Best AI tools for< Drive Quality Assurance >

Archy is a 360˚ AI product management assistant designed to enhance product management for product managers, product owners, and agile teams. It provides personalized guidance, streamlining tasks for faster and more efficient workflows. Archy goes beyond traditional product management tools by actively contributing to the planning and execution phases. By analyzing historical data, industry trends, and team performance, Archy offers tailored recommendations to enhance the clarity and effectiveness of product requirements. With AI-driven suggestions for epics, user stories, and acceptance criteria, Archy ensures projects reach optimal levels of productivity.

Medallia is an AI-powered text analytics software that enables users to uncover high-impact insights and drive actions with real-time, human-centric text analytics. It offers comprehensive feedback capture, role-based reporting, AI & analytics, integrations, and enterprise-grade security. The platform helps organizations analyze unstructured data, derive hidden meanings behind words, create customizable KPIs, and build out-of-the-box topic models for various industries and use cases.

HuLoop Automation is an AI-powered platform that offers intelligent automation solutions for businesses. It provides a no-code platform for automating complex business processes, test automation, and productivity discovery. With a focus on human-in-the-loop decisioning, HuLoop aims to simplify automation implementation and make it fast and affordable for companies. The platform integrates with existing technologies, offers data-driven recommendations, and helps organizations optimize their processes for increased efficiency and productivity.

Optimal AI is an AI platform designed for software engineering teams to measure, optimize, and act on metrics to drive impactful outcomes. It helps in improving engineering efficiency, customer delivery, and prioritizing initiatives that deliver customer value. The platform aggregates and reconciles performance data at the team and project level, providing real-time visibility into delivery and insights to enhance processes and interactions in engineering.

Prosodica is a contact center analytics platform that uses AI and machine learning to analyze conversational speech behaviors and non-verbal measures to provide a human-like perspective of conversational quality. It helps businesses optimize operations, improve agent performance, and increase customer loyalty.

Prosodica is a cloud-based contact center analytics platform that uses AI and machine learning to analyze 100% of customer interactions. It provides real-time insights into agent performance, customer satisfaction, and business trends. Prosodica helps contact centers improve their operations, increase agent productivity, and drive customer loyalty.

Convin is an omnichannel contact center platform powered by conversation intelligence. It offers a full-stack conversations QA platform for contact centers, AI learning management system for faster agent onboarding, real-time agent assist for improved conversions, automated agent coaching for personalized training, supervisor assist for tracking and assistance, and insights to collect 100% of customer intelligence. The platform also provides automated QA to audit and score customer conversations, analytics for quality management, and a mobile app for on-the-go access. Convin helps businesses in various industries like sales, support, compliance, collection, retention, healthtech, fintech, insurtech, edtech, real estate, hospitality & travel, and BPO to enhance customer interactions and drive revenue.

EdgeTier is a customer engagement platform that uses AI to improve the efficiency and quality of customer interactions. It offers a range of features, including real-time trend detection, agent quality assessment, and personalized agent prompts. EdgeTier is used by a variety of businesses, including retail, travel, gaming, and utilities, to improve customer satisfaction and drive retention.

checklist.gg is an AI-driven checklist management tool that helps organizations streamline their processes and ensure tasks are completed efficiently. It leverages the latest GPT AI engine to create customized checklists, processes, and SOPs tailored to specific needs. With features like task management, workflow management, real-time collaboration, integration with other tools, and a library of over 1,000 templates, checklist.gg aims to improve productivity, reduce errors, and drive continuous process improvement.

Loris is a conversational intelligence platform designed for leading brands to unlock the hidden value of every customer conversation. It combines proven machine learning and generative AI to provide industry-leading conversation intelligence. Loris helps customer service teams be more efficient, improve customer experience, and drive revenue growth by transforming customer conversations into actionable insights. The platform offers features such as automated quality assurance, real-time agent co-pilot, and customer insights to enhance agent performance and increase customer satisfaction.

Observe.AI is a conversation intelligence software designed for contact centers, offering a suite of AI-powered tools to enhance customer interactions, support agents in real-time, and improve overall customer satisfaction. The platform combines advanced analytics, automation, and real-time assistance to drive continuous improvement and boost operational efficiency. Trusted by over 350 enterprises worldwide, Observe.AI helps businesses transform customer conversations into actionable insights, leading to measurable results such as increased sales conversions, improved compliance adherence, and enhanced customer sentiment.

Balto is a real-time guidance platform designed for contact centers, powered by AI technology. It offers features such as real-time coaching, QA copilot, notetaking automation, and integrations with various CCaaS systems. Balto aims to improve agent performance, enhance customer experience, ensure compliance, and drive sales growth through behavior change and perfect conversations on every call.

GiteAI is an AI-powered tool designed to enhance collaboration and productivity for software development teams. It leverages machine learning algorithms to automate code reviews, identify bugs, and suggest improvements in real-time. With GiteAI, developers can streamline their workflow, reduce manual efforts, and ensure code quality. The platform integrates seamlessly with popular version control systems like GitHub, GitLab, and Bitbucket, providing actionable insights and analytics to drive continuous improvement.

Second is an AI-native enterprise codebase maintenance platform that offers automated migrations and upgrades for software engineering teams. It provides a seamless process for handling code migrations and upgrades, allowing teams to focus on building innovative software. With AI planning and execution agents, Second streamlines the code transformation process, enabling faster project completion and enhanced codebase intelligence. The platform prioritizes security and compliance, ensuring data protection and operational effectiveness. Second aims to revolutionize software engineering by automating routine tasks and empowering human engineers to drive productivity and innovation.

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.

MaestroQA is a comprehensive Call Center Quality Assurance Software that offers a range of products and features to enhance QA processes. It provides customizable report builders, scorecard builders, calibration workflows, coaching workflows, automated QA workflows, screen capture, accurate transcriptions, root cause analysis, performance dashboards, AI grading assist, analytics, and integrations with various platforms. The platform caters to industries like eCommerce, financial services, gambling, insurance, B2B software, social media, and media, offering solutions for QA managers, team leaders, and executives.

Qualint is an AI-driven platform revolutionizing call center quality assurance. It empowers call centers with superior analytics, comprehensive call analysis, and streamlined operations. The platform provides real-time insights, tailored quality standards, and enhances collaboration to ensure every customer interaction is understood. Qualint offers core features such as real-time call uploads & analysis, efficiency improvement, information accessibility, and team communication. With different pricing plans, Qualint caters to call centers of all sizes, from small to large, helping them optimize agent performance, navigate regulatory challenges, and elevate customer service.

AI Checklist Generator is an AI tool that helps users create custom checklist templates for various processes across different industries. It leverages AI technology to streamline the checklist creation process, ensuring accuracy and efficiency. The tool offers a wide range of pre-designed checklist templates tailored to specific industries, such as accounting, advertising, agriculture, construction, consulting, e-commerce, education, engineering, financial services, hotel & hospitality, human resources, information technology, insurance, law firm, manufacturing, marketing, property management, real estate, restaurant, retail, software development, and transportation. Users can easily customize these templates or create their own checklists using AI-powered features.

InsightPro is a workforce analytics platform specifically designed for healthcare payers. It integrates claims processing, quality assurance, training, and contact center functionalities, all powered by AI and machine learning. The platform offers capabilities such as dashboards, team productivity, workforce optimization, workload management, workforce access, real-time monitoring, and training management. InsightPro aims to improve operational efficiencies, reduce costs, enhance workforce planning, and foster team collaboration within payer organizations.

Carbonate is an AI-driven automated end-to-end testing tool that allows users to write automated browser tests in plain English. It converts simple language instructions into end-to-end tests, providing flexibility and robustness in testing web applications. Carbonate intelligently analyzes HTML changes, generates test scripts, and offers SDK integrations for PHP, Node, and Python. It ensures performance optimization and reliability by caching test scripts and adapting to UI changes. The tool empowers developers and organizations to speed up development, increase stability, and automate testing processes.

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.

Tegon is an open-source AI-First issue tracking tool designed for engineering teams. It aims to simplify task management by leveraging AI and integrations to automate task creation, prioritize tasks, and enhance bug resolution. Tegon offers features like issues tracking, automatic title generation, AI-generated labels and assignees, custom views, and upcoming features like sprints and task prioritization. It integrates with GitHub, Slack, and Sentry to streamline issue tracking processes. Tegon also plans to introduce AI Agents like PR Agent and Bug Agent to enhance product management and bug resolution. Contributions are welcome, and the product is licensed under the MIT License.

AI-Driven Research Assistant is an advanced AI-powered system utilizing specialized agents for data analysis, visualization, and report generation. It integrates LangChain, OpenAI's GPT models, and LangGraph for complex research processes. Key features include hypothesis generation, data processing, web search, code generation, and report writing. The system's unique Note Taker agent maintains project state, reducing overhead and improving context retention. System requirements include Python 3.10+ and Jupyter Notebook environment. Installation involves cloning the repository, setting up a Conda virtual environment, installing dependencies, and configuring environment variables. Usage instructions include setting data, running Jupyter Notebook, customizing research tasks, and viewing results. Main components include agents for hypothesis generation, process supervision, visualization, code writing, search, report writing, quality review, and note-taking. Workflow involves hypothesis generation, processing, quality review, and revision. Customization is possible by modifying agent creation and workflow definition. Current issues include OpenAI errors, NoteTaker efficiency, runtime optimization, and refiner improvement. Contributions via pull requests are welcome under the MIT License.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

DevQualityEval is an evaluation benchmark and framework designed to compare and improve the quality of code generation of Language Model Models (LLMs). It provides developers with a standardized benchmark to enhance real-world usage in software development and offers users metrics and comparisons to assess the usefulness of LLMs for their tasks. The tool evaluates LLMs' performance in solving software development tasks and measures the quality of their results through a point-based system. Users can run specific tasks, such as test generation, across different programming languages to evaluate LLMs' language understanding and code generation capabilities.

Auto Playwright is a tool that allows users to run Playwright tests using AI. It eliminates the need for selectors by determining actions at runtime based on plain-text instructions. Users can automate complex scenarios, write tests concurrently with or before functionality development, and benefit from rapid test creation. The tool supports various Playwright actions and offers additional options for debugging and customization. It uses HTML sanitization to reduce costs and improve text quality when interacting with the OpenAI API.

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.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

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.

Micro Agent is an AI tool designed to write and fix code for users by generating code that passes specified tests or matches design screenshots. It aims to streamline the code generation process by leveraging AI capabilities to iterate and improve code until desired outcomes are achieved. The tool focuses on test-driven development and provides interactive features for user feedback. Micro Agent is not intended to be a comprehensive development tool but rather a specialized agent for code generation and iteration.

Fuji-Web is an intelligent AI partner designed for full browser automation. It autonomously navigates websites and performs tasks on behalf of the user while providing explanations for each action step. Users can easily install the extension in their browser, access the Fuji icon to input tasks, and interact with the tool to streamline web browsing tasks. The tool aims to enhance user productivity by automating repetitive web actions and providing a seamless browsing experience.

Devoxx Genie is a Java-based IntelliJ IDEA plugin that integrates with local and cloud-based LLM providers to aid in reviewing, testing, and explaining project code. It supports features like code highlighting, chat conversations, and adding files/code snippets to context. Users can modify REST endpoints and LLM parameters in settings, including support for cloud-based LLMs. The plugin requires IntelliJ version 2023.3.4 and JDK 17. Building and publishing the plugin is done using Gradle tasks. Users can select an LLM provider, choose code, and use commands like review, explain, or generate unit tests for code analysis.

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