Test Automation with the Gauge Framework: Experience and Best Practices

Garousi, Vahid; Keleş, Alper Buğra; Balaman, Yunus; Güler, Zeynep Özdemir

doi:10.1007/978-3-030-58802-1_33

Cited by 2 publications

(5 citation statements)

References 15 publications

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“…This paper's weakness is that it solely appearance at some forms of activity models, ignoring others who appreciate FSM, EFSM, directed and undirected graphs, and algorithms that we cowl in our overview [1]. The benefits of model-based testing are that it increases detection of faults, advanced test case design can systematically approach requirement coverage, intangible benefits [28]. Different examinations show the significance of website application testing.…”

Section: Discussionmentioning

confidence: 99%

“…The following tools are used for MBT web application: Test modeller, test optimal, Tricentis Tosca, SpecExplorer, Graph walker, NModel, Tcases, ModBat, MoMuT, Crawljax [28].…”

Section: ) Question 2 Assessment What Type Of Test Models and Tools H...mentioning

confidence: 99%

“…Experienced team members review on a regular basis and inspection was our technique for quality assurance of model-based testing models. Still, design patterns are needed for this ambition to help the testers for MBT design to develop good quality MBT models [28].…”

Section: ) Question 3 Assessment What Are the Challenges And Gaps Of ...mentioning

confidence: 99%

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Model-Based Testing of Web Application: An SLR

Farooq,

AREEJ

2021

VFAST trans. softw. eng.

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Website applications surpass system-based applications because they are nature friendly and installation free. Additionally, model-based testing is more beneficial under website applications as it saves time and money. Moreover, it detects fault lines at a higher speed. With the commencement of web application testing and model-based testing, various tools and models have been introduced in the domain of web application. In this milieu, systematical identification got significant importance to analyze MBT. To analyze the MBT, articles published between the years 2000 to 2022 are collected. From the total of 6115 papers are analyzed and 43 papers are selected. The presented SLR of MBT for the web application presents a comprehensive review of all the models and tools proposed in the literature. Furthermore, the taxonomy is defined about the models and steps followed in MBT. Lastly, the challenges and gaps are addressed. Hence, it is also helpful for researchers to avert the obstacles in the field of MBT for website applications.

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Section: Discussionmentioning

confidence: 99%

“…The following tools are used for MBT web application: Test modeller, test optimal, Tricentis Tosca, SpecExplorer, Graph walker, NModel, Tcases, ModBat, MoMuT, Crawljax [28].…”

Section: ) Question 2 Assessment What Type Of Test Models and Tools H...mentioning

confidence: 99%

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Model-Based Testing of Web Application: An SLR

Farooq,

AREEJ

2021

VFAST trans. softw. eng.

View full text Add to dashboard Cite

show abstract

“…Before introducing MBT, the SUT (Testinium) was tested automatically using a BDD test framework named Gauge (gauge.org), in which test scrips were written in natural language (mostly Turkish, but English would also be possible), and then Selenium code was developed to map those test scripts to Java commands to exercise the SUT. We have reported details of that other project in another recent paper (Garousi et al, 2020b). For the interested reader, we show an example of a Gauge test-script for the same SUT (Testinium) in Table 5.…”

Section: Improved Test-case Design Practices Due To Mbtmentioning

confidence: 99%

“…To provide the larger context of the work reported in this paper, let us note that MBT is only one of the work-packages of the TESTOMAT project, and in the industrial context of the subject company (Testinium A.Ş. ), several other test automation innovation have also been conducted and published as recent papers, e.g., experience reports and a set of innovative best practices for executable natural-language test specifications using a test tool called Gauge (gauge.org) were published in Garousi et al (2020b) and Garousi et al (2019).…”

Section: Introductionmentioning

confidence: 99%