Artificial Intelligence is revolutionizing software testing by introducing advanced, self-optimizing, and adaptive automated testing capabilities. AI-augmented tools leverage machine learning, self-healing capabilities, and computer vision to significantly reduce the need for human intervention in generating test cases and data, optimizing test suites, analyzing defects, estimating test efforts, and producing effective results. These tools streamline, accelerate, and improve the test workflow by retraining models based on collected data, thereby boosting human productivity.
With AI, software testing is moving into a world of increased efficiency, cost-effectiveness, and reliability. Many enterprises are adopting AI-powered tools to simplify testing processes, improve accuracy, and achieve faster delivery rates. These tools, with their in-built self-healing capabilities, not only simplify software development but also transform testing practices, making them an ideal choice for businesses aiming to streamline their testing processes.
What are AI Testing Tools?
Artificial Intelligence is transforming software testing by introducing advanced, self-optimizing, and adaptive automated testing capabilities. AI-augmented tools, leveraging machine learning, self-healing capabilities, and computer vision, significantly reduce the need for human intervention in generating test cases and data, optimizing test suites,analyzing defects, estimating test efforts and producing effective results.
These tools streamline, accelerate, and improve the test workflow by retraining models based on collected data, thereby boosting human productivity.
With AI ,software testing is moving into a world of increased efficiency, cost-effectiveness, and reliability. Many enterprises are adopting AI-powered tools to simplify testing processes, improve accuracy, and achieve faster delivery rates. These tools, with their in-built self-healing capabilities, not only simplify software development but also transform testing practices, making them an ideal choice for businesses aiming to streamline their testing processes.
Benefits of using AI tools in testing
In recent years we have seen fast release cycles, more third-party dependencies, and dependency on APIs which significantly challenged software testing.Testers manage and modify numerous test cases daily. AI-powered software testing tools are crucial for addressing these challenges, ensuring that testing keeps pace with rapid developments.
AI tools play a vital role in ease of maintenance, featuring self-healing functionalities that automatically update test scripts in response to application changes, generate crucial decision-making data, detect and correct issues early in the development life cycle. This automation saves time by adjusting tests for new features or enhancements automatically making testers handle repetitive tasks smoothly.
AI is useful when it comes to maintaining automation test suites and enhancing UI, Unit, and API testing.
Below is a list of the 10 most popular AI testing tools. These tools use various AI techniques to automate and optimize testing processes.
- Test Craft / Perfecto
- TestSigma
- ACCELQ
- Applitools
- Testim
- Functionize
- Mabl
- Katalon Studio
- Selenium
- Sauce Labs
The following software testing tools pioneer the AI testing trend and incorporate AI technologies into their systems to bring software testing to the next level. Let’s explore some of the top AI software testing tools available today.
Test Craft
TestCraft by Perfecto offers a graphical interface for codeless test creation and execution. Its Cloud based AI-driven test automation tool built on the Selenium foundation. TestCraft, now known as Perfecto Scriptless.
- It is designed to accommodate both manual and automated testing with multi language support.
- Offers web application monitoring capabilities minimizing maintenance time and cost.
- This tool is best for delivering tests for web-based software at super speed.
- It automatically updates test scripts so that it can adapt to application changes ensuring reliable testing.
- It does parallel execution across multiple browsers and devices for faster testing.
- Drastically reduces maintenance through its adaptive AI/ML technology.
Pricing : TestCraft provides a range of subscription options(free trial, monthly, and yearly plans). The entry-level cost per user starts at $29.
Test Sigma
It is one of the foremost AI-powered testing tools with various features for creating automated tests with NLP (natural language processing). It’s cloud-based, eliminating the need for installation/setup, and can be used for testing various types of software applications.
- It's a versatile tool as it supports web, mobile, desktop, and API test automation.
- Automatic healing capabilities for correcting errors.
- Data-driven capabilities for real-life test cases.
- Automated scheduling capabilities and report customization.
- Seamless integration with all popular CICD tools.
- Provides a visual interface for creating and managing tests.
- Offers real-time test results and analytics.
Pricing : Testsigma presents three pricing models. Users can opt for a free plan or subscribe to the Pro or Enterprise plans.
Applitools
Applitools is one of the AI test automation tools with multiple uses. It is used for software testing, monitoring, and app visual management. The key selling point of Applitools is its range of visualized testing solutions.
- It can be used for manual QA and automated tests for desktop, mobile, and web-based apps.
- Reduction in time for creation, execution, and maintenance of automated tests through Visual AI.
- Large-scale application testing capability.
- Intelligent Visual AI to verify visual consistency across various browsers and devices.
- It includes a cross-browser (and cross-device) grid for testing web applications as well as a mobile grid to test native mobile applications.
- It also integrates with issue tracking solutions and leverages AI and ML for test maintenance.
Pricing : Applitools offers three distinct pricing models – Starter, Eyes, and Ultrafast Test Cloud. Users have the option to create a free account to assess their capabilities.
Mabl
Mabl features a powerful intuitive GUI interface. It is an AI-powered, codeless test automation platform for web applications.
It is one of the AI testing tools that offer low code testing capabilities. In addition, it does not need the writing of scripts.
- Built using cloud, AI and low-code innovations.
- Functional and non-functional testing scalability across web apps, mobile apps, APIs, performance and accessibility testing.
- Delivers 3x faster test creation, 70% maintenance reduction, 10x faster test runs, 80% savings over homegrown solutions.
- Integrations with Slack, Jira, Microsoft Teams and Github.
- It automatically adjusts test scripts in response to application changes to ensure robust testing.
- Mabl focuses testing efforts on critical functionality, maximizing coverage and effectiveness.
- Mabl provides actionable recommendations based on test results for targeted improvement areas.
Pricing: Mabl offers tailored pricing based on the specific needs of an organization. The pricing structure is designed to be flexible and scalable, ensuring that teams can efficiently manage their testing processes across web, mobile, API, accessibility, and performance testing.
Katlon
Katalon Studio is an automation testing software tool that offers a comprehensive quality management platform supporting test creation, management, execution, maintenance, and reporting. Katalon Studio also includes Katalon Recorder and Katalon TestOps.
- This dynamic tool works seamlessly across web, API, desktop, and mobile applications, making it accessible for beginners with minimal programming skills.
- It allows tests across multiple browsers and platforms.
- Through keyword-driven testing, testers can create reusable test components using simple keywords, improving test maintainability.
- Studio Assist, which uses ChatGPT to autonomously generate test scripts from plain language input.
- It integrates with Jira, implements SmartWait and self-healing techniques, and prioritizes quality at the UI layer to eliminate false positives and ensure a seamless customer experience.
- It identifies APIs with abnormal performance and analyzes test flakiness and test failures.
Pricing : A free version of Katalon Studio is available. For access to advanced features, a paid subscription is required.
Use Cases
Test Craft / Perfecto:
Scenario: Automating User Registration for an E-commerce Website (Codeless)
- Navigate to the Perfecto platform at Perfecto.
- Sign in with your credentials or create a new account.
- Create a New Test Project: After logging in, create a new project for e-commerce website testing (AUT).
- Provide a project name, test name, and the respective AUT URL on the required platform.
- Prepare your first test by clicking "Start Building Test". In a matter of seconds, Perfecto will spin up a virtual machine for your test, which will be available for as long as you need it.
- Design Test Scenarios: Use Perfecto’s visual test editor to design test scenarios. Drag and drop elements to create a test flow for user registration.
Example Scenario: User Registration
Steps:
- In the test design screen, you will see three boxes labeled Initialization, Browser, and Finish.
- Initialization: Wait for a few seconds for all the required initialization to be done.
- Browser: The browser automatically opens up in the test design screen with the previously entered AUT URL. After this section, all user actions performed are recorded.
- Navigate to the registration page. Select the sign-in button and observe that the click action is recorded. Repeat this process for other actions as well.
- Finish: Once all actions are recorded, click "Step Over" to finish the recordings. You can rerun the test for verification and validation.
Execute Tests:
By creating a job, you can add all the test cases under a single job and run the tests. These tests can also be scheduled to run at specific intervals or after each code deployment.
Analyze Results:
Review the test results under Test Analysis. Check the Dashboard and Report Library for detailed insights.
Conclusion
AI-powered testing tools are transforming the software testing landscape by introducing advanced, adaptive, and self-optimizing capabilities. These tools significantly enhance efficiency, reduce costs, and improve the reliability of testing processes. By automating repetitive tasks, generating crucial decision-making data, and adapting to changes in real-time, AI testing tools ensure that software testing keeps pace with rapid developments. As businesses continue to adopt these innovative tools, they can achieve faster delivery rates, improved accuracy, and streamlined testing processes, making AI an indispensable part of modern software testing.
Ready to integrate AI into your testing processes?
Contact projects@spritecloud.com for a free consultation and discover how we can transform your testing process!