Common questions about what algoQA does and how its features work. Select a question to expand its answer. With algoQA, all you need to do is Test Design the application under test and design tests using the Test Design feature. You design an offline model of the application under test. Once you have profiled and designed tests, algoQA produces Gherkin-based Feature Files and readily executable scripts. DOM scraping, also known as web scraping, is the process of extracting data from a web page or application using algoScraper. This tool captures all UI elements and their corresponding XPaths present on a web page or application. The tool is able to scrape complex DOM elements such as Shadow DOM elements. These locators are stored in the centralized Object Repository in algoQA. The algoQA platform supports the automation of various applications and types of testing, which includes: - Applications: Web, Desktop, Mobile, Hybrid, Robotic Process Automation (RPA), and Embedded Software. - Types of testing: Smoke Testing, Sanity Testing, Regression Testing, Performance Testing, Load Testing, Release Testing, and User Acceptance Testing. algoQA supports test automation tools such as Selenium, Protractor, Playwright, Cypress, Karate, Appium, Squish, Sikulix, FlaUI, WinAppDriver, TestComplete, and LeanFT. As algoQA supports Java and C# scripting, you can leverage RestSharp and RestAssured respectively for API automation in addition to Karate. It also supports execution engines such as JBehave, NUnit, JUnit, TestNG, Cucumber, SpecFlow, and Pytest. Yes, algoQA is capable of automating data fetching and validation between a source product and a target product. **Data Fetching:** - algoQA can handle various data formats including XML, CSV, Excel, PDF, and custom files. - The tool supports data decoupling, allowing test data to be separated from scripts using YAML files for different environments or scripts. **Data Validation:** - algoQA validates UI table data against downloaded files (XML, CSV, Excel, PDF, etc.). - Expected data must be input into algoQA, and the tool can generate combinatorial data sets based on provided business rules. - Environment-specific expected data is managed in YAML files. - The tool can handle Windows alerts, file uploads and downloads, and verify file contents, including dynamic file or database data. Yes. algoQA supports end-to-end automation across both API and Web layers. Yes, algoQA can automate legacy desktop applications. Steps to automate desktop applications with algoQA: 1. Test Design the Application 2. Record Scenarios 3. Generate Test Cases 4. Update Object Repository 5. Execute the Scripts To include a space at the end of a value, you need to explicitly use "SPACE" to represent the trailing space. algoQA accelerates automation and produces scripts in the technology of your choice. The produced scripts can be executed anywhere on any of the execution cloud platforms like AWS, Azure, LambdaTest's HyperExecute, BrowserStack, and others. The prompting feature is not supported for API automation. algoQA can be used to test Large Language Models (LLMs) as it integrates Generative AI (GenAI) features powered by Amazon Bedrock. This integration leverages foundation models such as Mistral, Meta Llama, and Amazon Nova via AWS Bedrock APIs. The architecture ensures that all interactions are stateless and transient, with zero data retention, providing enterprise-grade security and compliance. To deploy algoQA with GenAI capabilities, you can either use AWS Bedrock or host LLMs on-premises. For AWS Bedrock deployment, you need to whitelist specific domains and ensure HTTPS protocol on port 443. For on-premises deployment, you need a 7B or above LLM variant and an API endpoint to access these models. Once deployed, algoQA can be utilized to accelerate test design and script execution, supporting both on-premises and hybrid cloud deployments. It integrates with enterprise LLMs, ensuring that all automation data and models remain within a secure perimeter. Yes, algoQA supports applications built on the .NET framework. algoQA is platform-agnostic and supports automation for web, mobile, and desktop applications. It can be used for applications built on various technologies, including Salesforce, SAP (e.g., SAP Fiori, SAP GUI), Pega, Blue Yonder (BY), and other enterprise tools. There are no limitations specific to the underlying platform or technology stack, which includes applications built on the .NET framework. **Supported Platforms:** - Web - Desktop - API - Mobile - Hybrid - Robotic Process Automation (RPA) - Embedded Software **Frameworks and Languages:** - Java-Selenium for web automation - TestComplete for desktop applications - Java-WinAppDriver and C#-WinAppDriver for Windows desktop applications - TypeScript-Playwright, Java Karate, and C# Selenium for web and desktop applications **Technical Features:** - Supports functional and performance testing - Offers AI and auto-healing for changes in the application - Can be deployed in-house within a firewall for privacy - Allows saving logs, screenshots, video clippings, and API responses - Captures backend (API) calls from UI interactions Yes, algoQA can automate Multi-Factor Authentication flows. Yes, when discussing test design in the context of algoQA, you are referring to both the creation of feature files and the subsequent generation of executable test scripts. Feature files serve as the input for test automation, and they are transformed into test scripts by the platform. This process allows testers to design and execute tests based on the requirements, ensuring that the expected behavior of the application is thoroughly tested. algoQA supports various test design approaches including prompting, online recording, offline recording, feature file to scripts conversion, and requirements to test cases and scripts generation. Prompting works in offline as well as online models. The algoQA model must be created with proper features and nodes to use prompting. algoQA leverages LLM models to find the correct locators to heal the scripts. algoQA stores the locator information along with the parent DOM information, and identifies the unique locators using this data. You have to input the expected data in algoQA, and this tool has the capability to generate the combinatorial data sets based on business rules that you provide. algoQA generates test data into a separate TestData yml file. Environment-specific data is managed in the yml files. Yes, algoQA handles Windows alerts and file upload and download popups. The framework includes various utilities to verify the content, including database data, PDF, and Excel files. If you wish to add a user-specific step or modify an existing step manually, then you can use the alias step text box. For example, in a login scenario where you want to add an alias step for verifying user profile details in the Dashboard, the Feature file will be generated with an alias step such as `And I verified the results in dashboard`. You can use this functionality when you are adding manual steps. You can add a new step or edit an existing step. Navigate to Test Design and click on Record Scenario. Enter the scenario name, outline the steps briefly, and click Submit to start recording a scenario. The Record Scenario window appears. Here, select the appropriate feature to view associated UI elements. Arrange the UI elements in the desired sequence. If you missed adding an action while arranging the sequence, you can still add it after creating the sequence. Click the Edit icon in the Scenario Steps List. Select the default action associated with the UI element's name, then click Save to add the missed step. This process allows you to modify and complete your recorded scenario even after the initial recording. Tests in algoQA can handle conditional flows or loops by using the Record Scenario feature to record the workflows for different dynamic values. This allows generating separate Feature Files for each condition or loop iteration. For example, you can record the workflow for a Home Loan and generate a Feature File, then record the workflow for a Car Loan and generate another Feature File. This approach ensures accurate testing of all possible conditions or loop iterations. You can inject your own code into the algoQA framework to test dynamic workflows, and algoQA Codebot can be used to create these custom functions. algoQA supports the reuse of common modules, such as login and logout, across different test cases through the use of custom scripts and libraries. This helps prevent code duplication. Custom scripts can be organized into folders within the platform for better management and structure. To create a custom script library, follow these steps: 1. Navigate to the Projects pane and select the project. 2. Click on the Action List and choose Custom actions, then click on the '+' icon to view the Code Editor. Use Codebot to create code. 3. Create a new file with the desired name and file extension, then save the changes. The custom script files are saved under the Utility folder, and you can create subfolders if needed. 4. Write your custom script code in the new file and save the changes, or use Codebot to write the code. 5. To use the custom script in your test cases, import the file using the import statement at the beginning of your test script file. By organizing your custom scripts into folders, you can maintain a clean and structured test automation framework. This makes it easier to manage and maintain your test scripts over time. Yes, custom actions can take parameters for reusable, flexible logic. You can configure custom actions to accept parameters. You can use algoQA Codebot and the custom settings editor to provide reusable parameters. Yes, you can modify or add node modules by using the customize framework feature. You can use code from other languages, but it should be compatible with the existing language and framework. Yes, test data can be decoupled from scripts in algoQA using the Data Decoupling option. This allows for data-driven testing and the use of separate YAML files for different environments or scripts. To use this feature, navigate to the Project Settings page, select the Data Decoupling option, and click Submit to generate a separate YAML file. Alternatively, you can use the Data Set option or upload an existing data set to generate test data in a separate YAML file. Yes, the algoQA tool validates the UI table data with XML, CSV, Excel, PDF, and other custom files. algoQA is committed to continuous improvement and innovation. You receive regular enhancements, release notes, bug fixes, new features, and performance optimizations through monthly updates, ensuring you always have access to the latest capabilities and a continuously evolving, robust testing solution. algoQA does not produce UFT scripts. algoQA supports multiple frameworks and capabilities such as Selenium, TestComplete, Playwright, Rest Assured, RestSharp, Squish, WinAppDriver, FlaUI, WebdriverIO, Appium, Cypress, LeanFT, Sikuli, JMeter, and more. Yes, algoQA supports integration with DevOps tools such as CircleCI, Jenkins, GitLab, and Maven, and ALM tools such as Jira, TestRail, TFS, HPALM, and more. algoQA accelerates automation by generating test scripts in the technology of your choice. These scripts can be stored in your version control or code repository tools. Yes, algoQA supports cross-browser testing with Chrome, Firefox, Microsoft Edge, Internet Explorer, Opera, and Safari. Yes, algoQA supports integration with test management tools like JIRA, TestRail, HP ALM, ZOHO, and TFS. Yes, parallel execution is fully supported. algoQA generates standard test scripts that can be executed in parallel using your preferred CI/CD tools or test runners (e.g., Selenium Grid, TestNG, JUnit, or cloud platforms like BrowserStack, Sauce Labs, etc.). algoQA itself is not required during execution. Yes, test execution can be scheduled and triggered automatically using CI/CD pipelines or job schedulers like Jenkins, GitLab CI, Azure DevOps, etc. You can integrate algoQA-generated scripts seamlessly into your existing automation workflow for scheduled or on-demand runs. algoQA provides flexible reporting, offering standard file formats like HTML, XML, Word, PDF, and JSON, alongside specialized reporting templates such as Cucumber, Allure, and Extent, with options for custom designs. Yes, algoQA allows you to design and generate custom reports tailored to your specific needs. Yes, with algoQA, defect management tool integration is possible. Whenever a test case fails, algoQA can create or update defects in defect management tools like JIRA by capturing relevant details such as logs, screenshots, and test data. algoQA scripts follow the BDD framework and the Page Object Model (POM). Each script includes step definitions, workflows, pages, and objects. Test data can be included within the feature files or maintained in separate feature files. algoQA supports auto-spying through algoScraper, which is available for web, mobile, and desktop applications. algoScraper helps in fetching objects, and also supports re-scraping to maintain them. Additionally, the auto-healing feature automatically handles object changes. Yes, the existing scripts generated by algoQA are reusable even when there are application changes. Simply make the necessary modifications to the scenario and re-generate the affected test cases and scripts. Additionally, algoQA allows full customization and extension of test scripts through: - **Custom Actions:** Create custom actions to meet specific testing requirements. - **Configuration:** Upload existing test scripts and files, generate new ones, and organize them as needed. - **Coordinate-Based Testing:** algoQA supports coordinate-based testing for scenarios where traditional locators are not available or applicable. This is enabled through integration with tools like Sikuli, Squish, and TestComplete. algoQA supports the following: - **Operating systems:** Windows, Linux, and Mac operating systems. - **Browsers supported:** Chrome, Microsoft Edge, Firefox, and Safari for cross-browser testing. - **Devices:** When it comes to handheld devices, algoQA supports both Android and iOS devices. The devices could include TV as well. algoQA supports Test Driven Development (TDD), in-sprint automation, and helps you realize continuous testing. algoQA is inherently Behavior-Driven Development (BDD) compliant. It also supports traditional development methodologies, such as the Waterfall model. Additionally, it accommodates various test cycles, such as Smoke Testing, Regression Testing, Release Testing, User Acceptance Testing, Performance Testing, Security Testing, and Load Testing. algoQA offers Various methods for designing tests: - **Offline Recorder** for you to design the test. - **Online Recorder**for recording users actions in a live application and generate scenarios. - **Prompting**for generating scenarios by providing simple prompts. - **Auto test case generation capability.** algoQA generates test cases for a given feature name based on your input. algoQA provides comprehensive test coverage, including code coverage from third-party tools. The platform accommodates: - **Workflow adaptation:** Whenever there is a change in the workflow, that can be accommodated in Test Design. - **Handling corner cases:** The platform is extensible to cover edge scenarios. - **Auto test case generation:** Auto test case generation works by allowing you to specify the features that you want to include in a test case. - **Auto-healing:** The algoQA platform provides an auto-healing feature that helps in addressing locator issues caused by changes in the application being tested (AUT). When the application being tested changes, the scripts may face issues locating specific elements. If this happens, the script might fail to execute. However, with the auto-healing feature enabled, it automatically identifies and fixes these issues with broken or changed elements. No, with algoQA anyone can test: business users, product owners, business analysts, developers, or testers. No technical knowledge is required, as there is hardly any intervention required beyond Test Design. Test Design is domain-intuitive and easy to use. That said, automation engineers and developers can write custom methods for incorporating any application-specific logic. To assign data for each test case in algoQA: - algoQA provides data generation capabilities, allowing you to create combinatorial datasets based on parameterized values. - You can supply a number of datasets separated from the CI/CD pipeline. - You can also supply data in a third-party file. - algoQA allows you to maintain a clear separation between data and test cases, letting you store test cases in feature files (FF) and keeping data in a separate XML or test file. For a scenario requiring combinatorial datasets, you can provide the data via a third-party file, such as a .json file, to store and manage your datasets. To perform this, you can download the file in .json format and perform the bulk upload. To access the Upload option, navigate to Canvas > More > Configuration > Upload. Note that when uploading third-party files, they are scanned for viruses before the upload process is completed to ensure the file is safe and secure. Transforming requirements into test cases with algoQA: - Test Design serves as the initial step in the production of test cases and scripts. - People who are familiar with the project requirements can easily create test cases using algoQA. - Once test cases are designed, algoQA generates feature files (FF) and readily executable test scripts. - algoQA's test scripts are generated in your preferred technology and can be executed from anywhere. Yes. algoQA is all about reuse. It produces step definitions in such a way that they are reused across test scripts. Yes, changes made outside algoQA have to be manually updated in the offline model of the AUT. Yes, algoQA can provide an audit trail. Yes, algoQA maintains logs along with their corresponding timestamps. Yes, algoQA includes a backup and restore feature. Yes, data is stored throughout the retention period. Yes, each build follows the algoQA release process. Yes, it is protected. Yes, algoQA data is encrypted. The Object Repository is a part of the script generation. It can also be viewed and edited in algoQA. When there are application changes, make appropriate changes to Test Design and re-generate test cases and scripts. You can re-generate test cases and test scripts selectively, specific to the changes in the application. algoQA helps in identifying the impacted test cases for a given code change. Yes, this can be done using algoQA. It is possible to create separate folders for different modules, and you can have meaningful folder names for corresponding modules. You can also selectively generate test cases specific to application changes. Yes, it is possible. During execution, when a test case fails or an application experiences an exception or downtime, the execution process automatically proceeds to the next test case, ensuring an uninterrupted testing workflow. Yes. Test cases are segregated module-wise and parallel execution is supported. Yes. Field-level validation is supported. The platform generates all negative datasets and boundary values. Yes, it is possible to view the Test Execution Report day-wise, download it, and share it with the relevant users. You can choose a selective test case and prioritize the test execution: - **By grouping test cases using the 'Tag' option:** Use the 'Tag' option to group and categorize your test cases based on specific criteria. This allows you to prioritize the test execution by selecting and running test cases with specific tags, focusing your testing efforts on the important scenarios. - **By pulling the selected test case scenarios:** Select specific test case scenarios from the available pool based on their relevance to a particular testing phase, their importance, or specific testing objectives. Prioritize the test execution by pulling and including these selected scenarios in your test plan, excluding others that may not be immediately relevant. The platform generates multiple combinatorial data sets for field-level validation. Yes, algoQA provides out-of-box integration with test management, test data management, source-code management, and defect management tools. Test cases and test data are stored in the respective Application Lifecycle Management (ALM) tools that you are using. HP ALM, TFS, ZOHO, TestRail, and Jira. You can store data in any of your ALM tools. It is part of the test cases document. Yes, algoQA supports internationalization and localization. However, test cases are generated in English like the Gherkin language, and scripts are generated in the technology of your choice. No, algoQA testing is not invasive unless you want to do something with unit testing. Yes. The algoQA platform is technology-agnostic. It supports the following: web services, green screen applications (including legacy systems and mainframes), supported UI controls, multi-language scripting, multiple reporting formats to choose from, database support, and modern web technologies. ETL testing is not supported. No, you do not have to write Gherkin scenarios manually. algoQA automatically generates optimal test cases written in Gherkin language along with associated datasets and executable test scripts after you profile your application. Yes, algoQA supports self-healing when locators change. It automatically detects changes in locators and adapts test scripts without requiring manual intervention. algoQA uses a combination of human and machine intelligence, including machine learning models, to identify application changes and heal the scripts, saving time, effort, and cost. There is no need to migrate the scripts to algoQA's infrastructure to execute them. Instead, you can download the scripts and execute them directly from the command prompt or anywhere. Yes, you own the test scripts generated by the platform and you can modify them later. - Test scripts generated by algoQA are in Gherkin language and are executable. - You can edit and modify these scripts to suit new testing requirements. - algoQA is designed to allow easy updating and maintenance of test scripts. - It supports reuse of test scenarios to increase efficiency. - Scripts integrate seamlessly with CI/CD pipelines and can be maintained as part of continuous testing efforts. To ensure that AI-generated prompts or scenarios are relevant to your domain, you can: - **Review and edit the generated scenarios:** After generating scenarios, carefully review them to ensure they align with your domain and make any necessary modifications. - **Provide custom data and configurations:** You can modify the data and configurations relevant to your domain when generating scenarios. - **Use domain-specific keywords and phrases:** Incorporate domain-specific keywords and phrases in the AI's learning process to improve the relevancy of generated scenarios. algoQA supports mobile automation comprehensively and is not limited to only Android devices. It provides automation capabilities across Android and iOS platforms for mobile apps and browsers. algoQA generates scripts for mobile automation using various tools and frameworks such as Appium, Squish, and Playwright. Yes, load and performance testing is supported in algoQA. Just as algoQA can generate Java-Selenium scripts for UI automation or Java-RestAssured scripts for API automation, algoQA can produce Java-JMeter scripts for load testing. algoQA supports URL-based load test automation and API-based load test automation. algoQA can track page speed and page load time for web applications, and similarly for mobile applications, algoQA measures app performance using APIs. Yes, scripts generated by algoQA can be readily integrated with Jenkins, GIT, and other CI/CD tools, source code management tools, test management tools, defect management tools, and test execution clouds. algoQA supports MySQL, SQL Server, MongoDB, PostgreSQL, and Amazon Redshift, and Oracle can be supported if there is a need. algoQA produces scripts using a technology of your choice, such as Selenium, Cypress, WebdriverIO, Appium, Squish, TestComplete, FlaUI, Karate, RestAssured, RestSharp, JMeter, and more. You can choose appropriate tools depending on the situation. algoQA can also combine these tools to address your needs. For example, algoQA can combine WinAppDriver and FlaUI together to offer an effective framework for desktop automation. algoQA can combine the Percy tool with Selenium to help with automation of visual regression. algoQA can combine WinAppDriver and Selenium to help with hybrid workflow automation. algoQA can also leverage COTS tools such as TestComplete and Squish. There could be scenarios where none of these tools succeed, and that becomes algoQA's limitation. Additionally, algoQA does not support ETL testing. algoQA accelerates automation and produces scripts in the technology of your choice. The produced scripts can be executed anywhere on any of the execution cloud platforms like AWS, Azure, LambdaTest's HyperExecute, BrowserStack, and others. Yes, one of AlgoShack's radiology informatics customers uses Google Cloud to execute scripts from algoQA. Yes, when the provided existing automation framework is open and flexible. Yes, AlgoShack has performed test automation for a product built on the Salesforce platform, specifically in the logistics space. Yes, you are able to update issues as and when a test case fails. Yes, credentials are required. The password is used in the form of a time-bound access token to ensure security. Yes, Prompting is compatible with A2A communication and modular context handling. Prompting in algoQA uses application-specific UI models created offline via algoQA as input to derive BDD test scenarios using foundation models hosted on AWS Bedrock. This automation approach aligns with A2A principles. The modular context handling ensures prompt inputs are tailored based on the component context (e.g., login vs. payment), using only relevant metadata per test case. algoQA supports automation for web, mobile, and desktop applications. It is platform-agnostic and can be used for applications built on technologies such as Salesforce, SAP (e.g., SAP Fiori, SAP GUI), Pega, Blue Yonder (BY), and other enterprise tools. There are no limitations specific to the underlying platform or technology stack. **Tool License Cost:** | Overview | For Individuals (Freemium) | For Startups (Pro) | For Business (Enterprise) | | ------------------------------------------------------------------- | -------------------------- | ------------------------------------------------ | ------------------------------------------------ | | Cost | $0 USD /Lifetime | Custom [Pricing](https://algoshack.net/pricing/) | Custom [Pricing](https://algoshack.net/pricing/) | | Number of Users | Individual | Up to 5 users | More than 5 users | | Number of Test Cases | 15 per Month | Unlimited | Unlimited | | Number of Projects | Unlimited | Unlimited | Unlimited | | [Web Automation](https://www.youtube.com/watch?v=HpHt5bc3xuA) | Java-Selenium | Yes | Yes | | Mobile Automation | No | Yes | Yes | | [Desktop Automation](https://www.youtube.com/watch?v=G5DNl23ErVM) | No | Yes | Yes | | API Automation | Java-RestAssured | Yes | Yes | | [Load Test Automation](https://www.youtube.com/watch?v=XPkxqMyPq-A) | No | Yes | Yes | | ML Use Cases | No | Limited | Limited with Add-on | | Storage | 250 MB | Contact Sales | Contact Sales | | algoQA Academy | Limited Access | Full Access | Full Access | | Live Training | No | 8 hours per user | 8 hours per user | | Customer Support | Email | Email, Chat, Call | Email, Chat, Call | For detailed pricing, please visit [https://algoshack.net/pricing/](https://algoshack.net/pricing/). **Infrastructure Setup** Hardware Requirements: | Component | Requirement | | ---------------- | ---------------------------------------------------------------------------------------------------------------------- | | Memory (RAM) | 16 GB | | Storage | Type: 250 GB SSD; Minimum: 50 GB free disk space for OS and apps; Recommended: 100 GB or more (based on logs and data) | | Operating System | Windows | | Processor (CPU) | 2.4 GHz quad-core or higher | | Network | 1 Gbps network interface | Software Requirements: | Component | Requirement | | ---------------------- | -------------------------------- | | Database Compatibility | MySQL and MongoDB | | Software | Node.js, Java, Maven, and Python | **Maintenance Cost:** There are no maintenance costs for the tool since algoQA operates on a subscription-based model. Yes, execution can be done using virtual mobile environments. For example, Appium scripts generated by algoQA can be executed on Android Studio emulators, simulators, and similar virtual mobile environments. Yes, algoQA can grow in terms of capabilities along with your project. There are two key ways this is achieved: - **Extensibility through Custom Methods:** The platform allows teams to write custom methods to extend its functionality. This means as your project evolves, algoQA can evolve with it, adapting to new requirements and supporting additional features as needed. - **Support for Enhancements:** AlgoShack actively takes up enhancements based on project needs. Whether it is introducing new capabilities or refining existing ones, algoQA is built to scale alongside your testing strategy. The platform is designed to be scalable and can be extended to support additional features and functionalities as needed. This includes the ability to automate the process of automation, reduce costs, and integrate with existing test automation solutions following open architecture. algoQA has a minimal learning curve. Most users become productive within 2 to 4 weeks, depending on their familiarity with QA concepts. The intuitive low-code/no-code interface, guided onboarding, and in-product CoPilot support make it easy for testers and developers to get started quickly. algoQA scripts can be executed locally or remotely, in sequence or in parallel, either immediately or on a schedule. These executions generate reports, which serve as feedback for developers. This feedback can be integrated into your test management tool, allowing actual results to sit alongside expected results for easy comparison. Not all test failures are application defects; they may be due to data, configuration, or script issues. Failures should be triaged, and only true defects should be logged in your defect management tool, as per your current process. algoQA integrates seamlessly with: - Test Management Tools (e.g., TestRail, Xray for Jira) - Defect Management Tools (e.g., Jira, Zoho) - Test Execution Clouds (e.g., LambdaTest, BrowserStack, Azure DevOps) For example, algoQA scripts can run on LambdaTest, and both test cases and execution results can be stored in TestRail, Xray, or Azure DevOps. When an issue is confirmed as an application defect, you can log it into tools like Jira with a single click. A full list of supported integrations is mentioned in the image below. Infographic of algoQA supported integrations including frameworks, ALM tools, databases and execution clouds

Infographic of algoQA supported integrations including frameworks, ALM tools, databases and execution clouds

With algoQA, you do not require coding experience. algoQA is a low-code/no-code platform that allows you to create test workflows with minimal coding. Most workflows can be built using the platform's visual interface. However, depending on the complexity of your test cases, additional coding (around 10%) may be needed to meet specific requirements. This is an estimate, and the actual amount of coding required could vary.

Functional Features