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General Application of a Decision Support Framework for Software Testing Using Artificial Intelligence Techniques

  • Deane Larkman
  • Masoud Mohammadian
  • Bala Balachandran
  • Ric Jentzsch
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 4)

Abstract

The use of artificial intelligent (AI) techniques for testing software applications has been investigated for over a decade. This paper proposes a framework to assist test managers to evaluate the use of AI techniques as a potential tool to test software. The framework is designed to facilitate decision making and provoke the decision maker into a better understanding of the use of AI techniques as a testing tool. We provide an overview of the framework and its components. Fuzzy Cognitive Maps (FCMs) are employed to evaluate the framework and make decision analysis easier, and therefore help the decision making process about the use of AI techniques to test software. What-if analysis is used to explore and illustrate the general application of the framework.

Keywords

Test Environment Software Test Test Manager Artificial Intelligent Technique Result Vector 
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 Berlin Heidelberg 2010

Authors and Affiliations

  • Deane Larkman
    • 1
  • Masoud Mohammadian
    • 1
  • Bala Balachandran
    • 1
  • Ric Jentzsch
    • 2
  1. 1.Faculty of Information Science and EngineeringUniversity of Canberra, ACTAustralia
  2. 2.Business Planning Associates Pty Ltd, ACTAustralia

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