Fuzzy cognitive map for software testing using artificial intelligence techniques

Deane Larkman, Masoud Mohammadian, Bala Balachandran, Ric Jentzsch

Research output: A Conference proceeding or a Chapter in BookChapter

2 Citations (Scopus)

Abstract

This paper discusses a framework to assist test managers to evaluate the use of AI techniques as a potential tool in software testing. Fuzzy Cognitive Maps (FCMs) are employed to evaluate the framework and make decision analysis easier. A what-if analysis is presented that explores the general application of the framework. Simulations are performed to show the effectiveness of the proposed method. The framework proposed is innovative and it assists managers in making efficient decisions.
Original languageEnglish
Title of host publicationIFIP Advances in Information and Communication Technology
PublisherSpringer
Pages328-335
Number of pages8
ISBN (Print)364216238X
DOIs
Publication statusPublished - 2010

Publication series

NameIFIP Advances in Information and Communication Technology
Volume339 AICT

Fingerprint

Software testing
Artificial intelligence
Managers
Decision theory

Cite this

Larkman, D., Mohammadian, M., Balachandran, B., & Jentzsch, R. (2010). Fuzzy cognitive map for software testing using artificial intelligence techniques. In IFIP Advances in Information and Communication Technology (pp. 328-335). (IFIP Advances in Information and Communication Technology; Vol. 339 AICT). Springer. https://doi.org/10.1007/978-3-642-16239-8_43
Larkman, Deane ; Mohammadian, Masoud ; Balachandran, Bala ; Jentzsch, Ric. / Fuzzy cognitive map for software testing using artificial intelligence techniques. IFIP Advances in Information and Communication Technology. Springer, 2010. pp. 328-335 (IFIP Advances in Information and Communication Technology).
@inbook{9b46509844d74dec971e34958bb8fd0f,
title = "Fuzzy cognitive map for software testing using artificial intelligence techniques",
abstract = "This paper discusses a framework to assist test managers to evaluate the use of AI techniques as a potential tool in software testing. Fuzzy Cognitive Maps (FCMs) are employed to evaluate the framework and make decision analysis easier. A what-if analysis is presented that explores the general application of the framework. Simulations are performed to show the effectiveness of the proposed method. The framework proposed is innovative and it assists managers in making efficient decisions.",
keywords = "Fuzzy Cognitive Maps (FCMs), Software testing, What-if Analysis",
author = "Deane Larkman and Masoud Mohammadian and Bala Balachandran and Ric Jentzsch",
year = "2010",
doi = "10.1007/978-3-642-16239-8_43",
language = "English",
isbn = "364216238X",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "328--335",
booktitle = "IFIP Advances in Information and Communication Technology",
address = "Netherlands",

}

Larkman, D, Mohammadian, M, Balachandran, B & Jentzsch, R 2010, Fuzzy cognitive map for software testing using artificial intelligence techniques. in IFIP Advances in Information and Communication Technology. IFIP Advances in Information and Communication Technology, vol. 339 AICT, Springer, pp. 328-335. https://doi.org/10.1007/978-3-642-16239-8_43

Fuzzy cognitive map for software testing using artificial intelligence techniques. / Larkman, Deane; Mohammadian, Masoud; Balachandran, Bala; Jentzsch, Ric.

IFIP Advances in Information and Communication Technology. Springer, 2010. p. 328-335 (IFIP Advances in Information and Communication Technology; Vol. 339 AICT).

Research output: A Conference proceeding or a Chapter in BookChapter

TY - CHAP

T1 - Fuzzy cognitive map for software testing using artificial intelligence techniques

AU - Larkman, Deane

AU - Mohammadian, Masoud

AU - Balachandran, Bala

AU - Jentzsch, Ric

PY - 2010

Y1 - 2010

N2 - This paper discusses a framework to assist test managers to evaluate the use of AI techniques as a potential tool in software testing. Fuzzy Cognitive Maps (FCMs) are employed to evaluate the framework and make decision analysis easier. A what-if analysis is presented that explores the general application of the framework. Simulations are performed to show the effectiveness of the proposed method. The framework proposed is innovative and it assists managers in making efficient decisions.

AB - This paper discusses a framework to assist test managers to evaluate the use of AI techniques as a potential tool in software testing. Fuzzy Cognitive Maps (FCMs) are employed to evaluate the framework and make decision analysis easier. A what-if analysis is presented that explores the general application of the framework. Simulations are performed to show the effectiveness of the proposed method. The framework proposed is innovative and it assists managers in making efficient decisions.

KW - Fuzzy Cognitive Maps (FCMs)

KW - Software testing

KW - What-if Analysis

U2 - 10.1007/978-3-642-16239-8_43

DO - 10.1007/978-3-642-16239-8_43

M3 - Chapter

SN - 364216238X

T3 - IFIP Advances in Information and Communication Technology

SP - 328

EP - 335

BT - IFIP Advances in Information and Communication Technology

PB - Springer

ER -

Larkman D, Mohammadian M, Balachandran B, Jentzsch R. Fuzzy cognitive map for software testing using artificial intelligence techniques. In IFIP Advances in Information and Communication Technology. Springer. 2010. p. 328-335. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-642-16239-8_43