AI Testing Tools

The GPT Driver is an AI-powered solution developed by MobileBoost for automating mobile app testing. It streamlines the testing process by converting simple prompts into end-to-end tests for mobile apps, aiming to enhance productivity, accuracy, and cost-effectiveness in testing mobile applications. The tool uses visual-assisted models to automatically adapt to changes in the app, such as layout, screen flow, and text modifications, ensuring comprehensive and relevant testing sessions without the need for manual updates of test cases.

MobiHeals is a cloud-based mobile application Static Application Security Testing (SAST) tool designed for DevSecOps teams. It offers both static and dynamic analysis, continuous vulnerability analysis, automated and manual testing, compliance with global cybersecurity guidelines, integrated vulnerability assessment, and actionable security reports. MobiHeals supports continuous security management, provides periodic performance updates, and has been tested and patched by major brands. Users can sign up for a 30-day introductory offer which includes a one-platform vulnerability assessment, cost-efficient and scalable solutions, dynamic runtime security coverage, hidden flaws identification, real-time source code review, pre-exploitation, and post-exploitation runtime analysis, manifest analysis, binary analysis, quality issues detection, sensitive information leakage check, and fix solutions for vulnerabilities.

What is Carbonate?

Carbonate is an AI-driven automated end-to-end testing tool that integrates into testing frameworks. It allows users to write tests in plain English, which are then converted into fixed test scripts during the first run. When HTML changes occur, Carbonate generates new test scripts to adapt to these modifications. The tool is designed to handle changes in the user interface intelligently by distinguishing between UI changes and simple rendering differences, ensuring that tests do not fail due to minor UI alterations. Additionally, Carbonate offers performance optimization by analyzing HTML in the initial run and then using locally cached test scripts for subsequent runs, aiming to accelerate development and boost stability. It supports programming languages like PHP, Node, and Python through SDKs, enabling quick setup without requiring changes to existing testing tools.

By utilizing Carbonate, users can commit test scripts to repositories alongside their code, and if there are significant HTML structure changes, Carbonate will automatically generate new scripts. The tool handles dynamically rendered pages by using a combination of DOM mutation observers and network request monitoring during the initial extraction. Furthermore, Carbonate's SDK provides flexibility for users to add their own code between test script runs. Although some coding knowledge is necessary for integrating Carbonate's SDK, the developers are working on a tool that would allow running tests without integration requirements.

Carbonate's main goal is to make automated end-to-end testing accessible to all, including freelancers, agencies, startups, and large corporations, by offering reliable, stable, and efficient testing solutions.

Jam is an AI debugging assistant that offers AI-driven diagnosis and code fix suggestions to streamline the bug-fixing process for developers. It assists with debugging by analyzing bug reports, finding correlations and solutions, and providing personalized suggestions for fixing specific bugs based on the user's infrastructure. Jam gathers various user data for debugging, such as bug descriptions, browser/OS info, console logs, user actions, network logs, linked services, and Github repos. The tool ensures codebase privacy and security throughout the debugging process and communicates its findings to users by providing solutions and code update suggestions based on the analysis of bug reports. Jam is available as a Chrome extension and can be integrated with existing bug reporting workflows .

Tester AI is a type of AI-driven testing tool that falls into the category of Testing Tools. For more detailed information, you can refer to the file "tester-ai.pdf" provided in the uploaded documents.

Testim is an AI-powered test automation platform designed to help create, maintain, and execute tests for mobile and web applications. It aims to streamline test development, reduce maintenance time, enhance test stability, and provide insights to improve overall quality. Testim offers features like an intuitive interface for quick test creation by developers and QA teams, machine learning capabilities for test stability, and tools for web and mobile testing, including support for virtual and physical devices. Additionally, Testim integrates well with various tools such as Jenkins, Jira, GitHub, and others, providing seamless integration into existing workflows. The platform also offers TestOps services for managing tests, teams, and providing insights into quality and testing focus areas.

Teste.ai is an innovative platform that leverages artificial intelligence to transform software testing. It offers smart tools to help software testers create test cases, scenarios, and strategies more efficiently. With AI-generated data and test plans, Teste.ai enables testers to cover a wider range of requirements with diverse testing scenarios while reducing the time required for test creation and specification. The platform supports various types of tests including API, Functional, Security, and Performance testing, and promotes team collaboration by sharing test plans, documentation, and results through an intuitive dashboard.

The key features of Teste.ai include intelligent test creation, advanced test strategies, data generation and management, support for various test types, and streamlined team collaboration. It facilitates efficient collaboration within teams by providing tools for sharing and managing test plans, documentation, and results. Additionally, Teste.ai employs OpenAI's advanced language models to ensure precise and relevant answers to testing queries.

In summary, Teste.ai is a comprehensive platform that utilizes artificial intelligence to enhance the quality and efficiency of software testing processes for professionals and teams, offering a range of tools and features that streamline testing activities and promote productivity.

DeepUnit is an automated unit testing tool designed to help developers code with confidence. It offers features to assist in creating and running unit tests efficiently. DeepUnit 2.0 is available for waitlist sign-ups, while DeepUnit 1.0 can be found on NPM or on VS Code.

Roost AI is a testing tool that serves as a testing co-pilot powered by Generative AI and Large Language Models. It offers sophisticated test case generation with context-aware automation to adapt to complex software environments. Some of the pros of Roost AI include the conversion of user stories into test cases, automatic generation of test cases, automation of contract testing, fast acceptance testing with preview URLs, on-demand ephemeral test environments, automated mapping and intelligent testing, utilization of existing IaC scripts, test insertion at user story and code repository, auto-discovery of environment configuration, automated testing changes with existing frameworks. Roost AI is compatible with popular DevOps tools, integrates with popular cloud services, and streamlines the software testing process to enhance software quality. On the other hand, some cons include dependency on user story insertion and code repository insertion, limitation to CloudFormation or Terraform, potential complexity for beginners, reliance on existing IaC scripts, requirement for source code repositories, heavy focus on cloud services without cost information, lack of an offline mode, and possible integration challenges.

Keploy is an open-source API test case and data mock generation tool designed for developers to simplify end-to-end testing processes. By leveraging artificial intelligence, Keploy allows developers to achieve high test coverage quickly by converting user traffic into test cases and data stubs. This tool addresses common challenges in software development such as manual test writing, dependency management, and reproducing production issues for testing and debugging. With features like test generation, test deduplication, and native integration, Keploy streamlines testing processes and enhances collaboration among team members.

Keploy has been recognized and trusted by reputable companies such as Pixis, Instaastro, Amazon, Reliance, and others. The tool empowers developers to accelerate development processes by capturing network interactions, automating scenarios, and seamlessly integrating the tool into their workflows. It also encourages developers to challenge its test coverage capabilities by sharing their application dependencies. If Keploy successfully generates API tests, developers can keep the tests or receive a $100 reward if the tool is unable to deliver. Overall, Keploy aims to streamline testing processes, improve test coverage, and enhance developer productivity.

ACCELQ is an AI-powered Codeless Test Automation platform designed to facilitate and accelerate continuous testing in software development. It offers a unified platform for managing tests across various environments such as web, mobile, and API. ACCELQ transcends traditional coding barriers with its 'no-code' feature, capable of handling complex real-world tests while remaining intuitive and scalable. The platform integrates seamlessly into Agile development environments, empowering users to maintain quality throughout the development process. Additionally, ACCELQ provides training and certification programs for users to enhance their skills on the platform.

Testsigma is an artificial intelligence-driven test automation tool that enables the creation of tests in plain English using a low-code approach. It is known for its stability and reliability, reducing test flakiness and supporting a wide range of application testing including web, mobile app, and API. Testsigma leverages natural language processing for test authoring, features an 'auto-healing' mechanism for tests, and includes an AI-powered Suggestions Engine for efficient fault resolution and predictive defect identification. The tool offers features like visual testing, test execution both on the cloud and locally, continuous testing support, and integrates with CI/CD platforms seamlessly. Testsigma is a unified platform for test management, providing capabilities for test authoring, execution, reporting, analytics, and test data management.

QA.tech is an AI-driven QA testing solution categorized under "Testing Tools." It offers advanced capabilities for software quality assurance in agile development environments. The platform features an Autonomous QA Engineer that scans web applications, generates detailed bug reports, provides instant feedback, and enhances productivity. QA.tech dynamically adapts to changes on websites, configures tests based on personalized data, integrates seamlessly with development pipelines, and offers real-time insights. Additionally, it provides smart evaluation systems for actionable insights, developer-friendly bug reports, and notifications through preferred messaging apps to keep teams informed. The platform aims to revolutionize software testing by automating QA processes through AI technology, saving time, reducing errors, and improving software quality.

Snyk is a developer security platform that integrates into development tools, workflows, and automation pipelines. It helps teams to identify, prioritize, and resolve security vulnerabilities in code, dependencies, containers, and infrastructure as code. Supported by industry-leading application and security intelligence, Snyk provides security expertise to developers, aiming to ensure software is shipped faster and more securely. Snyk offers a range of products like Snyk Code, Snyk Open Source, Snyk Container, and Snyk Infrastructure as Code, focusing on different aspects of application security, software supply chain security, and fixing vulnerabilities.

TestDriver is a testing tool that allows engineers to quickly build tests without the need for maintenance. It simplifies the test-writing process by enabling engineers to instruct TestDriver using natural language via a Command Line Interface (CLI), without the requirement to find selectors. TestDriver interacts with the application based on these natural language instructions, eliminating the need for manual QA testing. It generates YML test files containing optimized instructions for test repetition and utilizes fuzzy matching and self-healing mechanisms to adapt to application changes. TestDriver can be deployed using GitHub Actions for automated testing, providing visibility through video and logs powered by Dashcam.io. This tool is specifically designed for engineers, expands standard testing methodologies, integrates with GitHub, and focuses on end-to-end testing and exploratory testing. However, it is limited to GitHub integration and lacks support for multi-platforms, manual testing, and detailed information on security.