Novelty-Driven Evolutionary Scriptless Testing

Lianne V. Hufkens; Tanja E.J. Vos; Beatriz Marín

doi:10.1007/978-3-031-59468-7_12

Novelty-Driven Evolutionary Scriptless Testing

Lianne V. Hufkens^*, Tanja E.J. Vos, Beatriz Marín

^*Corresponding author for this work

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

Abstract

In recent years, scriptless Graphical User Interface (gui) testing has been positioned as a complement to traditional testing techniques. Automated scriptless GUI testing approaches use Action Selection Rules (asr) to generate on-the-fly test sequences when testing a software system. Currently, random is the standard selection approach in scriptless testing, provoking drawbacks in the testing process, such as test sequences that do not reflect the human strategies for testing, and being unable to deal with multistep tasks. This paper presents an alternate selection approach based on the use of a grammar to design the asr and an Evolutionary Algorithm (ea) with Novelty Search (ns) to direct the evolution process. Preliminary testing shows that the asrs do evolve in the standard ea process. Further research is needed to show the benefits of the additional ns for the testing process.

Original language	English
Title of host publication	Research Challenges in Information Science - 18th International Conference, RCIS 2024, Proceedings
Editors	João Araújo, Jose Luis de la Vara, Maribel Yasmina Santos, Saïd Assar
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	100-108
Number of pages	9
ISBN (Print)	9783031594670
DOIs	https://doi.org/10.1007/978-3-031-59468-7_12
Publication status	Published - 2024
Event	18th International Conference on Research Challenges in Information Science, RCIS 2024. Information Science: Evolution or Revolution? - Guimarães, Portugal Duration: 14 May 2024 → 17 May 2024 https://www.rcis-conf.com/rcis2024/

Publication series

Series	Lecture Notes in Business Information Processing
Volume	514 LNBIP
ISSN	1865-1348

Conference

Conference	18th International Conference on Research Challenges in Information Science, RCIS 2024. Information Science: Evolution or Revolution?
Abbreviated title	RCIS 2024
Country/Territory	Portugal
City	Guimarães
Period	14/05/24 → 17/05/24
Internet address	https://www.rcis-conf.com/rcis2024/

Keywords

Automated GUI testing
Evolutionary testing
Grammar-based testing
Grammatical Evolution
Novelty Search
Scriptless testing

Access to Document

10.1007/978-3-031-59468-7_12

Cite this

Hufkens, L. V., Vos, T. E. J., & Marín, B. (2024). Novelty-Driven Evolutionary Scriptless Testing. In J. Araújo, J. L. de la Vara, M. Y. Santos, & S. Assar (Eds.), Research Challenges in Information Science - 18th International Conference, RCIS 2024, Proceedings (pp. 100-108). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-59468-7_12

Hufkens, Lianne V. ; Vos, Tanja E.J. ; Marín, Beatriz. / Novelty-Driven Evolutionary Scriptless Testing. Research Challenges in Information Science - 18th International Conference, RCIS 2024, Proceedings. editor / João Araújo ; Jose Luis de la Vara ; Maribel Yasmina Santos ; Saïd Assar. Springer Science and Business Media Deutschland GmbH, 2024. pp. 100-108 (Lecture Notes in Business Information Processing, Vol. 514 LNBIP).

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title = "Novelty-Driven Evolutionary Scriptless Testing",

abstract = "In recent years, scriptless Graphical User Interface (gui) testing has been positioned as a complement to traditional testing techniques. Automated scriptless GUI testing approaches use Action Selection Rules (asr) to generate on-the-fly test sequences when testing a software system. Currently, random is the standard selection approach in scriptless testing, provoking drawbacks in the testing process, such as test sequences that do not reflect the human strategies for testing, and being unable to deal with multistep tasks. This paper presents an alternate selection approach based on the use of a grammar to design the asr and an Evolutionary Algorithm (ea) with Novelty Search (ns) to direct the evolution process. Preliminary testing shows that the asrs do evolve in the standard ea process. Further research is needed to show the benefits of the additional ns for the testing process.",

keywords = "Automated GUI testing, Evolutionary testing, Grammar-based testing, Grammatical Evolution, Novelty Search, Scriptless testing",

author = "Hufkens, {Lianne V.} and Vos, {Tanja E.J.} and Beatriz Mar{\'i}n",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 18th International Conference on Research Challenges in Information Science, RCIS 2024. Information Science: Evolution or Revolution?, RCIS 2024 ; Conference date: 14-05-2024 Through 17-05-2024",

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doi = "10.1007/978-3-031-59468-7_12",

language = "English",

isbn = "9783031594670",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Jo{\~a}o Ara{\'u}jo and {de la Vara}, {Jose Luis} and Santos, {Maribel Yasmina} and Sa{\"i}d Assar",

booktitle = "Research Challenges in Information Science - 18th International Conference, RCIS 2024, Proceedings",

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Hufkens, LV , Vos, TEJ & Marín, B 2024, Novelty-Driven Evolutionary Scriptless Testing. in J Araújo, JL de la Vara, MY Santos & S Assar (eds), Research Challenges in Information Science - 18th International Conference, RCIS 2024, Proceedings. Springer Science and Business Media Deutschland GmbH, Lecture Notes in Business Information Processing, vol. 514 LNBIP, pp. 100-108, 18th International Conference on Research Challenges in Information Science, RCIS 2024. Information Science: Evolution or Revolution?, Guimarães, Portugal, 14/05/24. https://doi.org/10.1007/978-3-031-59468-7_12

Novelty-Driven Evolutionary Scriptless Testing. / Hufkens, Lianne V.; Vos, Tanja E.J.; Marín, Beatriz.
Research Challenges in Information Science - 18th International Conference, RCIS 2024, Proceedings. ed. / João Araújo; Jose Luis de la Vara; Maribel Yasmina Santos; Saïd Assar. Springer Science and Business Media Deutschland GmbH, 2024. p. 100-108 (Lecture Notes in Business Information Processing, Vol. 514 LNBIP).

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

TY - GEN

T1 - Novelty-Driven Evolutionary Scriptless Testing

AU - Hufkens, Lianne V.

AU - Vos, Tanja E.J.

AU - Marín, Beatriz

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - In recent years, scriptless Graphical User Interface (gui) testing has been positioned as a complement to traditional testing techniques. Automated scriptless GUI testing approaches use Action Selection Rules (asr) to generate on-the-fly test sequences when testing a software system. Currently, random is the standard selection approach in scriptless testing, provoking drawbacks in the testing process, such as test sequences that do not reflect the human strategies for testing, and being unable to deal with multistep tasks. This paper presents an alternate selection approach based on the use of a grammar to design the asr and an Evolutionary Algorithm (ea) with Novelty Search (ns) to direct the evolution process. Preliminary testing shows that the asrs do evolve in the standard ea process. Further research is needed to show the benefits of the additional ns for the testing process.

AB - In recent years, scriptless Graphical User Interface (gui) testing has been positioned as a complement to traditional testing techniques. Automated scriptless GUI testing approaches use Action Selection Rules (asr) to generate on-the-fly test sequences when testing a software system. Currently, random is the standard selection approach in scriptless testing, provoking drawbacks in the testing process, such as test sequences that do not reflect the human strategies for testing, and being unable to deal with multistep tasks. This paper presents an alternate selection approach based on the use of a grammar to design the asr and an Evolutionary Algorithm (ea) with Novelty Search (ns) to direct the evolution process. Preliminary testing shows that the asrs do evolve in the standard ea process. Further research is needed to show the benefits of the additional ns for the testing process.

KW - Automated GUI testing

KW - Evolutionary testing

KW - Grammar-based testing

KW - Grammatical Evolution

KW - Novelty Search

KW - Scriptless testing

U2 - 10.1007/978-3-031-59468-7_12

DO - 10.1007/978-3-031-59468-7_12

M3 - Conference Article in proceeding

AN - SCOPUS:85193581292

SN - 9783031594670

T3 - Lecture Notes in Business Information Processing

SP - 100

EP - 108

BT - Research Challenges in Information Science - 18th International Conference, RCIS 2024, Proceedings

A2 - Araújo, João

A2 - de la Vara, Jose Luis

A2 - Santos, Maribel Yasmina

A2 - Assar, Saïd

PB - Springer Science and Business Media Deutschland GmbH

T2 - 18th International Conference on Research Challenges in Information Science, RCIS 2024. Information Science: Evolution or Revolution?

Y2 - 14 May 2024 through 17 May 2024

ER -

Hufkens LV , Vos TEJ, Marín B. Novelty-Driven Evolutionary Scriptless Testing. In Araújo J, de la Vara JL, Santos MY, Assar S, editors, Research Challenges in Information Science - 18th International Conference, RCIS 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 100-108. (Lecture Notes in Business Information Processing, Vol. 514 LNBIP). doi: 10.1007/978-3-031-59468-7_12

Novelty-Driven Evolutionary Scriptless Testing

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