Results 41 to 50 of about 678,049 (166)
Software reliability growth modeling for agile software development
The frequent incremental release of software in agile development impacts the overall reliability of the product. In this paper, we propose a generic software reliability model for the agile process, taking permanent and transient faults into ...
Rawat Shubham, Goyal Nupur, Ram Mangey
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Predicting Software Reliability in Softwarized Networks
Providing high quality software and evaluating the software reliability in softwarized networks are crucial for vendors and customers. These networks rely on open source code, which are sensitive to contain high number of bugs. Both, the knowledge about the code of previous releases as well as the bug history of the particular project can be used to ...
Hasan Yagiz Özkan +3 more
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Formalization of Matrix Theory in HOL4
Matrix theory plays an important role in modeling linear systems in engineering and science. To model and analyze the intricate behavior of complex systems, it is imperative to formalize matrix theory in a metalogic setting.
Zhiping Shi +6 more
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S-N curve fatigue samples of titanium alloy welded joints have such a comparatively significant scatter, that results in the issue that the fatigue life prediction accuracy is not optimal.
Yangjinyu Li, Li Zou, Zhengjie Zhu
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Software reliability model of open source software based on the decreasing trend of fault introduction. [PDF]
Wang J, Zhang C, Yang J.
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Some Transmuted Software Reliability Models
The Hausdorff approximation of the shifted Heaviside function $h_{t_0}(t)$ by general transmuted family of cumulative distribution functions is studied and a value for the error of the best approximation is derived in this paper.
Asen Rahnev +3 more
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Reliability in Distributed Software Applications [PDF]
Reliability is of vital importance for distributed software application and should be ensured in all stages of the development cycle. Ensuring a high level of reliability for distributed software applications leads to competitive applications which ...
Catalin Alexandru TANASIE +2 more
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DNN Robustness Enhancement Based on Adversarial Sample Prioritization
Adversarial attacks pose significant threats to the robustness of deep neural networks (DNN), necessitating the development of effective defense mechanisms.
Long Zhang +3 more
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In the modified models Jelinski – Moranda and Schick-Wolverton probabilities of errors are used. This article discusses the definitions of these probabilities.
Ilmir Mubinovich Azymshin +1 more
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In today's world to determine the reliability of software are widely used Jelinski-Moranda and Schick-Wolverton reliability models. But these models do not take into account the possibility that the developer can allow the appearance of new errors in ...
Ilmir Mubinovich Azymshin +1 more
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