Generating interesting scenarios from system descriptions

  • Authors:
  • Kaizhi Yue

  • Affiliations:
  • Univ. of Southern California, Marina del Rey, CA

  • Venue:
  • IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
  • Year:
  • 1988

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Abstract

A formal system specification is often written declaratively, in terms of the properties of the system components. This makes the system description modular and concise. However, this does not make the procedural aspects of the system easily understandable. Here arises the need for automatically generating interesting behavior patterns, specifically, scenarios.This paper is a preliminary report of our research in generating interesting scenarios. We define several types of scenarios of interest and discuss the algorithms for generating them. At the center of the algorithms is a data structure, called “influence graphs,” that reflects how the objects in a system affect one another.