AI-Driven Software Testing Foundation

Who we are

We are a dedicated group of AI enthusiasts and software testing experts committed to transforming the landscape of software testing. Our vision is to revolutionize this field by making advanced AI-driven testing tools and methodologies accessible to everyone, not just large corporations.

Mission & Vision

Mission: Our mission is to democratize AI in the software testing field by providing free and open-source AI-driven testing tools and methodologies. We strive to enhance the quality and efficiency of software development, empowering testers worldwide with the resources they need to achieve superior testing results.

Vision: Our long-term vision is to revolutionize the software testing landscape by making advanced AI solutions the standard for all testing processes. We envision a future where AI-driven testing is not a privilege of large corporations but a universally accessible resource that drives innovation, reduces time-to-market, and ensures the delivery of exceptional software products. By continuously pushing the boundaries of what's possible, we aim to foster an environment where technology serves everyone, leading to more reliable, robust, and user-friendly applications.

How AI Can Help in Software Testing

Fixing Broken XPaths and Locators: AI can dynamically identify and repair broken XPaths and locators after changes in the UI.
Hard Verification: AI can perform hard verifications and ensuring that the expected and actual results match exactly by performing advanced pattern recognition.
Generating Real-Time Data Based on the Current Step: generating relevant test data in real-time based on the context of the current test step.
Using Image Icons for Test Automation: When it is hard to make a robust locator, AI can utilize image recognition to interact with elements in the application.
Generating Test Cases That Provide Best Coverage: AI can analyze the application's codebase and user behavior data to generate test cases that ensure maximum coverage.
Adaptive Learning: AI-driven testing tools can continuously learn from past test runs and user interactions to improve their accuracy and effectiveness.
Simulating User Interactions: AI can simulate complex user interactions with the application, mimicking real user behavior more accurately than traditional scripts.
Intelligent Test Case Prioritization: By analyzing the risk and impact of different test cases, AI can prioritize them to ensure that the most critical tests are executed first.
Enhanced Reporting and Analytics: using AI can highlight trends, identify recurring issues, and provide actionable recommendations to improve the overall quality of the software.

Our Projects

We work on multiple projects and GitHub contributions:

Adding locating strategy to existing Appiumlibrary
Appium image plugin library for Robot Framework
Image classifier for image recognition for test automation purpose
LLM integration for real test data generation in testing runtime

Join Our Community

We invite you to join our community on Slack to collaborate, share ideas, and stay updated with the latest advancements in AI-driven software testing. Become a part of our growing network of enthusiasts and experts!

Join us on Slack

AI-Driven Software Testing Foundation

Who we are

Mission & Vision

How AI Can Help in Software Testing

Our Projects

Adding locating strategy to existing Appiumlibrary

Appium image plugin library for Robot Framework

Image classifier for image recognition for test automation purpose

LLM integration for real test data generation in testing runtime

Join Our Community