Search Results for "data capture framework"

Koarse Grind has been rewritten in Kotlin (hence the 'K'). It's new home is here: https://github.com/william-hood/koarse-grind-kotlin __________________________________ Test Automation framework for Kotlin/Java with an integrated web-based user interface. It is intended for larger-grained testing of an installed & configured product, rather than unit testing.

ansvif, or A Not So Very Intelligent Fuzzer, suited to find bugs in code by throwing garbage arguments, files, and environment variables at the target program, that you may or may not have the source code to. It supports many features, such as buffer size, randomization of the buffer size, random data injection, templates, and much more. The purpose of this project is to identify bugs in software, specifically bugs that can induce a segmentation fault under various conditions. This aids...

jMINT is a integration fault injection tool which identifies data exchanges across classes and inject faults along those path. It is primarily based on the idea of program analysis and code mutation. The cross boundary data exchanges are identified by performing data flow analysis using java byte code analysis and transformation framework-soot. Mutant injection is also done via the soot framework. jMINT tool can be used to measure the effectiveness of integration test suites.

DATA Gen™ Test Data Generator offers facilities to automate the task of creating test data for new or existing data bases. It helps lower the programming effort required, while reducing manual test data generation errors and the ripple effect that they cause on production systems, users and maintenance.

Prolix is an extension appender for the log4net logging framework. Prolix directs logging for an ASP.NET session to a separate tab in the browser. Since communication is over HTTP, users can watch logging data regardless of security constraints.

iValidator is a Java framework for automation of scenario and integration tests in complex environments. Features: automatic testing, reusability of unit tests, separation of code and data, Eclipse Plug-In, ANT tasks, support of all testing levels ...

Dynject is a lightweight, data transformation and validation framework. Dynject uses Java annotations and requires no configuration.

QC4J is an automated, specification-based testing framework, based on QuickCheck for Haskell. It makes it easy to test referentially transparent code, by creating test data automatically through user-defined generators.