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A taxonomy of metrics for GUI-based testing research: A systematic literature review
R Coppola, E Alégroth - Information and Software Technology, 2022 - Elsevier
Context: GUI-based testing is a sub-field of software testing research that has emerged in
the last three decades. GUI-based testing techniques focus on verifying the functional …
the last three decades. GUI-based testing techniques focus on verifying the functional …
[HTML][HTML] Archive-based multi-criteria Artificial Bee Colony algorithm for whole test suite generation
Testing an object-oriented software is harder than testing a structural program due to
inheritance, states, behaviour of different objects, association, and polymorphism properties …
inheritance, states, behaviour of different objects, association, and polymorphism properties …
Optimal test suite selection in regression testing with testcase prioritization using modified Ann and Whale optimization algorithm
SK Harikarthik, V Palanisamy, P Ramanathan - Cluster Computing, 2019 - Springer
Fault detection during testing can provide faster feedback on the system under test and
permit software engineers begin correcting faults earlier. One application of prioritization …
permit software engineers begin correcting faults earlier. One application of prioritization …
Many-objective test case generation for graphical user interface applications via search-based and model-based testing
VA de Santiago Júnior, E Özcan, JM Balera - Expert Systems with …, 2022 - Elsevier
The majority of the studies that generate test cases for graphical user interface (GUI)
applications are based on or address functional requirements only. In spite of the fact that …
applications are based on or address functional requirements only. In spite of the fact that …
Parallel mutation testing for large scale systems
Mutation testing is a valuable technique for measuring the quality of test suites in terms of
detecting faults. However, one of its main drawbacks is its high computational cost. For this …
detecting faults. However, one of its main drawbacks is its high computational cost. For this …
Image Depth Analysis: From Deep Learning to Parallel Cluster Computing
L Ding, W Du - 2021 Third International Conference on …, 2021 - ieeexplore.ieee.org
This research study begins with deep learning and progresses to cluster computing to
complete the image depth analysis pipeline. The deep neural model is taken into account in …
complete the image depth analysis pipeline. The deep neural model is taken into account in …
[Цитат][C] Nesne Yönelimli Yazılımlar ve RESTful Web Servisler için Yapay Arı Kolonisi Temelli Yazılım Test Yöntemleri Geliştirilmesi
Ö Şahin - 2020 - Fen Bilimleri Enstitüsü