Evolutionary Scriptless Testing

L.V. Hufkens

doi:10.1007/978-3-031-05760-1_55

Evolutionary Scriptless Testing

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

Abstract

Automated scriptless testing approaches use Action Selection Rules (ASR) to generate on-the-fly test sequences when testing a software system. Currently, these rules are manually designed and implemented. In this paper we present our research on how to automatically create ASRs by evolving them using an evolutionary algorithm. Expected results are an automated system for Evolutionary Scriptless Testing containing a representation of ASRs, different fitness functions and manipulation operators.

Original language	English
Title of host publication	Research Challenges in Information Science
Editors	Renata Guizzardi, Jolita Ralyté, Xavier Franch
Place of Publication	Cham
Publisher	Springer International Publishing
Pages	779-785
Number of pages	7
Volume	446
Edition	1
ISBN (Electronic)	978-3-031-05760-1
ISBN (Print)	978-3-031-05760-1
DOIs	https://doi.org/10.1007/978-3-031-05760-1_55
Publication status	Published - 14 May 2022
Event	16th International Conference on Research Challenges in Information Science - Barcelona, Spain Duration: 17 May 2022 → 20 May 2022 https://www.rcis-conf.com/rcis2022/

Publication series

Series	Lecture Notes in Business Information Processing
Volume	446
ISSN	1865-1348

Conference

Conference	16th International Conference on Research Challenges in Information Science
Abbreviated title	RCIS 2022
Country/Territory	Spain
City	Barcelona
Period	17/05/22 → 20/05/22
Internet address	https://www.rcis-conf.com/rcis2022/

Keywords

Automated GUI testing
Evolutionary testing
Scriptless testing

Access to Document

10.1007/978-3-031-05760-1_55

Cite this

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title = "Evolutionary Scriptless Testing",

abstract = "Automated scriptless testing approaches use Action Selection Rules (ASR) to generate on-the-fly test sequences when testing a software system. Currently, these rules are manually designed and implemented. In this paper we present our research on how to automatically create ASRs by evolving them using an evolutionary algorithm. Expected results are an automated system for Evolutionary Scriptless Testing containing a representation of ASRs, different fitness functions and manipulation operators.",

keywords = "Automated GUI testing, Evolutionary testing, Scriptless testing",

author = "L.V. Hufkens",

year = "2022",

month = may,

day = "14",

doi = "10.1007/978-3-031-05760-1_55",

language = "English",

isbn = "978-3-031-05760-1",

volume = "446",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer International Publishing",

pages = "779--785",

editor = "Guizzardi, {Renata } and Ralyt{\'e}, {Jolita } and Franch, {Xavier }",

booktitle = "Research Challenges in Information Science",

address = "Switzerland",

edition = "1",

note = "16th International Conference on Research Challenges in Information Science, RCIS 2022 ; Conference date: 17-05-2022 Through 20-05-2022",

url = "https://www.rcis-conf.com/rcis2022/",

}

Hufkens, LV 2022, Evolutionary Scriptless Testing. in R Guizzardi, J Ralyté & X Franch (eds), Research Challenges in Information Science. 1 edn, vol. 446, Springer International Publishing, Cham, Lecture Notes in Business Information Processing, vol. 446, pp. 779-785, 16th International Conference on Research Challenges in Information Science, Barcelona, Spain, 17/05/22. https://doi.org/10.1007/978-3-031-05760-1_55

Evolutionary Scriptless Testing. / Hufkens, L.V.
Research Challenges in Information Science. ed. / Renata Guizzardi; Jolita Ralyté; Xavier Franch. Vol. 446 1. ed. Cham: Springer International Publishing, 2022. p. 779-785 (Lecture Notes in Business Information Processing, Vol. 446).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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T1 - Evolutionary Scriptless Testing

AU - Hufkens, L.V.

PY - 2022/5/14

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N2 - Automated scriptless testing approaches use Action Selection Rules (ASR) to generate on-the-fly test sequences when testing a software system. Currently, these rules are manually designed and implemented. In this paper we present our research on how to automatically create ASRs by evolving them using an evolutionary algorithm. Expected results are an automated system for Evolutionary Scriptless Testing containing a representation of ASRs, different fitness functions and manipulation operators.

AB - Automated scriptless testing approaches use Action Selection Rules (ASR) to generate on-the-fly test sequences when testing a software system. Currently, these rules are manually designed and implemented. In this paper we present our research on how to automatically create ASRs by evolving them using an evolutionary algorithm. Expected results are an automated system for Evolutionary Scriptless Testing containing a representation of ASRs, different fitness functions and manipulation operators.

KW - Automated GUI testing

KW - Evolutionary testing

KW - Scriptless testing

U2 - 10.1007/978-3-031-05760-1_55

DO - 10.1007/978-3-031-05760-1_55

M3 - Conference Article in proceeding

SN - 978-3-031-05760-1

VL - 446

T3 - Lecture Notes in Business Information Processing

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EP - 785

BT - Research Challenges in Information Science

A2 - Guizzardi, Renata

A2 - Ralyté, Jolita

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CY - Cham

T2 - 16th International Conference on Research Challenges in Information Science

Y2 - 17 May 2022 through 20 May 2022

ER -

Evolutionary Scriptless Testing

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this