Search Results for "java project with source code" - Page 2
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Showing 35 open source projects for "java project with source code"
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j2moose is an eclipse plugin to export java and jsp source code to a format understood by the Moose reengineering environment.
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This project provides runtime performance monitoring and reporting for Java applications. It includes a simple API with timers and counters, data persistence, support classes and aspects (AspectJ & Spring AOP), and a reporting web application.
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BeCover is a Java code coverage tool based on source-code analysis. The main goal is to keep it small and fast, so using it as a plugin in the common IDE's can be achieved.
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This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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FProfiler is a Java Profiler using log4j. Its very fast because it inserts the needed instructions into the byte-code of the class. It can be used to find "Hotspots" in Java programs, libs and servlet environments simply every Java class.
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gcov-eclipse is an Eclipse plug-in that will extend CDT to provide code-coverage testing to C/C++ projects by using the gcov program. It will integrate into the CDT's launch and managed build system.
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ClassReach is a utility to identify unused Java classes and methods. Once identified, such things can be removed from the code, hopefully simplifying the system.
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A static analyzer for Java programs that checks for design guidelines. The project is adopted from PDL (http://portal.acm.org/citation.cfm?id=1218571).
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This project aims at being the spearhead of logging tools. It will integrate with existing logging frameworks and will incorporate unique features to maximize speed and usability.
