General application of a decision support framework for software testing using artificial intelligence techniques

被引:0
|
作者
Larkman D. [1 ]
Mohammadian M. [1 ]
Balachandran B. [1 ]
Jentzsch R. [2 ]
机构
[1] Faculty of Information Science and Engineering, University of Canberra, ACT
[2] Business Planning Associates Pty Ltd, ACT
关键词
Decision making - Cognitive systems - Application programs - Artificial intelligence - Decision support systems;
D O I
10.1007/978-3-642-14616-9_5
中图分类号
学科分类号
摘要
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. © Springer-Verlag Berlin Heidelberg 2010.
引用
收藏
页码:53 / 63
页数:10
相关论文
共 50 条
  • [1] General Application of a Decision Support Framework for Software Testing Using Artificial Intelligence Techniques
    Larkman, Deane
    Mohammadian, Masoud
    Balachandran, Bala
    Jentzsch, Ric
    ADVANCES IN INTELLIGENT DECISION TECHNOLOGIES, 2010, 4 : 53 - +
  • [2] Automating and Optimizing Software Testing using Artificial Intelligence Techniques
    Job, Minimol Anil
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (05) : 594 - 602
  • [3] Fuzzy Cognitive Map for Software Testing Using Artificial Intelligence Techniques
    Larkman, Deane
    Mohammadian, Masoud
    Balachandran, Bala
    Jentzsch, Ric
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, 2010, 339 : 328 - +
  • [4] A Framework Using Computational Intelligence Techniques for Decision Support Systems in Medicine
    Davi, C. C. M.
    Silveira, D. S.
    Neto, F. B. Lima
    IEEE LATIN AMERICA TRANSACTIONS, 2014, 12 (02) : 205 - 211
  • [5] OpenCog: A Software Framework for Integrative Artificial General Intelligence
    Hart, David
    Goertzel, Ben
    ARTIFICIAL GENERAL INTELLIGENCE 2008, 2008, 171 : 468 - 472
  • [6] Application of multiple artificial intelligence techniques for an aircraft carrier landing decision support tool
    Richards, RA
    PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 7 - 11
  • [7] APPLICATION OF ARTIFICIAL-INTELLIGENCE TECHNIQUES TO SOFTWARE REUSE
    CLOAREC, JF
    BRUNEAU, L
    FEROLDI, A
    ANNALES DES TELECOMMUNICATIONS-ANNALS OF TELECOMMUNICATIONS, 1989, 44 (5-6): : 317 - 323
  • [8] Temporal Perspective for the Software Testing Decision Support Framework
    Mohammadian, Masoud
    Balachandran, Bala M.
    Larkman, Deane
    INTELLIGENT DECISION TECHNOLOGIES (IDT'2012), VOL 2, 2012, 16 : 125 - 135
  • [9] Using Artificial Intelligence to Support Informed Decision-Making on BRAF Mutation Testing
    Webster, Jennifer
    Ghith, Jennifer
    Penner, Orion
    Lieu, Christopher H.
    Schijvenaars, Bob J. A.
    JCO PRECISION ONCOLOGY, 2024, 8
  • [10] Software Fault Prediction using Artificial Intelligence Techniques
    Haveri, Apeksha
    Suresh, Yeresime
    2017 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL SYSTEMS AND INFORMATION TECHNOLOGY FOR SUSTAINABLE SOLUTION (CSITSS-2017), 2017, : 54 - 60