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Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206146405 ISBN 13: 9786206146407
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Taschenbuch. Condition: Neu. GUI TESTING | EVENT FLOW MODEL FRAMEWORK | Prabhu Jayagopal | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206146407 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206146405 ISBN 13: 9786206146407
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Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032697334 ISBN 13: 9781032697338
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Published by LAP LAMBERT Academic Publishing Feb 2023, 2023
ISBN 10: 6206146405 ISBN 13: 9786206146407
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The event handler's latency for GUI application is increased so testers have to spend more money on that to minimize delay to count the responsiveness of the GUI application. Forced by work on prioritization algorithm for test case generation, the fully automatic model based GUI testing resulted in the effective ordering of the test cases The infeasible problems of test cases and their ripping methods for constructing Event Flow Graph might miss some of the paths since they are not reachable at some state but available at another state and so not optimized. GUI Testing can be performed both manually with a human tester or could be performed automatically with use of a software program. Finding errors when the test suite ran at night, and telling testers in the morning, because we have some known problems. 152 pp. Englisch.
Language: English
Published by LAP Lambert Academic Publishing, 2023
ISBN 10: 6206146405 ISBN 13: 9786206146407
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The event handler s latency for GUI application is increased so testers have to spend more money on that to minimize delay to count the responsiveness of the GUI application. Forced by work on prioritization algorithm for test case generation, the fully aut.
Language: English
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206146405 ISBN 13: 9786206146407
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The event handler's latency for GUI application is increased so testers have to spend more money on that to minimize delay to count the responsiveness of the GUI application. Forced by work on prioritization algorithm for test case generation, the fully automatic model based GUI testing resulted in the effective ordering of the test cases The infeasible problems of test cases and their ripping methods for constructing Event Flow Graph might miss some of the paths since they are not reachable at some state but available at another state and so not optimized. GUI Testing can be performed both manually with a human tester or could be performed automatically with use of a software program. Finding errors when the test suite ran at night, and telling testers in the morning, because we have some known problems.
Language: English
Published by LAP LAMBERT Academic Publishing Feb 2023, 2023
ISBN 10: 6206146405 ISBN 13: 9786206146407
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The event handler's latency for GUI application is increased so testers have to spend more money on that to minimize delay to count the responsiveness of the GUI application. Forced by work on prioritization algorithm for test case generation, the fully automatic model based GUI testing resulted in the effective ordering of the test cases The infeasible problems of test cases and their ripping methods for constructing Event Flow Graph might miss some of the paths since they are not reachable at some state but available at another state and so not optimized. GUI Testing can be performed both manually with a human tester or could be performed automatically with use of a software program. Finding errors when the test suite ran at night, and telling testers in the morning, because we have some known problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032697334 ISBN 13: 9781032697338
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering. With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques have been employed to optimize parameters, hyper-parameters. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.