Open Source Windows Software Testing Tools - Page 24

The concept behind DataWoo is to create a Spring-based architecture that allows developers to jump-start their coding efforts by providing a hardened and secure foundation when developing new systems; it can also be used as a reference for incorporating new technologies into existing systems. DataWoo is meant to be a research and development platform that can be extended into just about any enterprise-level web application. The architecture will be developed in three phases: 1. Basic Spring Architecture: Provides all the basic components needed to field an enterprise-level application. 2. Programmatic Security Model: Incorporates the components needed to dynamically assign users to user roles and user roles to profiles. 3. Meta-Driven Architecture: Use meta-data to dynamically configure 80%-90% of the application using the concepts exemplified in the Compiere open source project.

The project is moved to GitHub: https://github.com/STSSoft/DatabaseBenchmark. We will continue to upload the source and binaries here, but the code repository will be innactive. Database Benchmark is one of the most powerfull open source tools designed to stress test database management systems with large data flows. The application performs two main test scenarios: - Insertion of large amount of randomly generated records with sequential or random keys; - Read of the inserted records, ordered by their keys. Database Benchmark can be used as an additional viewpoint when the research engineers or software architects asses the appropriate background storage engine for their mission critical systems. The application contains useful tools that make it easy to test and evaluate the different solutions.

DB Initiator is a tool to quickly populate a database with nonsense data quickly and easily. This can aid in testing the scalability of your database driven website, or easily design the UI with plenty of data loaded.

For the testing of any application it need to populate the sample data into the tables used by the application. I have started this project to catter the basic need of populating test data. This utility examin the table and insert the data according to t

Datagenerator is a library and GUI for generating rule based test data for various databases like Mysql, Firebird, Interbase, MSSQL, Oracle, SQLite and PostgreSQL.

Dave's Unit Test (DUT) is a simple infrastructure for doing unit testing in c and c++. DUT can test boolean assertions, and test for the existence of expected c++ exceptions or POSIX signals. DUT also traps unexpected exceptions or signals.

A Database Unit Testing framework for .NET. Places the database in a given state ready for unit testing of database access code.

DbgProfiler provides an easy mechanism for profiling certain hotspots of an application by just adding a few macros to the C++ source code. A hierarchy of the callers and callees is generated automatically and allows a detailed analysis of the results.

A set of extensions to JUnit for Documentum-based developments.

vLoad tests should be done regularly to avoid being caught unprepared. Find out the maximum service capacity of your web system. Start the test either instantly or for a future date. Define your periodic load tests. Without load tests, businesses understand the load capacity of their systems when they become inaccessible during campaign times such as Black Friday or Cyber Monday. Determine the origins of requests and the test duration with our easy-to-use web interfaces. Review past load tests and general performance from our reports and charts. Adjust the origin of the requests from 100+ locations. Existing solutions are costly and limited. So we’ve developed a brand-new load generator. Customize your tests with scenarios on UI. Without a line of code! Insightful reports and charts to improve your service capability.

Death Star is a 'multi-protocol stress testing' tool. Initially forked from LOIQ v0.3a, Death Star seeks to surpass LOIC and LOIQ in terms of performance, OS support and win.

Decision Table Creator is a tool to create/edit/export decision tables. Tables can be checked on consistency and completeness. The resulting table can be copied to the clipboard to incorporate it in Word, Excel or PowerPoint. Plans exist to extend to multi value decisions. Please request for this or other extensions so I got an idea of the need for this.

Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate your model and evaluate it. To run a specific single check, all you need to do is import it and then to run it with the required (check-dependent) input parameters. More details about the existing checks and the parameters they can receive can be found in our API Reference. An ordered collection of checks, that can have conditions added to them. The Suite enables displaying a concluding report for all of the Checks that ran.

Jest is a delightful JavaScript Testing Framework with a focus on simplicity. Jest aims to work out of the box, config-free, on most JavaScript projects. Make tests that keep track of large objects with ease. Snapshots live either alongside your tests or embedded inline. Tests are parallelized by running them in their own processes to maximize performance. By ensuring your tests have unique global state, Jest can reliably run tests in parallel. To make things quick, Jest runs previously failed tests first and re-organizes runs based on how long test files take. Jest uses a custom resolver for imports in your tests, making it simple to mock any object outside of your test’s scope. You can use mocked imports with the rich Mock Functions API to spy on function calls with readable test syntax.

Delphi FIT Server for FitNesse

Denvir is an environment diagnostic library. It should be used by application start-up to check its requirements (for example the right JDK). If a problem occurs, Denvir will provide possible solutions to the end-user.

The DOF enables efficient JUnit testing and Test Driven Development against code that depends on objects that are persisted (e.g., database), more efficiently than alternative techniques such as SQL scripts. Please visit us at https://github.com/justin808/dof

A Perl script that interfaces with the Devantech USB to I2C interface adapter. This script allows a user to read and write as a master to the i2c bus as well as set or get the value of the io pins.

Quite useful library for code diagnosis. As for now it can measure time of working for simple blocks of code, but features like loop or counters are developed.

Mock framework for c# which deal with static, non-virtual methods and sealed class.

Dieseltest is an easy-to-use load testing tool for simulating hundreds or thousands of users on a website. It has a facility for recording scripts, playing them back, and showing the results in real time. Results can be exported for further analysis.

Differencify is a library for visual regression testing via comparing your local changes with reference screenshots of your website. It is built on top of chrome headless using Puppeteer.

Diffy is a traffic-shadowing and response-diffing tool that helps you validate a new version of a service against a trusted baseline before a full cutover. It acts as a proxy that fans out real production requests to three backends: the current “primary,” a “candidate” (new build), and a “shadow” baseline, then compares responses to detect behavioral differences. By using live traffic rather than synthetic tests, Diffy surfaces edge cases and data-dependent discrepancies that unit tests often miss. It provides mechanisms to normalize noise (timestamps, IDs, ordering) so diffs reflect meaningful regressions rather than incidental variance. Results are aggregated and visualized so teams can triage by endpoint, response field, or error type, turning release validation into a data-driven process. Built on Twitter’s Finagle stack, Diffy demonstrates a practical pattern for continuous verification and safer deployments in microservice environments.

Simple utility to test results of your programs. You set up possible problems, supply the answers, and you are ready. Users connect through web interface, and submits solution. Diodos detects for which problem it is, compiles, and returns results.