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Titlebook: Automated Software Engineering: A Deep Learning-Based Approach; Suresh Chandra Satapathy,Ajay Kumar Jena,Saurabh B Book 2020 The Editor(s)

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發(fā)表于 2025-3-25 06:03:24 | 只看該作者
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發(fā)表于 2025-3-25 14:26:32 | 只看該作者
Feature-Based Semi-supervised Learning to Detect Malware from Android,e analyze that the growth of Android malware is also increasing day by day and it paid a serious security threat to user’s privacy. Previously developed frameworks and virus protection softwares are capable to detect “known” malware specifically. In the previous studies researchers, has applied dist
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發(fā)表于 2025-3-25 17:14:13 | 只看該作者
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發(fā)表于 2025-3-25 20:40:14 | 只看該作者
https://doi.org/10.1007/978-3-030-38006-9Deep Learning; Cost Estimation; Requirement Engineering; Automated Testing; Artificial Neural Network; So
26#
發(fā)表于 2025-3-26 01:05:11 | 只看該作者
978-3-030-38008-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-26 14:37:22 | 只看該作者
Norbert Streitz,Petra Rexroth,Torsten Holmerediction causes programming analyzers to streamline and focus their testing resources on the modules which have a higher likelihood of modification. Accurate estimation of characteristics such as effort, quality, and risk which are the major concerns for change proneness, is of significant worry in
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發(fā)表于 2025-3-26 20:38:15 | 只看該作者
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