• Corpus ID: 18273779

Decision Support for Business Rules Development and EvolutionDaniela

@inproceedings{Rosca2007DecisionSF,
  title={Decision Support for Business Rules Development and EvolutionDaniela},
  author={Daniela Rosca and Chris Wild and Sol J. Greenspan and Howard B. Reubenstein and Mark D. Feblowitz},
  year={2007}
}
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References

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Telos is a language intended to support the development of information systems based on the premise that information system development is knowledge intensive and that the primary responsibility of any language intended for the task is to be able to formally represent the relevent knowledge.

Evolution and reuse of formal specifications using decision structures

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This paper shows that articulating the decision structure and associating it with the artifact produced can be used in the subsequent evolution of the specification, and proposes a representation which separates domain knowledge into a decision/issue space and an object space and the solution space into object instances, Z schemas and resolved issues.

Process knowledge-based support for systems development

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Requirements engineering using the SOS paradigm

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It is shown that there are advantages to viewing many large, complex systems within the SOS paradigm due to the increasingly service-oriented economy as well as the increased demands for a paradigm for integration of and interoperability between systems across multiple enterprises.

Representing and Using Nonfunctional Requirements: A Process-Oriented Approach

A comprehensive framework for representing and using nonfunctional requirements during the development process is proposed and evidence for the power of the framework is provided through the study of accuracy and performance requirements for information systems.

A decision rationale management system: capturing, reusing, and managing the reasons for decisions

Requirements Modeling: A knowl- edge Representation Approach to Software Require- ments De nition

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Arti cial Intelligence at MIT: Expanding frontiers, volume 1, chapter SIBYL: A Qualita- tive Decision Management System, pages 104{133

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Artiicial Intelligence at MIT: Expanding frontiers, volume 1, chapter SIBYL: A Qualitative Decision Management System, pages 104{133

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