Record link: 
http://hdl.handle.net/20.500.12708/30428
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Title: 
Intelligent Test Automation for Improved Software Quality Assurance
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Citation: 
Ugur Tuncer, G., Davutoglu, C., & Durakbasa, M. N. (2021). Intelligent Test Automation for Improved Software Quality Assurance. In N. M. Durakbasa & M. G. Gençyılmaz (Eds.), Digital Conversion on the Way to Industry 4.0 (pp. 614–624). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-62784-3_53
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Publisher DOI: 
10.1007/978-3-030-62784-3_53
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Publication Type: 
Book Contribution - Edited Volume Contribution
en
Authors: 
Ugur Tuncer, Gamze 
Davutoglu, Can 
Durakbasa, M. Numan 
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Organisational Unit: 
E311-01-4 - Forschungsgruppe Fertigungsmesstechnik und adaptronische Systeme 
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Published in: 
Digital Conversion on the Way to Industry 4.0 
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ISBN: 
978-3-030-62783-6
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DOI of the book: 
10.1007/978-3-030-62784-3
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Date (published): 
2021
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Number of Pages: 
11
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Publisher: 
Springer, Schweiz
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Peer reviewed: 
Yes
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Keywords: 
Software testing Quality assurance Intelligent test automation Software life cycle testing End to end testing
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Abstract: 
In the current fast digital transformation projects, with tight timelines, it becomes prudent to increase the quality of digital services and products swiftly. The business partners or customers request further abilities promptly with high quality. Hence, the quality of software is determinant on the market placement. Latest World Quality Reports [1, 2] have stressed that new trends in QA and testing are also formed by this overall rapidity, that is by the concept of so called `Quality at Speed´. Intelligent testing with increasing levels of automation is essential to achieve high quality with reduced time to market. QiTASC´s philosophy is rooted in the passion for creating high-quality testing pipes that help businesses to move away from tedious and time consuming QA activities. This allows the organizations to spend more time optimizing their products and preparing them for the market while their testing is taken care intelligently and efficiently.
en
Research Areas: 
Sensor Systems: 30%
Telecommunication: 30%
Automation and Robotics: 40%
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Science Branch: 
Maschinenbau
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Appears in Collections:
Book Contribution

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