ContiPerf is a lightweight testing utility to easily leverage JUnit 4 test cases as performance tests, e.g. for continuous performance testing. It is inspired by JUnit 4's easy test configuration with annotations, and by JUnitPerf's idea of wrapping Unit tests for performance testing, but is more powerful and easier to use. It uses Java annotations for defining test execution characteristics and performance requirements. You can mark a test to run a certain number of times, or to be repeatedly executed for a certain amount of time. Performance requirements can be maximum, average, medium, or any percentile execution time. You can run tests in two different modes, using them as simple unit tests or performance tests. Easy integration with Eclipse and Maven. Export of an execution summary to a CSV file. A small library without external dependencies (only JUnit).
Databene Benclipse is an Eclipse plugin that integrates Databene Benerator with Eclipse. Benerator's purpose is to generate mass test data for performance testing that satisfies even complex validity constraints. Benclipse greatly simplifies especially the first steps in test data generation and speeds up test data definition even more by providing a project wizard with a series of templates to start with, a set of bundled JDBC drivers, a sophisticated JDBC configuration wizard, a database snapshot facility for creating database dumps in DbUnit format, and a built-in HSQL database for trying the first steps.
Benerator is a performance test data generation tool. It can be used to completely synthesize test data or import and anonymize production data. Its emphasis is on generating valid data even for complex constraints and on being platform-independent. You can define generators for your business domain, exchange them freely (under GPL) with colleagues, and reuse them for creating data for different target platforms. It is highly extendable, supporting a wide range of service provider interfaces, and can execute scripts in JavaScript, Ruby, Python, Groovy, and other script languages.
Feed4JUnit makes it easy to write parameterized tests for the JUnit framework and feed them with predefined or randomly generated test data: test case data can be read from Excel or CSV files, databases, or custom data sources, and equivalence class tests can be defined easily. Setup is based on Java annotations and is easy to learn, apply, and maintain. Annotations defined in the "Bean Validation" JSR 303, Java 7, and Benerator are automatically recognized and generated smoke test data will match the constraints. By connecting to Benerator, you can configure generation of complex valid and invalid data sets.
Feed4TestNG makes it easy to write parameterized tests for the TestNG framework and feed them with predefined or randomly generated test data: test case data can be read from Excel or CSV files and equivalence class tests can be defined easily. Setup is based on Java annotations and easy to learn, apply, and maintain. Annotations defined in the "Bean Validation" JSR 303, Java 7 and Benerator are automatically recognized and generated smoke test data will match the constraints. By connecting to Benerator, you can configure generation of complex valid and invalid data sets.