Abstract: Metadata describing common Java classes is extracted and utilized to optimize a Java program's performance based on the code requirements of the application. Data mining techniques extract metadata and other information about different sets of JVM byte code written by multiple vendors to determine the design choices and optimizations made by each vendor in implementing their JVM. Then, byte code in a Java application being programmed is analyzed in comparison to each vendor's JVM metadata and information. Based upon the application's requirements (for example footprint, performance, etc.), recommendations are generated that yield a newly compiled rt.jar that combines the best practices of each vendor together or recommends a particular vendor's standard JVM that is best suited for the application.

Abstract: An analysis tool extracts class data from Java objects originating from multiple vendors having a particular design specification. A database mining tool then creates training data from the extracted class data to create a definition of objects associated with the particular design specification. Various implementations of the defined classes are compared across various performance metrics, which are output for the program designer as a function of vendor. The designer then selects the best design choices based on the best practices of multiple vendors disclosed by the outputs of the analysis tool when implementing a new Java program.

Abstract: An analysis tool extracts class data from Java objects within a potential plagiarizing Java program and the original Java program, and then compares classes common to the potential plagiarizing program and the original across various performance metrics. Similarities disclosed by the analysis tool are output for user or programmatic comparison of the matches between the potentially plagiarizing Java program byte code and the original program's byte code.

Abstract: Java class information is analyzed to determine if the code is standard for its particular class, and thus belongs to impliedly trustworthy software. An analysis tool performs a pre-analysis to train itself on standard class data for standard implementations of the object type and non-standard class data for non-standard implementations of the object type, and then performs a dynamic analysis of a received Java program to determine if its class data matches the criteria for a standard implementation of the object class.

Abstract: An analysis tool extracts class data from Java objects within a potential plagiarizing Java program and the original Java program, and then compares classes common to the potential plagiarizing program and the original across various performance metrics. Similarities disclosed by the analysis tool are output for user or programmatic comparison of the matches between the potentially plagiarizing Java program byte code and the original program's byte code.