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Using Artificial Inteligence Techniques to Formalize the Information System Design Process

  • G. Grosz
  • C. Rolland

Abstract

The design of large and complex Information System (IS) is nowadays supported by Computer Assisted Software Engineering (CASE) tools. However, the current generation tools restrict their help to the management of the IS specifications. The goal of more advanced CASE tools is to support effectively designers during the design process itself and the production of the IS specification. The expert design tool OICSI, discussed in this paper, belongs to that perspective. The kernel of OICSI is a knowledge base homogeneously composed of design knowledge triplets. A triplet is a combination of a situation, a decision and an action. In order to define various triplets, we have experimented automatic learning techniques. The paper focuses on the presentation of the triplet notion and the use of learning techniques to find out triplets. Both are exemplified on a precise design task.

Keywords

Conceptual Schema Expert Designer Information System Design Binary Relationship Natural Language Sentence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag/Wien 1990

Authors and Affiliations

  • G. Grosz
    • 1
  • C. Rolland
    • 2
  1. 1.Laboratoire MASIUniversité Pierre et Marie CurieParisFrance
  2. 2.Université Paris 1 - SorbonneParis Cedex 05France

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