STAR: A tool for analyzing imprecise requirements

John Yen, W. Amos Tiao, Jianwen Yin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Requirement analysis is an important activity in a software development process. Customers usually describe requirements in a natural language, which is often vague. Requirements can be rarely satisfied in a black and white sense. That is, a requirement is usually satisfied to some degree. Existing requirement methodologies are limited in specifying requirements and in supporting tradeoff analysis between the conflicting requirements. A tool support for the requirement process is important since a number of tasks in the requirement process are very time consuming. We describe an on-going project for building a tool that supports requirement specification, trade-off, and analysis. In this tool, we use fuzzy logic to capture the imprecise requirements. Once customers identify some requirement relationships, we are able to infer more implicit relationships between requirements. This functionality is crucial since identification of all requirement relationships is tedious. Moreover, the tool provides the capability of making trade-off between conflicting requirements. We illustrate the tool using a textile spinning frame manufacturing example. The goal of developing such a tool is to automate part of the requirement process such that requirement errors can be reduced in the software development process.

Original languageEnglish (US)
Title of host publication1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages863-868
Number of pages6
ISBN (Print)078034863X, 9780780348639
DOIs
StatePublished - 1998
Event1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 - Anchorage, United States
Duration: May 4 1998May 9 1998

Publication series

Name1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
Volume2

Other

Other1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998
Country/TerritoryUnited States
CityAnchorage
Period5/4/985/9/98

All Science Journal Classification (ASJC) codes

  • Logic
  • Control and Optimization
  • Modeling and Simulation
  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

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