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Static Analysis of Java Bytecode 被引量:1
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作者 Jian\|jun Zhao Department of Computer Science and Engineering, Fukuoka Institute of Technology, Fukuoka 811 0295,Japan 《Wuhan University Journal of Natural Sciences》 CAS 2001年第Z1期383-390,共8页
Understanding control flows in a computer program is essential for many software engineering tasks such as testing, debugging, reverse engineering, and maintenance. In this paper ,we present a control flow analysis te... Understanding control flows in a computer program is essential for many software engineering tasks such as testing, debugging, reverse engineering, and maintenance. In this paper ,we present a control flow analysis technique to analyze the control flow in Java bytecode. To perform the analysis, we construct a control flow graph(CFG) for Java bytecode not only at the intraprocedural level but also at the interprocedural level. We also discuss some applications of a CFG in a maintenance environment for Java bytecode. 展开更多
关键词 Control flow analysis java virtual machine software testing software maintenance.
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Scientific scripting in Java with JShellLab and application to deep learning using DeepLearning4j
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作者 Stergios Papadimitriou 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2020年第4期139-153,共15页
JShellLab is an easy to use MATLAB-like environment for the Java Virtual Machine(JVM).It implements scientific scripting based on the JShell Application Programming Interface(API)of modern Java.The paper illustrates t... JShellLab is an easy to use MATLAB-like environment for the Java Virtual Machine(JVM).It implements scientific scripting based on the JShell Application Programming Interface(API)of modern Java.The paper illustrates that JShellLab can significantly facilitate and simplify the development of complex computational demanding scientific software at the JVM.The novelty at the JShellLab is that it completely hides the complexity and the intricate dependencies of optimized scientific software.As an example,the demanded field of deep learning is exploited.Specifically,the implementation of effective practical deep learning-based systems using the JShellLab environment and the Deeplearning4j Java library is considered. 展开更多
关键词 Deep learning java virtual machine scientific scripting OpenBLAS convolutional neural networks.
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