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pro vyhledávání: '"Keleş, Alper Buğra"'
Context: Test engineers are looking at more ways to test systems more effectively and efficiently. With recent advances in the field of AI (Artificial Intelligence), a large number of AI-powered test automation tools have emerged, which can help make
Externí odkaz:
http://arxiv.org/abs/2409.00411
There are many widely used tools for measuring test-coverage and code-coverage. Test coverage is the ratio of requirements or other non-code artifacts covered by a test suite, while code-coverage is the ratio of source code covered by tests. Almost a
Externí odkaz:
http://arxiv.org/abs/2408.06148
Autor:
Garousi, Vahid, Keleş, Alper Buğra
Alongside software testing education in universities, a great extent of effort and resources are spent on software-testing training activities in industry. For example, there are several international certification schemes in testing, such as those p
Externí odkaz:
http://arxiv.org/abs/2408.06144
In the context of a large software testing company, we have deployed the model-based testing (MBT) approach to take the company's test automation practices to higher levels of maturity /and capability. We have chosen, from a set of open-source/commer
Externí odkaz:
http://arxiv.org/abs/2104.02152
Publikováno v:
Computational Science and Its Applications – ICCSA 2020
While Behavior-driven development (BDD) tools such as Cucumber are powerful tools for automated testing, they have certain limitations. For example, they often enforce strict syntax for test cases, like the “Given-When-Then” format, which may not
Autor:
Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca
The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was