Open Source Java Profiling Software

(Diver is in the process of being moved to GitHub. Please find us at https://github.com/thechiselgroup/Diver. Support requests & messages sent here may never be seen.) Dynamic Interactive Views For Reverse Engineering. Div/er is a set of Eclipse Plugins that aid developers in understanding software. It uses dynamic analysis and reverse engineering to offer views and filters that aid comprehension and discovery.

This benchmark suite is intend as a tool for the research community. It consists of a set of open source, real world applications with non-trivial memory loads.

ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a significant (but small) data set selected by the developer. The data collected is cross-referenced with the original source and can be interactively analyzed graphically to determine the best parallelization candidates and techniques.

Glassbox is an automated troubleshooting and monitoring agent for Java apps that diagnoses common problems with one-click. Drop in a .war file from http://www.glassbox.com and find out what's wrong with your existing web apps, without any code chang

Elvyx is a tool designed to monitor and profile the jdbc activity on java projects. This jdbc profiler has a server with a built-in db and a client to improve the experience.

Appspy is a user experience profiling tool. With Appspy you will be able to know what your users are doing. Be careful, this may result in dramatic improvements of your software ;-)

Sock4Log is a simple java xml serwer. Sock4Log will listen for client connections on the specified port number. It is created for retrieving xml log data from Flash Swf aplications which are using XmlSocketConnection.

TimeDoctor is a tool to visualize execution traces of tasks, queues, cache behavior, etc. While originally targeting embedded media processors and includes specific features for analyzing audio/video streaming applications it has wider applicability.

JIP is a high performance, low overhead profiler that is written entirely in Java. JIP gives the developer the ability to turn the profiler on and off while the VM is running. You can also filter out classes and packages as well as control the output.

Performance Monitoring Tool for Java / J2EE Applications. Features: light-weight profiler, AOP based, lists API times, JDBC / SQL statistics, central logging, cluster support, web UI, call trees, configurable monitoring levels.

Libinstrument is a complete and easy way to do custom function instrumentation for C/C++. The project comes ready with classic applications of instrumentation, such as AOP (Aspect Oriented Programming), Concern and Side Effect injection, stack tracing, exception tracing, basic time profiling, callgraph profiling and other. A GC (Garbage Collector) module is also under development. Libinstrument is highly portable and decoupled. The project comes with a CMake build system, integration with IDEs (CLion, Eclipse e.t.c) is straightforward. Using lazy algorithms there is virtually zero overhead in benchmarks and minimum overhead in execution time. Libinstrument tries to be as non-intrusive as possible, while trying to help the developer offering basic reflection. There are Unit Tests for each class and method, testing is driven with CTest.

Jensor is a light-weight, low-overhead Java Profiler built using Java BCI. Jensor provides innovative analysis modules like JVM Replay, Pattern Analysis and Tagging Engine for technical as well as business analysis based on the same underlying data.

Approximate Reasoning trades completeness and soundness for increasing speed. The focus of this project is to develop scalable reasoning techniques for OWL ontologies.

ASGMemProf is an exact, bytecode instrumenting memory profiler for Java EE, relying on a novel scheme - memory accounts.

ASLA (Automated software license analyzer) is a tool for finding and identifying licenses of existing software packages.

An implementation of the Open Group's Application Response Measurement (ARM) Version 4 standard. The ARM standard describes a means of breaking an application down into it's constituent transactions, and measuring response time across multiple tiers.

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.

Simple and easy to use Java Application Performance Monitoring tools It shows latency time, cpu usage time in each node in your application. The data will be decorated with MS-Excel Pivot table feature into your view.

COMPAS J2EE is a non-intrusive performance instrumentation and monitoring toolkit for J2EE. It uses adaptive monitoring to automatically adjust the target coverage. COMPAS is completely portable across J2EE application servers and OSs.

Java Collection Size Profiler. Use CProfiler to get traces of collection sizes of dynamically instrumented Java programs.

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.

CodeSleuth is an Eclipse plug-in that exposes CPU performance data and maps that information to the code emitted by the JVM, and then to the Java source. This data allows Java developers to analyze and modify the code to improve application performance.

A Java Application for All want to do patch and modify your config file on your production of release

Parses and analyses Documentum 6.x DFC traces

Eclipse based framework to create interoperability among UML2 and Architectural Description Languages (ADLs). DUALLy works at two abstraction levels: meta-modeling (via AMW weaving models), and modeling (via UML, Ecore models and ATL transformations).