Scriptless Testing at the GUI Level in an Industrial Setting

Hatim Chahim, Mehmet Duran, Tanja E.J. Vos*, Pekka Aho, Nelly Condori Fernandez

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

TESTAR is a traversal-based and scriptless tool for test automation at the Graphical User Interface (GUI) level. It is different from existing test approaches because no test cases need to be defined before testing. Instead, the tests are generated during the execution, on-the-fly. This paper presents an empirical case study in a realistic industrial context where we compare TESTAR to a manual test approach of a web-based application in the rail sector. Both qualitative and quantitative research methods are used to investigate learnability, effectiveness, efficiency, and satisfaction. The results show that TESTAR was able to detect more faults and higher functional test coverage than the used manual test approach. As far as efficiency is concerned, the preparation time of both test approaches is identical, but TESTAR can realize test execution without the use of human resources. Finally, TESTAR turns out to be a learnable test approach. As a result of the study described in this paper, TESTAR technology was successfully transferred and the company will use both test approaches in a complementary way in the future.

Original languageEnglish
Title of host publicationResearch Challenges in Information Science
Subtitle of host publication14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings
EditorsFabiano Dalpiaz, Jelena Zdravkovic, Pericles Loucopoulos
PublisherSpringer
Pages267-284
Number of pages18
ISBN (Electronic)9783030503161
ISBN (Print)9783030503154
DOIs
Publication statusPublished - 2020
Event14th International Conference on Research Challenges in Information Sciences, RCIS 2020 - Limassol, Cyprus
Duration: 23 Sep 202025 Sep 2020

Publication series

NameLecture Notes in Business Information Processing
Volume385 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference14th International Conference on Research Challenges in Information Sciences, RCIS 2020
CountryCyprus
CityLimassol
Period23/09/2025/09/20

Keywords

  • Compare test approaches
  • GUI test automation tools
  • Industrial case study
  • Railway sector
  • Technology transfer
  • TESTAR

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