Best AI tools for< Software Testing >

Teste.ai is an AI-powered platform that allows users to create software test scenarios and cases using top-notch artificial intelligence technology. The platform offers a variety of tools based on AI to accelerate the software quality testing journey, enabling testers to cover a larger number of requirements with a wide range of test scenarios. Teste.ai helps users save time and increase efficiency in creating, executing, and managing software tests by leveraging intelligent features like generating comprehensive test plans, scenarios, step-by-step guides, and structured data. The platform also provides advanced testing strategies, such as boundary value analysis, usability testing, security testing, and performance testing, ensuring comprehensive coverage of different aspects of the system.

Momentic is a purpose-built AI tool for modern software testing, offering automation for E2E, UI, API, and accessibility testing. It leverages AI to streamline testing processes, from element identification to test generation, helping users shorten development cycles and enhance productivity. With an intuitive editor and the ability to describe elements in plain English, Momentic simplifies test creation and execution. It supports local testing without the need for a public URL, smart waiting for in-flight requests, and integration with CI/CD pipelines. Momentic is trusted by numerous companies for its efficiency in writing and maintaining end-to-end tests.

TestCraft is an AI-powered assistant in software testing that leverages the capabilities of GPT-4 to simplify the testing process and enhance product quality. It generates automated tests for various automation frameworks and programming languages, helps in ideation by producing innovative test ideas, ensures project accessibility by identifying potential issues, and streamlines the testing process by transforming test ideas into automated tests. TestCraft aims to make software testing more efficient and effective.

TestArmy is an AI-driven software testing platform that offers an army of testing agents to help users achieve software quality by balancing cost, speed, and quality. The platform leverages AI agents to generate Gherkin tests based on user specifications, automate test execution, and provide detailed logs and suggestions for test maintenance. TestArmy is designed for rapid scaling and adaptability to changes in the codebase, making it a valuable tool for both technical and non-technical users.

Parasoft is an intelligent automated testing and quality platform that offers a range of tools covering every stage of the software development lifecycle. It provides solutions for compliance standards, automated software testing, and various industries' needs. Parasoft helps users accelerate software delivery, ensure quality, and comply with safety and security standards.

BugRaptors is an AI-powered quality engineering services company that offers a wide range of software testing services. They provide manual testing, compatibility testing, functional testing, UAT services, mobile app testing, web testing, game testing, regression testing, usability testing, crowd-source testing, automation testing, and more. BugRaptors leverages AI and automation to deliver world-class QA services, ensuring seamless customer experience and aligning with DevOps automation goals. They have developed proprietary tools like MoboRaptors, BugBot, RaptorVista, RaptorGen, RaptorHub, RaptorAssist, RaptorSelect, and RaptorVision to enhance their services and provide quality engineering solutions.

Tricentis is an AI-powered testing tool that offers a comprehensive set of test automation capabilities to address various testing challenges. It provides end-to-end test automation solutions for a wide range of applications, including Salesforce, mobile testing, performance testing, and data integrity testing. Tricentis leverages advanced ML technologies to enable faster and smarter testing, ensuring quality at speed with reduced risk, time, and costs. The platform also offers continuous performance testing, change and data intelligence, and model-based, codeless test automation for mobile applications.

Supertest is an AI copilot designed for software testing, aimed at revolutionizing the way unit tests are written. By integrating with VS Code, Supertest allows users to create unit tests in seconds with just one click. The tool automates various QA engineering tasks using cutting-edge AI technology, saving users time and effort in the testing process. With different pricing plans available, Supertest caters to a wide range of users from individual developers to large development teams.

Autify is an AI testing company focused on solving challenges in automation testing. They aim to make software testing faster and easier, enabling companies to release faster and maintain application stability. Their flagship product, Autify No Code, allows anyone to create automated end-to-end tests for applications. Zenes, their new product, simplifies the process of creating new software tests through AI. Autify is dedicated to innovation in the automation testing space and is trusted by leading organizations.

RoostGPT is an AI-driven testing copilot that offers automated test case generation and code scanning services. It leverages Generative-AI and Large Language Models (LLMs) to provide reliable software testing solutions. RoostGPT helps in achieving 100% test coverage by generating test cases and detecting static vulnerabilities in source code and logs. The platform is trusted by global financial institutions and aims to free up developer time by automating test case generation, thereby allowing developers to focus on coding and innovation. RoostGPT also enhances test accuracy and coverage by identifying overlooked edge cases that humans might miss. It ensures that sensitive data is not leaked through its code scanning capabilities. The platform caters to industry leaders who prioritize staying ahead in the age of agentic workflows.

AI Generated Test Cases is an innovative tool that leverages artificial intelligence to automatically generate test cases for software applications. By utilizing advanced algorithms and machine learning techniques, this tool can efficiently create a comprehensive set of test scenarios to ensure the quality and reliability of software products. With AI Generated Test Cases, software development teams can save time and effort in the testing phase, leading to faster release cycles and improved overall productivity.

testRigor is an AI-based test automation tool that allows users to create and execute test cases using plain English instructions. It leverages generative AI in software testing to automate test creation and maintenance, offering features such as no code/codeless testing, web, mobile, and desktop testing, Salesforce automation, and accessibility testing. With testRigor, users can achieve test coverage faster and with minimal maintenance, enabling organizations to reallocate QA engineers to build API tests and increase test coverage significantly. The tool is designed to simplify test automation, reduce QA headaches, and improve productivity by streamlining the testing process.

ACCELQ is a powerful AI-driven test automation platform that offers codeless automation for web, desktop, mobile, and API testing. It provides a unified platform for continuous delivery, full-stack automation, and manual testing integration. ACCELQ is known for its industry-first no-code, no-setup mobile automation platform and comprehensive API automation capabilities. The platform is designed to handle real-world complexities with zero coding required, making it intuitive and scalable for businesses of all sizes.

Zeus Notebook is an AI code assistant designed by Ying Hang Seah. It allows users to run a Python notebook entirely on their browser. Users can enter their OpenAI API key to enable chat functionality. The application is a helpful tool for developers and programmers to get assistance with coding tasks and projects.

Mabl is a leading unified test automation platform built on cloud, AI, and low-code innovations that delivers a modern approach ensuring the highest quality software across the entire user journey. Our SaaS platform allows teams to scale functional and non-functional testing across web apps, mobile apps, APIs, performance, and accessibility for best-in-class digital experiences.

Functionize is an AI-powered test automation platform that helps enterprises improve their product quality and release faster. It uses machine learning to automate test creation, maintenance, and execution, and provides a range of features to help teams collaborate and manage their testing process. Functionize integrates with popular CI/CD tools and DevOps pipelines, and offers a range of pricing options to suit different needs.

U-xer is an innovative automation tool developed by Quality Museum Software Testing Services. It is designed to meet a broad range of needs, including Robotic Process Automation (RPA), test automation, and bot development. Crafted with user flexibility in mind, U-xer aims to be a user-friendly solution for your automation requirements! U-xer's unique screen recognition models interpret screens in the same way that humans do. This enables non-technical users to automate simple tasks, while allowing advanced users to tackle more complex tasks with ease. With U-xer, you can automate anything, anywhere, whether it's Web or Desktop. U-xer works seamlessly across all platforms with just a screenshot. Unlike other tools, U-xer interprets screens just like a human does, enabling more natural and accurate automation of a wide range of tasks.

Merlin AI is an AI Chrome Extension and web app that serves as an AI-powered assistant, offering top AI models like ChatGPT, GPT 4, Claude, Opus, Llama, Mistral, etc. It enables users to generate AI responses on Google search, summarize YouTube videos, blogs, documents, write posts, and reply to comments on various platforms. Merlin supports over twenty-five languages and provides a range of AI tools for different tasks.

ABtesting.ai is an AI-powered A/B testing software that helps businesses optimize their landing pages for conversions. It uses GPT-3 to generate automated text suggestions for headlines, copy, and call to actions, saving businesses time and effort. The software also automatically chooses the best combinations of elements to show to users, boosting conversion rates in the process. ABtesting.ai is easy to use and requires no manual work, making it a great option for businesses of all sizes.

Nuro is an autonomous technology company focused on revolutionizing mobility through robotics and AI. They offer cutting-edge AI-first autonomy solutions for automotive and mobility applications, including robotaxis and autonomous vehicles. Nuro's state-of-the-art AV technology, Nuro Driver™, is designed to drive safely and naturally on all roads using groundbreaking AI-first autonomy. The company prioritizes safety in all aspects of its operations, from hardware and software to testing and systems engineering. With 8 years of autonomy innovation, Nuro aims to transform the way goods and people move by empowering fleets with AI-first autonomous capabilities.

Mutahunter is an open-source language-agnostic mutation testing tool maintained by CodeIntegrity. It leverages LLM models to inject context-aware faults into codebase, ensuring comprehensive testing. The tool aims to empower companies and developers to enhance test suites and improve software quality by verifying the effectiveness of test cases through creating mutants in the code and checking if the test cases can catch these changes. Mutahunter provides detailed reports on mutation coverage, killed mutants, and survived mutants, enabling users to identify potential weaknesses in their test suites.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. It supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled APIs. The tool generates JUnit tests in Java or Kotlin, focusing on fault detection, self-contained tests, SQL handling, and authentication. Known limitations include manual driver creation for whitebox testing and longer execution times for better results. EvoMaster has been funded by ERC and RCN grants.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses an Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. The tool supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled languages. It generates JUnit tests, detects faults, handles SQL databases, and supports authentication. EvoMaster has been funded by the European Research Council and the Research Council of Norway.

Academic_LLM_Sec_Papers is a curated collection of academic papers related to LLM Security Application. The repository includes papers sorted by conference name and published year, covering topics such as large language models for blockchain security, software engineering, machine learning, and more. Developers and researchers are welcome to contribute additional published papers to the list. The repository also provides information on listed conferences and journals related to security, networking, software engineering, and cryptography. The papers cover a wide range of topics including privacy risks, ethical concerns, vulnerabilities, threat modeling, code analysis, fuzzing, and more.

Aircrack-ng is a comprehensive suite of tools designed to evaluate the security of WiFi networks. It covers various aspects of WiFi security, including monitoring, attacking (replay attacks, deauthentication, fake access points), testing WiFi cards and driver capabilities, and cracking WEP and WPA PSK. The tools are command line-based, allowing for extensive scripting and have been utilized by many GUIs. Aircrack-ng primarily works on Linux but also supports Windows, macOS, FreeBSD, OpenBSD, NetBSD, Solaris, and eComStation 2.

The collection is actively updated with the help of an internal literature search engine.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

DevOpsGPT is an AI-driven software development automation solution that combines Large Language Models (LLM) with DevOps tools to convert natural language requirements into working software. It improves development efficiency by eliminating the need for tedious requirement documentation, shortens development cycles, reduces communication costs, and ensures high-quality deliverables. The Enterprise Edition offers features like existing project analysis, professional model selection, and support for more DevOps platforms. The tool automates requirement development, generates interface documentation, provides pseudocode based on existing projects, facilitates code refinement, enables continuous integration, and supports software version release. Users can run DevOpsGPT with source code or Docker, and the tool comes with limitations in precise documentation generation and understanding existing project code. The product roadmap includes accurate requirement decomposition, rapid import of development requirements, and integration of more software engineering and professional tools for efficient software development tasks under AI planning and execution.

hackingBuddyGPT is a framework for testing LLM-based agents for security testing. It aims to create common ground truth by creating common security testbeds and benchmarks, evaluating multiple LLMs and techniques against those, and publishing prototypes and findings as open-source/open-access reports. The initial focus is on evaluating the efficiency of LLMs for Linux privilege escalation attacks, but the framework is being expanded to evaluate the use of LLMs for web penetration-testing and web API testing. hackingBuddyGPT is released as open-source to level the playing field for blue teams against APTs that have access to more sophisticated resources.

UnrealOpenAIPlugin is a comprehensive Unreal Engine wrapper for the OpenAI API, supporting various endpoints such as Models, Completions, Chat, Images, Vision, Embeddings, Speech, Audio, Files, Moderations, Fine-tuning, and Functions. It provides support for both C++ and Blueprints, allowing users to interact with OpenAI services seamlessly within Unreal Engine projects. The plugin also includes tutorials, updates, installation instructions, authentication steps, examples of usage, blueprint nodes overview, C++ examples, plugin structure details, documentation references, tests, packaging guidelines, and limitations. Users can leverage this plugin to integrate powerful AI capabilities into their Unreal Engine projects effortlessly.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

SuperCoder is an open-source autonomous software development system that leverages advanced AI tools and agents to streamline and automate coding, testing, and deployment tasks, enhancing efficiency and reliability. It supports a variety of languages and frameworks for diverse development needs. Users can set up the environment variables, build and run the Go server, Asynq worker, and Postgres using Docker and Docker Compose. The project is under active development and may still have issues, but users can seek help and support from the Discord community or by creating new issues on GitHub.

AI Verify is an AI governance testing framework and software toolkit that validates the performance of AI systems against internationally recognised principles through standardised tests. It offers a new API Connector feature to bypass size limitations, test various AI frameworks, and configure connection settings for batch requests. The toolkit operates within an enterprise environment, conducting technical tests on common supervised learning models for tabular and image datasets. It does not define AI ethical standards or guarantee complete safety from risks or biases.

Kaizen is an open-source project that helps teams ensure quality in their software delivery by providing a suite of tools for code review, test generation, and end-to-end testing. It integrates with your existing code repositories and workflows, allowing you to streamline your software development process. Kaizen generates comprehensive end-to-end tests, provides UI testing and review, and automates code review with insightful feedback. The file structure includes components for API server, logic, actors, generators, LLM integrations, documentation, and sample code. Getting started involves installing the Kaizen package, generating tests for websites, and executing tests. The tool also runs an API server for GitHub App actions. Contributions are welcome under the AGPL License.

AI Verify is an AI governance testing framework and software toolkit that validates the performance of AI systems against a set of internationally recognised principles through standardised tests. AI Verify is consistent with international AI governance frameworks such as those from European Union, OECD and Singapore. It is a single integrated toolkit that operates within an enterprise environment. It can perform technical tests on common supervised learning classification and regression models for most tabular and image datasets. It however does not define AI ethical standards and does not guarantee that any AI system tested will be free from risks or biases or is completely safe.

LLM-PLSE-paper is a repository focused on the applications of Large Language Models (LLMs) in Programming Language and Software Engineering (PL/SE) domains. It covers a wide range of topics including bug detection, specification inference and verification, code generation, fuzzing and testing, code model and reasoning, code understanding, IDE technologies, prompting for reasoning tasks, and agent/tool usage and planning. The repository provides a comprehensive collection of research papers, benchmarks, empirical studies, and frameworks related to the capabilities of LLMs in various PL/SE tasks.

OpenDevin is an open-source project aiming to replicate Devin, an autonomous AI software engineer capable of executing complex engineering tasks and collaborating actively with users on software development projects. The project aspires to enhance and innovate upon Devin through the power of the open-source community. Users can contribute to the project by developing core functionalities, frontend interface, or sandboxing solutions, participating in research and evaluation of LLMs in software engineering, and providing feedback and testing on the OpenDevin toolset.

CodiumAI Cover Agent is a tool designed to help increase code coverage by automatically generating qualified tests to enhance existing test suites. It utilizes Generative AI to streamline development workflows and is part of a suite of utilities aimed at automating the creation of unit tests for software projects. The system includes components like Test Runner, Coverage Parser, Prompt Builder, and AI Caller to simplify and expedite the testing process, ensuring high-quality software development. Cover Agent can be run via a terminal and is planned to be integrated into popular CI platforms. The tool outputs debug files locally, such as generated_prompt.md, run.log, and test_results.html, providing detailed information on generated tests and their status. It supports multiple LLMs and allows users to specify the model to use for test generation.

Ensures software reliability through comprehensive manual testing.

Expert in Software Testing, Test Automation, And AI. Modeled after Jason Arbon.

Chat with Software Testing Experts. Ping Jason if you won't want to be an expert or have feedback.

Test Shaman: Guiding software testing with Grug wisdom and humor, balancing fun with practical advice.

Expert in software performance testing and optimization 📊

Generates fictional user profiles for software testing

Software code tester and debugger

Makes every Sofware Tester an Expert Prompt Engineer

lag enhetstester som er complient med knowlegdebase

Expert in Selenium test automation, providing practical advice and solutions.

Algorithm-focused test case generator.

iOS Engineer expert in crafting and refining unit tests.

I provide Automation QA interview prep and conduct mock interviews.

Ensures software quality through automated testing strategies.

Ensures software performance meets organizational standards and expectations.

Ensures software security through comprehensive testing techniques.

Expert software architect with experience in design, construction, development, testing and deployment of Web, Mobile and Standalone software architectures

Assists in writing React Native tests using the React Native Testing Library.

Multilingual AI for Vitest unit testing management.

Ensures product quality through rigorous, systematic testing processes.