Publication:
Automated Driver Management for Selenium WebDriver

Simple item page
dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorGarcía Gutiérrez, Boni
dc.contributor.authorMuñoz Organero, Mario
dc.contributor.authorAlario-Hoyos, Carlos
dc.contributor.authorDelgado Kloos, Carlos
dc.contributor.funderComunidad de Madrides
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.date.accessioned2021-09-22T10:22:15Z
dc.date.available2022-09-01T23:00:05Z
dc.date.issued2021-09
dc.description.abstractSelenium WebDriver is a framework used to control web browsers automatically. It provides a cross-browser Application Programming Interface (API) for different languages (e.g., Java, Python, or JavaScript) that allows automatic navigation, user impersonation, and verification of web applications. Internally, Selenium WebDriver makes use of the native automation support of each browser. Hence, a platform-dependent binary file (the so-called driver) must be placed between the Selenium WebDriver script and the browser to support this native communication. The management (i.e., download, setup, and maintenance) of these drivers is cumbersome for practitioners. This paper provides a complete methodology to automate this management process. Particularly, we present WebDriverManager, the reference tool implementing this methodology. WebDriverManager provides different execution methods: as a Java dependency, as a Command-Line Interface (CLI) tool, as a server, as a Docker container, and as a Java agent. To provide empirical validation of the proposed approach, we surveyed the WebDriverManager users. The aim of this study is twofold. First, we assessed the extent to which WebDriverManager is adopted and used. Second, we evaluated the WebDriverManager API following Clarke’s usability dimensions. A total of 148 participants worldwide completed this survey in 2020. The results show a remarkable assessment of the automation capabilities and API usability of WebDriverManager by Java users, but a scarce adoption for other languages.en
dc.description.sponsorshipThis work has been been supported in part by the "Análisis en tiempo Real de sensores sociALes y EStimación de recursos para transporte multimodal basada en aprendizaje profundo" project (MaGIST-RALES), funded by the Spanish Agencia Estatal de Investigación (AEI, doi 10.13039/501100011033) under grant PID2019-105221RB-C44. This work also received partial support from FEDER/Ministerio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación through project Smartlet (TIN2017-85179-C3-1-R), and from the eMadrid Network, which is funded by the Madrid Regional Government (Comunidad de Madrid) with grant No. S2018/TCS-4307.en
dc.format.extent51
dc.identifier.bibliographicCitationGarcía, B., Munoz-Organero, M., Alario-Hoyos, C. & Kloos, C. D. (2021). Automated driver management for Selenium WebDriver. Empirical Software Engineering, 26(5), 107.en
dc.identifier.doihttps://doi.org/10.1007/s10664-021-09975-3
dc.identifier.issn1382-3256
dc.identifier.publicationfirstpage107
dc.identifier.publicationissue5
dc.identifier.publicationtitleEmpirical Software Engineeringen
dc.identifier.publicationvolume26
dc.identifier.urihttps://hdl.handle.net/10016/33302
dc.identifier.uxxiAR/0000027939
dc.language.isoeng
dc.publisherSpringer Natureen
dc.relation.projectIDComunidad de Madrid. S2018/TCS-4307es
dc.relation.projectIDGobierno de España. PID2019-105221RB-C44es
dc.relation.projectIDGobierno de España. TIN2017-85179-C3-1-Res
dc.rights© 2021, The Author(s), under exclusive licence to Springer Science Business Media, LLC, part of Springer Nature.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherTest automationen
dc.subject.otherTesting toolsen
dc.subject.otherSelenium WebDriveren
dc.titleAutomated Driver Management for Selenium WebDriveren
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Automated_ESE_2021_ps.pdf
Size:
1.34 MB
Format:
Adobe Portable Document Format
Download
Collections
DIT - GAST - Artículos de Revistas