University of Oulu

Y. Wang, "Test Automation Maturity Assessment," 2018 IEEE 11th International Conference on Software Testing, Verification and Validation (ICST), Vasteras, 2018, pp. 424-425, https://doi.org/10.1109/ICST.2018.00052

Test automation maturity assessment

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Author: Wang, Yuqing1
Organizations: 1M3S Research Unit, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020042119501
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-04-21
Description:

Abstract

Test automation is becoming critical in software development process. Though it has been widely applied, many are not surprised to find there is the long journey to a mature test automation process. To get continues improvement and achieve or sustain test automation benefits, organizations need to know what factors can lead to mature test automation and how to assess the current maturity level of test automation in order to identify improvement steps. However, the contemporary test maturity models are likely to emphasize more on general testing but fewer details for test automation, and also lack empirical evidence from the industry to validate the statements that indicate maturity levels. To address the above issues, this study aims to examine what factors lead to a mature test automation process and how to assess the maturity level against them.

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ISBN: 978-1-5386-5012-7
ISBN Print: 978-1-5386-5013-4
Pages: 424 - 425
DOI: 10.1109/ICST.2018.00052
OADOI: https://oadoi.org/10.1109/ICST.2018.00052
Host publication: 2018 IEEE 11th International Conference on Software Testing, Verification and Validation (ICST), 9-13 April 2018, Västerås, Sweden
Conference: International Conference on Software Testing, Verification and Validation (ICST)
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: I would like to thank my supervisor Mika Mäntylä and also Testomat consortiums for their support and help in my research.
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