30 Years of Automated GUI Testing: A Bibliometric Analysis

O. Rodríguez-Valdés; T.E.J. Vos; P.K. Aho; Beatriz Marín

doi:10.1007/978-3-030-85347-1_34

30 Years of Automated GUI Testing: A Bibliometric Analysis

O. Rodríguez-Valdés^*, T.E.J. Vos, P.K. Aho, Beatriz Marín

^*Corresponding author for this work

Department of Computer Science

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

Abstract

Context: Over the last 30 years, GUIs have changed considerably, becoming everyday part of our lives through smart phones and other devices. More complex GUIs and multitude of platforms have increased the challenges when testing software through the GUI. Objective: To visualise how the field of automated GUI testing has evolved by studying the growth of the field; types of publications; influential events, papers and authors; collaboration among authors; and trends on GUI testing. Method: To conduct a bibliometric analysis of automated GUI testing by performing a systematic search of primary studies in Scopus from 1990 to 2020. Results: 744 publications were selected as primary studies. The majority of them were conference papers, the most cited paper was published on 2013, and the most published author has 53 papers. Conclusions: Automated GUI testing has continuously grown. Keywords show that testing applied to mobile interfaces will be the trend in next years, along with the integration of Artificial Intelligence and automated exploration techniques.

Original language	English
Title of host publication	Quality of Information and Communications Technology
Subtitle of host publication	14th International Conference
Editors	Ana C. R. Paiva, Ana Rosa Cavalli, Paula Ventura Martins, Ricardo Pérez-Castillo
Publisher	Springer, Cham
Pages	473-488
Number of pages	16
Edition	1
ISBN (Electronic)	978-3-030-85347-1
ISBN (Print)	978-3-030-85346-4
DOIs	https://doi.org/10.1007/978-3-030-85347-1_34
Publication status	Published - 25 Aug 2021
Event	International Conference on the Quality of Information and Communications Technology - Algarve, Portugal Duration: 8 Sept 2021 → 11 Sept 2021 https://link.springer.com/book/10.1007/978-3-030-85347-1

Publication series

Series	Communications in Computer and Information Science
Volume	1439
ISSN	1865-0929

Conference

Conference	International Conference on the Quality of Information and Communications Technology
Abbreviated title	QUATIC 2021
Country/Territory	Portugal
City	Algarve
Period	8/09/21 → 11/09/21
Internet address	https://link.springer.com/book/10.1007/978-3-030-85347-1

Keywords

Automated testing
SECONDARY analysis
bibliometric
graphical user interface
Graphical user interface
Secondary study
Bibliometric analysis

Access to Document

10.1007/978-3-030-85347-1_34

Cite this

Rodríguez-Valdés, O., Vos, T. E. J., Aho, P. K., & Marín, B. (2021). 30 Years of Automated GUI Testing: A Bibliometric Analysis. In Ana C. R. Paiva, Ana Rosa Cavalli, Paula Ventura Martins, & Ricardo Pérez-Castillo (Eds.), Quality of Information and Communications Technology: 14th International Conference (1 ed., pp. 473-488). Springer, Cham. https://doi.org/10.1007/978-3-030-85347-1_34

Rodríguez-Valdés, O. ; Vos, T.E.J. ; Aho, P.K. et al. / 30 Years of Automated GUI Testing : A Bibliometric Analysis. Quality of Information and Communications Technology: 14th International Conference. editor / Ana C. R. Paiva ; Ana Rosa Cavalli ; Paula Ventura Martins ; Ricardo Pérez-Castillo. 1. ed. Springer, Cham, 2021. pp. 473-488 (Communications in Computer and Information Science, Vol. 1439).

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title = "30 Years of Automated GUI Testing: A Bibliometric Analysis",

abstract = "Context: Over the last 30 years, GUIs have changed considerably, becoming everyday part of our lives through smart phones and other devices. More complex GUIs and multitude of platforms have increased the challenges when testing software through the GUI. Objective: To visualise how the field of automated GUI testing has evolved by studying the growth of the field; types of publications; influential events, papers and authors; collaboration among authors; and trends on GUI testing. Method: To conduct a bibliometric analysis of automated GUI testing by performing a systematic search of primary studies in Scopus from 1990 to 2020. Results: 744 publications were selected as primary studies. The majority of them were conference papers, the most cited paper was published on 2013, and the most published author has 53 papers. Conclusions: Automated GUI testing has continuously grown. Keywords show that testing applied to mobile interfaces will be the trend in next years, along with the integration of Artificial Intelligence and automated exploration techniques.",

keywords = "Automated testing, SECONDARY analysis, bibliometric, graphical user interface, Graphical user interface, Secondary study, Bibliometric analysis",

author = "O. Rodr{\'i}guez-Vald{\'e}s and T.E.J. Vos and P.K. Aho and Beatriz Mar{\'i}n",

year = "2021",

month = aug,

day = "25",

doi = "10.1007/978-3-030-85347-1_34",

language = "English",

isbn = "978-3-030-85346-4",

series = "Communications in Computer and Information Science",

publisher = "Springer, Cham",

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editor = "{Ana C. R. Paiva} and {Ana Rosa Cavalli} and {Paula Ventura Martins} and {Ricardo P{\'e}rez-Castillo}",

booktitle = "Quality of Information and Communications Technology",

edition = "1",

note = "International Conference on the Quality of Information and Communications Technology, QUATIC 2021 ; Conference date: 08-09-2021 Through 11-09-2021",

url = "https://link.springer.com/book/10.1007/978-3-030-85347-1",

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Rodríguez-Valdés, O, Vos, TEJ, Aho, PK & Marín, B 2021, 30 Years of Automated GUI Testing: A Bibliometric Analysis. in Ana C. R. Paiva, Ana Rosa Cavalli, Paula Ventura Martins & Ricardo Pérez-Castillo (eds), Quality of Information and Communications Technology: 14th International Conference. 1 edn, Springer, Cham, Communications in Computer and Information Science, vol. 1439, pp. 473-488, International Conference on the Quality of Information and Communications Technology, Algarve, Portugal, 8/09/21. https://doi.org/10.1007/978-3-030-85347-1_34

30 Years of Automated GUI Testing: A Bibliometric Analysis. / Rodríguez-Valdés, O.; Vos, T.E.J.; Aho, P.K. et al.
Quality of Information and Communications Technology: 14th International Conference. ed. / Ana C. R. Paiva; Ana Rosa Cavalli; Paula Ventura Martins; Ricardo Pérez-Castillo. 1. ed. Springer, Cham, 2021. p. 473-488 (Communications in Computer and Information Science, Vol. 1439).

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

TY - GEN

T1 - 30 Years of Automated GUI Testing

T2 - International Conference on the Quality of Information and Communications Technology

AU - Rodríguez-Valdés, O.

AU - Vos, T.E.J.

AU - Aho, P.K.

AU - Marín, Beatriz

PY - 2021/8/25

Y1 - 2021/8/25

N2 - Context: Over the last 30 years, GUIs have changed considerably, becoming everyday part of our lives through smart phones and other devices. More complex GUIs and multitude of platforms have increased the challenges when testing software through the GUI. Objective: To visualise how the field of automated GUI testing has evolved by studying the growth of the field; types of publications; influential events, papers and authors; collaboration among authors; and trends on GUI testing. Method: To conduct a bibliometric analysis of automated GUI testing by performing a systematic search of primary studies in Scopus from 1990 to 2020. Results: 744 publications were selected as primary studies. The majority of them were conference papers, the most cited paper was published on 2013, and the most published author has 53 papers. Conclusions: Automated GUI testing has continuously grown. Keywords show that testing applied to mobile interfaces will be the trend in next years, along with the integration of Artificial Intelligence and automated exploration techniques.

AB - Context: Over the last 30 years, GUIs have changed considerably, becoming everyday part of our lives through smart phones and other devices. More complex GUIs and multitude of platforms have increased the challenges when testing software through the GUI. Objective: To visualise how the field of automated GUI testing has evolved by studying the growth of the field; types of publications; influential events, papers and authors; collaboration among authors; and trends on GUI testing. Method: To conduct a bibliometric analysis of automated GUI testing by performing a systematic search of primary studies in Scopus from 1990 to 2020. Results: 744 publications were selected as primary studies. The majority of them were conference papers, the most cited paper was published on 2013, and the most published author has 53 papers. Conclusions: Automated GUI testing has continuously grown. Keywords show that testing applied to mobile interfaces will be the trend in next years, along with the integration of Artificial Intelligence and automated exploration techniques.

KW - Automated testing

KW - SECONDARY analysis

KW - bibliometric

KW - graphical user interface

KW - Graphical user interface

KW - Secondary study

KW - Bibliometric analysis

U2 - 10.1007/978-3-030-85347-1_34

DO - 10.1007/978-3-030-85347-1_34

M3 - Conference Article in proceeding

SN - 978-3-030-85346-4

T3 - Communications in Computer and Information Science

SP - 473

EP - 488

BT - Quality of Information and Communications Technology

A2 - Ana C. R. Paiva,

A2 - Ana Rosa Cavalli,

A2 - Paula Ventura Martins,

A2 - Ricardo Pérez-Castillo,

PB - Springer, Cham

Y2 - 8 September 2021 through 11 September 2021

ER -

Rodríguez-Valdés O, Vos TEJ, Aho PK, Marín B. 30 Years of Automated GUI Testing: A Bibliometric Analysis. In Ana C. R. Paiva, Ana Rosa Cavalli, Paula Ventura Martins, Ricardo Pérez-Castillo, editors, Quality of Information and Communications Technology: 14th International Conference. 1 ed. Springer, Cham. 2021. p. 473-488. (Communications in Computer and Information Science, Vol. 1439). doi: 10.1007/978-3-030-85347-1_34

30 Years of Automated GUI Testing: A Bibliometric Analysis

Abstract

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Conference

Keywords

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