Enables you to run load test written in a .Net language with Grinder.
Bringing the awesomeness of The Grinder to the .Net community. Bringing the awesomeness of the .Net programming languages to the Grinder community. GrinderScript.Net is an open source project, that enables you to run load test written in a .Net language in The Grinder. It is not a port of The Grinder to the .Net platform.
Stand alone Java application used simulate a memory leak in order to generate profile signatures. The application has the ability to generate system (CPU) load in order to observe profile signature changes.
Asynchronous Testing Framework
Add the support for asynchronous testing to existing unit testing frameworks.
Java5 distributed JUnit with mobile agents.
JDistUnit is a test framework for distributed unit testing with Java (think "JUnit on multiple computers at once"), useful for load and stress testing. Features hot deployment of test cases to the remote test servers.
JMeter is a load testing framework developed in Java. This plugin adds functionality to JMeter that logs results to a database, allowing for more effective reporting.
JPAnalyser is a tool for remote monitoring/analysis of Java and Java EE applications. It uses the advanced bytecode manipulation technologies provided by Java 6 to insert code into an application at runtime to gather information.
JUnit 4 extension to perform a performance and scalability tests in a easy-to-use way using annotations
Jamiba is a Java micro-benchmarking suite, designed for measuring the low-level performance of applications written in Java.
A Portable Thin Client & Server Pair for XA / 2PC Testing
A portable testing tool to validate the configuration of XA and two-phase commit for Java EE 6 Containers. The tool permits the stress-testing, performance characterization and correct transaction semantics of distributed transactions across Three XA resource managers by Exception Injection. The thin-client can be run from the command-line or inside the IDE. The server side component includes EJB packaging and some simple Web servlet support for retrieving diagnostic and performance data from the testbed.
Software Monitoring Framework
Kieker is a framework for continuous monitoring and dynamic analysis of distributed software systems. Being designed for continuous operation, it induces only a low overhead. The TraceAnalysis tool allows to analyze and visualize trace information.
A framework that compares performance of different pieces of code. Available in four languages: c#.net (SharpKinoko), java (JKinoko), c (CKinoko) and c++ (CppKinoko)
Black-box system testing of web applications for developers. Intuitive, simple usage. Common-sense behavior. Fixes notorious bugs in DbUnit. Wraps DbUnit, Unitils and JWebUnit in common, modern usage pattern.
MOBIDICK (MOdular But IntegrateD applICation frameworK) is dedicated to gather as less as possible Java frameworks in order to complete full needs of large business application and allow regeneration of code, even when java frameworks change.
A opensource program to collect statistics and accounting information from MQ and store it into a database, which will be displayed to the end user in a visually attractive to manner to better analyze the performance of their environment.
Oftalsoftrt is a simple solution application for medical ophthalmology. Java based use Netbeans and Mysql.
A little tool writen in java to trace the execution plan for a given database query. It works with Oracle 10g or higher and uses the JGoodies look and feel. You need to provide the Oracle.com JDBC-Driver and the JGoodies.org looks look and feel. Source is now located at Github https://github.com/mgeiss/oraxtra.
PROCOL space-based framework for multi-core. Based on LighTS (http://lights.sourceforge.net/). More to come soon ...
The intention is to develop a PeopleTools Developer Community where members can contribute software samples, PeopleTools project source files, and comment and expand on other contributions.
Library tools to collect timing in Java, C, C++
A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.
Projekt dla kursu "Systemy Rozproszone" Politechnika Wroclawska
Real time micro benchmark multi-lingual suite (RTMB) provides a good way to measure the deterministic quality of hardware, an operating system, or a Java Virtual Machine. RTMB consists of benchmarks in C, C++ and Java
Test suite with unit regrssion and execution statistics
RegressionSuite is a software test suite that incorporates measurement of the startup lag, measurement of accurate execution times, generating execution statistics, customized input distributions, and processable regression specific details as part of the regular unit tests. Essentially, RegressionSuite provides the frame-work around which the individual unit regressors are invoked (and details and statistics collected). Unit regressors are grouped into named regressor sets (or modules), and regressors are created by implementing specific regressor interfaces. These two features make regressors particularly amenable to testing analytics (and other similarly state-light) modules.
Stochastic Performance Logic testing tools and utilities.
Stochastic Performance Logic (SPL) serves for capturing performance assumptions. With SPL, it is possible to annotate Java functions with assumptions stating, for example, that the annotated function is at most three times slower than array copying. The assumption is then checked at build time in a similar way as standard unit testing. In other words, SPL is about introducing performance assert(). The advantage of SPL in comparison with other similar solutions includes following. SPL formulas uses well-defined logic and statistically sound testing (such as t-test). Next, SPL is aimed at automatic evaluation. And finally, SPL formulas uses relative comparisons (opposed to comparing against fixed time) to provide better portability.
SarBox helps user to parse or analyze sar data
The software program (SarBox) parses and analyzes SAR data in charts or text formats. SAR is cumulative activity counters in the operating system. It is the most comprehensive command which helps to monitor performance of various Linux / Solaris subsystems (CPU, Memory, I/O, Disk, Network, etc) all in same log. This makes it difficult to analyze since every counter data is dumped into the log file. SarBox helps to analyze this log file and present data in graphical charts or text format. To collect sar statistics from an environment, use below syntax [user@host ~]# sar -A 30 2 > sar_linux.log “30 2” reports for every 30 seconds and total of 2 times, written in sar_linux.log.