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公开(公告)号：US20080147583A1
公开(公告)日：2008-06-19
申请号：US12027734
申请日：2008-02-07
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianncy , Peter Wai Yee Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianncy , Peter Wai Yee Wong
IPC分类号： G06N5/02
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译： 提供了一种通过利用知识库来最小化测试新软件系统的冗余的方法和系统。 知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。 当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。 可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。 因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。
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公开(公告)号：US07792772B2
公开(公告)日：2010-09-07
申请号：US12027734
申请日：2008-02-07
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
IPC分类号： G06N5/02
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译： 提供了一种通过利用知识库来最小化测试新软件系统的冗余的方法和系统。 知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。 当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。 可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。 因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。
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3.发明申请公开(公告)号：US20090217245A1
公开(公告)日：2009-08-27
申请号：US12037800
申请日：2008-02-26
IPC分类号： G06F9/44
CPC分类号： G06F9/44589
摘要： Method and system for constructing corrected Java native code are provided. Native source code that interfaces or integrates with Java code is analyzed and validated before the source code is compiled. One or more checks are performed on the native source code to verify that the native source correctly interfaces with the Java code, and the verification results from said one or more checks are reported. The method and system for constructing corrected Java native code can be implemented as a plug-in to a program development environment, wherein a developer may invoke the method and system while developing said native source code.
摘要翻译： 提供了构建更正的Java本机代码的方法和系统。 在编译源代码之前，分析并验证与Java代码进行接口或集成的本地源代码。 对本地源代码执行一个或多个检查以验证本地源与Java代码正确接口，并且报告来自所述一个或多个检查的验证结果。 用于构造校正的Java本地代码的方法和系统可以被实现为程序开发环境的插件，其中开发者可以在开发所述本地源代码的同时调用该方法和系统。
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4.发明授权公开(公告)号：US08185876B2
公开(公告)日：2012-05-22
申请号：US12037800
申请日：2008-02-26
IPC分类号： G06F9/44
CPC分类号： G06F9/44589
摘要： Method and system for constructing corrected Java native code are provided. Native source code that interfaces or integrates with Java code is analyzed and validated before the source code is compiled. One or more checks are performed on the native source code to verify that the native source correctly interfaces with the Java code, and the verification results from said one or more checks are reported. The method and system for constructing corrected Java native code can be implemented as a plug-in to a program development environment, wherein a developer may invoke the method and system while developing said native source code.
摘要翻译： 提供了构建更正的Java本机代码的方法和系统。 在编译源代码之前，分析并验证与Java代码进行接口或集成的本地源代码。 对本地源代码执行一个或多个检查以验证本地源与Java代码正确接口，并且报告来自所述一个或多个检查的验证结果。 用于构造校正的Java本地代码的方法和系统可以被实现为程序开发环境的插件，其中开发者可以在开发所述本地源代码的同时调用该方法和系统。
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公开(公告)号：US07275241B2
公开(公告)日：2007-09-25
申请号：US10719048
申请日：2003-11-21
IPC分类号： G06F9/45
CPC分类号： G06F9/45516
摘要： The present invention provides a method, apparatus, and computer instructions for dynamic intermediate code transformation in a mixed mode compiler. In an exemplary embodiment, an object code compiler of a virtual-machine, such as the just-in-time (JIT) compiler (415) of a Java virtual machine (JVM), takes loaded classes and compiles these into object code (416). A JIT-enabled dynamic instrumentation (JEDI) interface (420) provides information to an application (e.g., a tool with a GUI), and passes requests for transformation to the JIT (415) and class-loader (410). If loaded, JEDI controls the JIT compiler (415) to compile and transform the class into object code. Thus, dynamically transformed object code is produced without transformation or re-loading of the loaded classes.
摘要翻译： 本发明提供了一种用于混合模式编译器中的动态中间代码转换的方法，装置和计算机指令。 在示例性实施例中，诸如Java虚拟机（JVM）的即时（JIT）编译器（415）的虚拟机的目标代码编译器接收加载的类并将其编译成目标代码（416 ）。 启用JIT的动态仪器（JEDI）接口（420）向应用程序（例如，具有GUI的工具）提供信息，并将转换请求传递到JIT（415）和类加载器（410）。 如果加载，JEDI控制JIT编译器（415）来编译并将类转换为对象代码。 因此，动态转换的对象代码在没有转换或重新加载加载的类的情况下产生。
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公开(公告)号：US08326783B2
公开(公告)日：2012-12-04
申请号：US12040188
申请日：2008-02-29
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yu Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yu Wong
IPC分类号： G06N5/00
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译： 提供了一种通过利用知识库来最小化测试新软件系统的冗余度的方法和系统。 知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。 当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。 可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。 因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。
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公开(公告)号：US07370039B2
公开(公告)日：2008-05-06
申请号：US11098824
申请日：2005-04-05
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译： 提供了一种通过利用知识库来最小化测试新软件系统的冗余的方法和系统。 知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。 当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。 可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。 因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。
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公开(公告)号：US20080147589A1
公开(公告)日：2008-06-19
申请号：US12040188
申请日：2008-02-29
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
IPC分类号： G06N5/02
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
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