taisyklių išgavimas, modeliavimas ir įgyvendinimas nėra trivialus uždavinys. Straipsnyje siūloma ontologija grindžiamas metodas verslo taisyklėms modeliuoti. Šis metodas leidžia automatizuoti verslo taisyklių įgyvendinimą, tam panaudojus ontologijoje apibrėžtas dalykines srities žinias. Straipsnyje pateiktas pavyzdys, kai siūlomas metodas pritaikomas dėstytojų kvalifikaciniams reikalavimams įgyvendinti aktyviu duomenų bazių valdymo sistemu SQL trigeriais.

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“…To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. software applications with rule-based knowledge advocate making the knowledge explicit, separating it from the other application functionality, and anticipating frequent changes [31,29,15]. In other words, a crucial requirement is loose coupling between rule-based knowledge and other application functionality.…”

Section: Introductionmentioning

confidence: 99%

Hybrid aspects for weaving object-oriented functionality and rule-based knowledge

D’Hondt

Jonckers

2004

Proceedings of the 3rd International Conference on Aspect-Oriented Software Development

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System and Software Engineering LabVrije Universiteit Brussel Maja.D'Hondt @vub.ac.be Viviane Jonckers System and Software Engineering LabVrije Universiteit Brussel Viviane.Jonckers@vub.ac.be ABSTRACT Software applications often consist of implicit knowledge for making decisions or giving advice in addition to objectoriented functionality. A rule-based system can be employed for representing and reasoning with this knowledge. Although several hybrid systems exist that combine objectoriented programming and rule-based reasoning, a survey we conducted reveals that both paradigms are not well integrated and programs are tightly coupled.We propose hybrid aspects for integrating object-oriented programming and rule-based reasoning. As expected, hybrid aspects specify join points where normal execution is interrupted and advice is executed. However, since two different languages are involved, we need join point models for both and advice that activates both. As such, we complement a simple join point model for object-oriented programming with a join point model for rule-based reasoning. Hybrid advice is independent of the interrupted language and sup-ports sending messages as well as activating rules. It uses values of either language transparently.We present OReA, an implementation of hybrid aspects for weaving Smalltalk and a rule-based system. We discuss and illustrate two applications of hybrid aspects.

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Business Rules

Cited by 9 publications

References 0 publications

A Tree-Based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets

A Tree-Based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets

Ontology Axioms for the Implementation of Business Rules / Ontologija Grindžiamas Verslo Taisyklių Modeliavimas

Hybrid aspects for weaving object-oriented functionality and rule-based knowledge

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