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Business Wire
7 hours ago
- Business
- Business Wire
Cognida.ai Launches Codien: An AI Agent to Modernize Legacy Test Automation and Fast-Track Test Creation
SUNNYVALE, Calif.--(BUSINESS WIRE)--Codien today announced the launch of its new AI agent, designed to simplify and accelerate the transition from legacy test automation frameworks like Protractor and Selenium to the modern Playwright framework. Developed by the team at Codien also streamlines the creation of new Playwright tests using natural language. We built Codien to empower teams to modernize testing quickly and efficiently. — Abid Mohammed, co-founder of For years, many teams relied on Protractor and Selenium for end-to-end web application testing. While Protractor was a favorite, its deprecation now forces teams to migrate. And though Selenium tests remain common, adopting Playwright; a modern, powerful testing framework; unlocks significant benefits for efficiency and speed. This shift has presented a considerable challenge for engineering teams with extensive test suites built on older frameworks, often leading to months-long migration projects or complex rewrites. "We recognized the complexities engineering teams faced when migrating legacy test systems and the need for a more intelligent path forward for test automation," said Abid Mohammed, co-founder of who led the development of Codien. "That's why we built Codien, to empower teams to modernize their testing quickly and efficiently." Feroze Mohammed, co-founder of added, "The vision for has always been to leverage our AI expertise and create innovative products for developers and QA teams. Codien represents a significant starting step in that direction, bringing intelligent automation directly into the testing workflow." Codien is an intelligent Playwright automation tool specifically designed for test managers, test leads, test engineers, coders, and engineering managers who want to modernize their testing quickly and efficiently, without the usual headaches of manual migration. It addresses critical pain points in test automation by providing effortless migration from Protractor or Selenium to Playwright fast and accurately. Codien's AI engine instantly converts Selenium and Protractor testing codebases to Playwright at scale, reducing migration time from days or weeks to minutes. It also offers intelligent test creation, helping users write new Playwright tests faster by generating clean, reliable Playwright automation testing scripts from plain English descriptions. Furthermore, Codien ensures accuracy by going beyond simple conversion; it understands your source tests, gradually converts them, and validates each new Playwright test in real-time to ensure correct functionality and that you can trust the results. The user experience is straightforward through an intuitive desktop application, available for macOS, Windows, and Linux. Users simply create a project, scan their source code to automatically discover all test cases, and then initiate the conversion. They can watch Codien convert and validate tests live, one by one, with a clean, intuitive dashboard keeping them updated on progress and status. Built with a local-first architecture, Codien ensures your test files and code remain on your device, keeping your data private and secure. Only minimal, relevant code snippets are securely sent to large language models via encrypted HTTPS, with no files uploaded, stored, or retained after processing. Codien operates on a flexible pay-as-you-go model with no subscriptions or vendor lock-in. Users can get started for free, utilize initial credits risk-free, and purchase standard credit packs that never expire. Enterprise support is also available for tailored solutions. The Codien team invites test managers, test leads, test engineers, coders, and engineering managers to check out the product on Product Hunt and experience a more efficient approach to testing modernization. Check it out here. is your Practical AI Expedition Partner for Real Business Outcomes and is a cutting-edge Enterprise AI solutions provider, delivering Practical AI to drive digital transformation across North American Enterprises. Codien by helps engineering teams migrate legacy test automation frameworks to Playwright and generate new tests using artificial intelligence, focusing on efficiency, accuracy, and data privacy. Codien is a product of
Edinburgh Reporter
9 hours ago
- Edinburgh Reporter
Top 4 AI Tools for Software Testing in 2025
The field of software testing is changing fast because of AI. Today, AI tools for software testing help QA teams to automate test creation, improve test coverage, and find defects more quickly than ever before. With things like self-healing test scripts and smart test case generation from AI, these tools save a lot of time. They also cut down on how much manual work and fixing is needed. In this article, you will read about the best AI testing tools 2025 will bring. We talk about what each tool can do, their good and bad sides, and what they cost. If you want to know more about how AI works in testing, have a look at this ai model testing guide. It explains AI ways of testing in detail, and helps people see how things are done with ai and software testing, including how test creation and fixing defects work these days. Whether you are a new company looking for constant testing, or a big one using Selenium, Jenkins CI/CD pipelines, and Jira, you will find a tool that fits you here. We cover the top options for AI test automation and QA testing within the software development process. You can use these on web applications, mobile, API, and even for checking what you see on the screen. Let's look at the best AI tools for software testing. You can use these to make your QA better in 2025 with automation, CI, and more. 1. is a strong tool for test management that uses AI to make test automation simpler. The platform gives QA teams a single place to handle both manual and automated tests. With the help of AI, can write test documentation and even suggest test code. This helps both technical and non-technical team members to work together with ease. You can connect to development tools like Jira, Jenkins, and GitHub, so that it fits well into your Agile process. The platform also works with all big testing frameworks, such as Selenium, Cypress, and Playwright. AI engine works to lower the time you spend keeping tests up to date and to help you get better test coverage. It looks at your test results to find flaky tests and the real reasons why they fail. This makes a great choice if you want AI test automation features in a strong test management tool. If you are working in test automation and want to use the power of AI, is worth looking at. Key Features: AI-Generated Documentation: The platform makes up-to-date documents from test cases by itself. This saves people time because they do not have to write reports by hand. The platform makes up-to-date documents from test cases by itself. This saves people time because they do not have to write reports by hand. Plain-English Test Descriptions: The tool changes tests written in code into simple steps anyone can read. It can also turn these easy steps back into code. This helps people who do not write code take part in the work. The tool changes tests written in code into simple steps anyone can read. It can also turn these easy steps back into code. This helps people who do not write code take part in the work. Code Suggestions: When you tell the AI what you want to test, it will give you some ready-made code to automate the work. When you tell the AI what you want to test, it will give you some ready-made code to automate the work. Intelligent Analytics: There are easy-to-use dashboards that show you things like how much is covered by automation, tests that often fail, or tests that are slow. The AI points out places where there are the most problems. There are easy-to-use dashboards that show you things like how much is covered by automation, tests that often fail, or tests that are slow. The AI points out places where there are the most problems. Jira Integration with AI Validation: Your tests can link with Jira in both directions. The AI checks that each test fits the requirements in Jira and lets you see which test covers what. This way, nothing is missed. Your tests can link with Jira in both directions. The AI checks that each test fits the requirements in Jira and lets you see which test covers what. This way, nothing is missed. Failure Analysis: If any test fails, the AI checks the logs and tells you where the problem may be. This helps you fix things much faster. If any test fails, the AI checks the logs and tells you where the problem may be. This helps you fix things much faster. CI/CD Support: The platform works well with CI tools like GitHub Actions or Jenkins. It keeps tests and reports running all the time and makes the process easy. These features make use of AI, test automation platform automation, and CI to make testing, reporting, and enhancing user experience simpler and quicker for everyone, allowing for robust tests to be conducted efficiently. Pros: Unified Platform: This tool brings both manual and automated test management together in one place. It also has AI features, so QA workflows are easier and more organized. This tool brings both manual and automated test management together in one place. It also has AI features, so QA workflows are easier and more organized. Generative AI Capabilities: The tool can use AI to create documentation and test cases by itself. This means QA engineers do not have to spend so much time on manual work. The tool can use AI to create documentation and test cases by itself. This means QA engineers do not have to spend so much time on manual work. Self-Healing Integrations: It spots when your application changes and helps you freshen up tests on its own. This can lower the amount of maintenance you need to do. It spots when your application changes and helps you freshen up tests on its own. This can lower the amount of maintenance you need to do. Broad Framework Support: It works with many test frameworks like WebDriverIO, Cypress, and Cucumber. This means it is easy to use and fit into any setup. It works with many test frameworks like WebDriverIO, Cypress, and Cucumber. This means it is easy to use and fit into any setup. Real-Time Insights: You get rich data and live charts while running test execution. This helps you find flaky or broken tests faster, so you get better test coverage and higher quality. You get rich data and live charts while running test execution. This helps you find flaky or broken tests faster, so you get better test coverage and higher quality. Collaboration Friendly: AI makes test cases easy to read by giving clear, plain-language descriptions. With this, everyone from BA, QA, Dev, to PM can understand the tests and work together. AI makes test cases easy to read by giving clear, plain-language descriptions. With this, everyone from BA, QA, Dev, to PM can understand the tests and work together. Scalable & Cloud-Based: The tool can handle more tests as you grow. You get features like versioning, branching, and the ability to run parallel tests across several environments. Cons: Relatively New AI Features: Some parts that use ai, like code generation, are still quite new. Teams may need some time to feel good about using them and to learn how to get the most out of these new tools. Some parts that use ai, like code generation, are still quite new. Teams may need some time to feel good about using them and to learn how to get the most out of these new tools. Limited Offline Use: This is a cloud SaaS. You will need internet to use it. The on-premise option is mostly for bigger business plans. Pricing: has a Free plan that lets one user work on a single project at $0. This is a good way to try it out. Paid plans begin with the Professional option at about $30 per month. This plan works well for small teams. Larger groups can find higher plans that go up from there. If you have special needs, there is Enterprise pricing made just for you. A free trial comes with all the paid options. 2. ACCELQ ACCELQ is an AI-powered cloud platform for automation. It helps people do testing without using code. Teams can make, run, and handle tests for web, mobile, API, and desktop in plain English. The platform comes with a self-healing tool. It changes the locators for you when a UI changes. With predictive analytics, it puts tests that have more risk at the top. ACCELQ has labs for different browsers and devices. You can also connect it with Jenkins, Azure DevOps, and Jira. This makes the whole QA process faster and easier with automation and AI. Key Features: Codeless Natural Language Automation: You can make tests in plain English or use a visual designer. This means you do not need to have special skills for test automation. It is easy for anyone to get started with test creation. You can make tests in plain English or use a visual designer. This means you do not need to have special skills for test automation. It is easy for anyone to get started with test creation. Self-Healing Tests: The AI in the tool can update test scripts by itself when something in the UI or app flow changes. You do not need to spend much time fixing your tests. This helps you work faster and worry less about maintenance. The AI in the tool can update test scripts by itself when something in the UI or app flow changes. You do not need to spend much time fixing your tests. This helps you work faster and worry less about maintenance. Dynamic Element Handling: The tool is smart enough to find and track UI parts in real-time on all browsers and devices. This keeps your test automation stable and strong every time you use it. Photo by Christina Morillo: Pros: Codeless & Accessible: You can set up automation here with no code. It works with simple text and in the UI. This is good for people and testers who do not have much programming experience. You can set up automation here with no code. It works with simple text and in the UI. This is good for people and testers who do not have much programming experience. AI-Powered Stability: The smart locators and self-healing make your tests less likely to fail for no reason. They are strong against UI and DOM changes, so you get fewer false test fails. The smart locators and self-healing make your tests less likely to fail for no reason. They are strong against UI and DOM changes, so you get fewer false test fails. Full-Stack Coverage: You use one platform to do everything. This covers web, API, mobile, and desktop automation, also with manual testing. You do not need several tools for all this work. Cons: Premium Pricing: ACCELQ's top features come with a higher price. It is made for big companies, so it may be hard for very small teams or startups to pay for it. ACCELQ's top features come with a higher price. It is made for big companies, so it may be hard for very small teams or startups to pay for it. Initial Setup Learning Curve: You can do test creation without code, but setting up big or complex systems with ACCELQ and making it work for the whole company may take time and help. You can do test creation without code, but setting up big or complex systems with ACCELQ and making it work for the whole company may take time and help. Closed Ecosystem: This is a closed platform. People or teams who like to use open-source tools may feel limited because they do not have full access to change things in the code. Pricing: ACCELQ has different subscription levels that come with no limits on the number of users or tests. You start with a free trial. After that, prices are usually between $300 and $500 each month if you have a small team. For larger companies, the cost can be $3,000 or more every month when you make a big or business-wide setup. 3. Testim Testim is an automation tool that helps you create UI tests faster. Its Smart Locator technology makes tests more stable. At every step, it saves several element details so that small UI updates do not break the script. Testim gives you a way to record tests without code. You can also export tests to Selenium or Playwright. Some other features are scheduling, version control, and running tests in parallel. This helps your team work in an agile way. You spend less time fixing tests. Your web tests stay reliable with Testim, especially when ensuring the functionality of mobile applications. Key Features: AI Smart Locators: When you make tests in Testim, AI helps create strong locators by using things like ID, classes, and the order of the items on the UI. If the app or its ui changes, these locators change on their own. This makes the tests fix themselves so you do not have a lot of false test failures. It helps save time when you work with AI in your tests. When you make tests in Testim, AI helps create strong locators by using things like ID, classes, and the order of the items on the UI. If the app or its ui changes, these locators change on their own. This makes the tests fix themselves so you do not have a lot of false test failures. It helps save time when you work with AI in your tests. Fast Authoring with Recorder: There is a Chrome extension that lets you record the things you do on the ui. After recording, you can change these steps, add your own details, or mix in your own code if you want. This helps you get started building test suites for an app much faster. There is a Chrome extension that lets you record the things you do on the ui. After recording, you can change these steps, add your own details, or mix in your own code if you want. This helps you get started building test suites for an app much faster. Modular Steps & Reuse: You get to keep the steps you use a lot (like 'Login' or 'Add Item to Cart') as parts you can use again and again. This stops you from doing the same work in your app tests and makes things much easier if you have to change something later on with Testim. Pros: Quick Ramp-Up: This traditional tool gives something to both new and skilled automation people. If you are just starting, you can use the codeless options to help you do your best work. If you know code, you can add more features or export your tests as code, allowing for consistent execution, enabling more individuals to play an active role in enhancing the overall testing process, and think about higher value things, ultimately leading to significant cost savings. This way, it works well for both kinds of users, and that is a big benefit. This traditional tool gives something to both new and skilled automation people. If you are just starting, you can use the codeless options to help you do your best work. If you know code, you can add more features or export your tests as code, allowing for consistent execution, enabling more individuals to play an active role in enhancing the overall testing process, and think about higher value things, ultimately leading to significant cost savings. This way, it works well for both kinds of users, and that is a big benefit. Highly Maintainable Tests: The AI tools help you keep your UI tests working with less effort. The locators find what changes on a page, and the self-healing feature fixes small issues on its own. You do not have to spend time fixing tests every time there is a new update. Most teams say they use far less time taking care of tests than when using just Selenium. The AI tools help you keep your UI tests working with less effort. The locators find what changes on a page, and the self-healing feature fixes small issues on its own. You do not have to spend time fixing tests every time there is a new update. Most teams say they use far less time taking care of tests than when using just Selenium. Supports Complex Apps: This is made for groups that need to test more than simple web pages. It handles dynamic apps really well, like single-page apps or web tools with rich UI. You can use it to test things like Salesforce or React apps. These are hard to test with old automation tools because locators for them easily break. This tool makes it easier. Cons: Initial Recording Finesse: Like many other tools, Testim may record a few extra actions. It might also use values in the test that are not flexible, like hard-coded text. You will have to go back and fix or update these first tests. For example, you might need to add checks, change the test data, or adjust inputs so the test works in more than one case. This is normal for testers who use tools like this, but it takes some of your time and you need to know how the tool works. Like many other tools, Testim may record a few extra actions. It might also use values in the test that are not flexible, like hard-coded text. You will have to go back and fix or update these first tests. For example, you might need to add checks, change the test data, or adjust inputs so the test works in more than one case. This is normal for testers who use tools like this, but it takes some of your time and you need to know how the tool works. Image/Visual Assertions Limited: Testim mostly works with the structure of web pages, known as the DOM. There is a way to use Testim to do visual testing if you connect it with Applitools. But, the built-in options in the tool for checking how things look are not strong, so you will need a separate service to do detailed visual checking. Testim mostly works with the structure of web pages, known as the DOM. There is a way to use Testim to do if you connect it with Applitools. But, the built-in options in the tool for checking how things look are not strong, so you will need a separate service to do detailed visual checking. Pricing for High Volume: Testim can feel low-cost or reasonable at first if you run just a few tests. But, if you or your team want to run a lot of tests at the same time, or use the Testim cloud, the price will go up. Big companies that need to run many tests have to pay for enterprise plans, and the price for these plans from Tricentis can be very high. Pricing: Testim has custom pricing to fit your needs. A free plan let you have about 1,000 runs each month, which helps with small projects. Paid plans start at a few hundred dollars per month. If you are with a big company, high-level agreements can cost several thousand dollars a year. These come with unlimited runs, more features, and a special support team. There will be free trials and lower prices for students or schools. 4. Functionize Functionize is an automation platform made for big businesses. The tool lets you write tests in everyday language. It uses deep learning to fix tests by itself and can grow or shrink as your needs change, thanks to the cloud. You can make and keep up web, mobile, API, and database tests with it. When something in your app changes, it updates scripts on its own. The system uses reinforcement learning to find out how your app works and then builds more tests. This helps teams get more done and cover more ground without hiring more people. Key Features: Natural Language Tests: You can make tests in plain English by using a UI. For example, you can say, 'Open the homepage, login with username X, verify account page is displayed.' The tool from Functionize will read what you say and build a test case from it. This helps you work with tests without needing deep know-how of automation. You can make tests in plain English by using a UI. For example, you can say, 'Open the homepage, login with username X, verify account page is displayed.' The tool from Functionize will read what you say and build a test case from it. This helps you work with tests without needing deep know-how of automation. ML-Powered Element Recognition: Functionize uses AI-driven automation to find things like buttons or links in an app. It learns how each part of your UI acts and looks, using a flexible or 'fuzzy' way. So, even if text or position changes a lot, it can still find the right thing. Functionize uses to find things like buttons or links in an app. It learns how each part of your UI acts and looks, using a flexible or 'fuzzy' way. So, even if text or position changes a lot, it can still find the right thing. Self-Healing & Adaptive Tests: If it can't find an element just like before, Functionize's engine will use its model of your app and search the DOM to pick out the most likely new match. This means your tests will not break every time your app changes, which cuts down on test fails. Pros: Highly Autonomous: Functionize tries to cut down how much manual work you do in every part of testing. This includes test creation, running the tests, and keeping them updated. A busy QA team will see that tests can update or even create themselves, so people save a lot of time and get more done. Functionize tries to cut down how much manual work you do in every part of testing. This includes test creation, running the tests, and keeping them updated. A busy QA team will see that tests can update or even create themselves, so people save a lot of time and get more done. Enterprise Integration: This tool works with the top tools, like Jira, Jenkins, GitLab, Slack, and TestRail. It also lets you use SSO and set roles for access. These features help large companies work easier together. This tool works with the top tools, like Jira, Jenkins, GitLab, Slack, and TestRail. It also lets you use SSO and set roles for access. These features help large companies work easier together. Scalability for Large Projects: Functionize was made for big work. It can handle thousands of tests and keep working well, even with heavy use. Large teams can use it for continuous testing and can run tests often, even on every build or code change. Cloud execution helps things move fast. Cons: Proprietary System: You need to stay within the Functionize ecosystem for your test execution. It is not like open-source tools, so you do not get to see or change the main code running tests. If you want to do something very custom that is not in the current features, it might be hard or not possible. You need to stay within the Functionize ecosystem for your test execution. It is not like open-source tools, so you do not get to see or change the main code running tests. If you want to do something very custom that is not in the current features, it might be hard or not possible. Cost Visibility: The price for Functionize is not shown on their site and is known to be high, as it is made for large businesses. A small company may feel it does not fit their budget. The price for Functionize is not shown on their site and is known to be high, as it is made for large businesses. A small company may feel it does not fit their budget. Initial Onboarding: Learning every AI feature for your test execution and setting them up to work best for your app may take both time and some help from the Functionize team. It has a lot to give, but to get the most from these tools, you may have to put in a little extra work at first. Pricing: Functionize has different plans that fit your project size and support needs. The cost for the Starter plan begins in the low thousands of dollars each month and will be higher for the Enterprise plans. Every package gives you unlimited users and test runs. A 14-day trial is offered. If you want the exact price, you can ask for it. FAQ Which are the top AI testing tools available? In 2025, there are 4 giants in the industry: ACCELQ, Testim, and Functionize. has a slight lead because it integrates test management, manual and automated coverage and AI-driven analytics in a single workspace, providing teams with a single source of truth to plan, execute and report. The other 3 are special in one or more areas, such as codeless design (ACCELQ), smart UI locators (Testim), and autonomous cloud scaling (Functionize), but lack the end-to-end completeness of What are the main characteristics of an AI testing tool to consider? UI resistant self‑healing locators Plain-language-based test generation with the help of AI Smart CI/CD support to have continuous delivery Clear analytics to identify and pinpoint flaky tests and root causes. Web, API and mobile targets supported in a single interface addresses all the points on a single console; the rest of the tools fulfill most but not all of them. What are the key advantages of the AI test automation tools? More rapid scripting using natural-language or record-and-convert processes Reduced maintenance due to self healing and intelligent locators Broader coverage with the help of AI-created edge-case scenarios Faster feedback loops in CI pipelines, releases in shorter cycles Evidence‑based information that guides teams to the most at-risk locations first The most efficiency is observed in teams that implement a full-stack platform like where planning, execution, and analytics are in one place instead of multiple tools. Like this: Like Related
Business Wire
08-07-2025
- Business
- Business Wire
LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows
SAN FRANCISCO--(BUSINESS WIRE)-- LambdaTest, a GenAI-powered quality engineering platform, has announced the release of SmartUI's Smart Branching and Baseline Management, a major leap forward in visual testing. This update eliminates long-standing bottlenecks caused by outdated baseline strategies and introduces an intelligent, streamlined way for development teams to manage visual testing across complex Git workflows. LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows Share Modern development teams utilise feature branches, release versions, and hotfix workflows; however, most visual testing tools still rely on comparisons against the main branch, resulting in irrelevant failures and time-consuming approvals. LambdaTest's SmartUI changes that with features purpose-built for today's branching strategies. Smart Branch Comparison ensures visual tests are run against the correct baseline, comparing within the same feature branch instead of defaulting to the main. Flexible Merging Options automatically create and approve merged visual states, eliminating the need for manual approvals. Dynamic Baselines allow teams to configure baselines according to their release strategy, whether by branch, build, or dynamic references. These innovations are delivered through a redesigned Visual Merge Studio interface, offering smart recommendations, branch-aware comparisons, and intuitive controls that reduce manual effort by 90%, even for non-technical users. With seamless GitHub Actions integration and the ability to promote visual tests across staging and production environments, SmartUI now plays a central role in accelerating modern DevOps pipelines. 'Visual testing should work with your workflow, not against it,' said Mayank Bhola, Co-Founder and Head of Product at LambdaTest. 'Smart Branching and Baseline Management is a response to what development teams have been asking for context-aware visual testing that just makes sense. This isn't just a feature update; it's a foundational shift that unlocks speed and clarity for developers, QA, and product teams alike.' SmartUI's latest capabilities are now available to all enterprise users immediately. LambdaTest continues to invest in deeper integrations and automation enhancements to further embed visual QA into the fabric of modern software delivery. About LambdaTest LambdaTest is a GenAI-powered Quality Engineering Platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers a full-stack testing cloud with 10K+ real devices and 3,000+ browsers. With AI-native test management, MCP servers, and agent-based automation, LambdaTest supports Selenium, Appium, Playwright, and all major frameworks. AI Agents like HyperExecute and KaneAI bring the power of AI and cloud into your software testing workflow, enabling seamless automation testing with 120+ integrations. LambdaTest Agents accelerate your testing throughout the entire SDLC, from test planning and authoring to automation, infrastructure, execution, RCA, and reporting.
Time Business News
28-06-2025
- Time Business News
What is a Test Frame in Software Development
Testing is a critical phase in software development that ensures your software meets quality standards, performs as intended, and provides value to users. Among the myriad strategies, tools, and methodologies employed in testing, the test frame often acts as a silent hero, streamlining the process while enhancing the reliability of the results. But what is a test frame in software development, and why is it essential? This guide will explore the concept of the test frame, dissect its components and significance, and see how it impacts software testing processes. By the end, you'll have a comprehensive understanding of how test frames function and why they're indispensable in building robust, high-performing software. A test frame in software development is a structured environment or setup used to conduct software testing activities. It outlines the rules, components, and tools required to automate or perform manual tests effectively. Think of it as a scaffolding for your testing efforts designed to ensure testing is systematic and outcomes are measurable. A test frame typically includes: A suite of test cases with defined inputs, processes, and expected outputs. with defined inputs, processes, and expected outputs. Mechanisms for monitoring the behavior of the software under test. Tools or scripts ensuring tests can be automated for consistency. Guidelines or rules for maintaining and organizing the test environment. For example, if you're testing a banking application, the test frame might consist of test cases that verify login authentication, transactions, and data encryption. It also includes mock environments that simulate live banking systems, ensuring tests are performed in a controlled and safe setup. Put simply, a test frame serves as the foundation that makes testing processes rigorous, reusable, and scalable. To better appreciate its importance, let's break down the essential components of a test frame. Test cases are the backbone of any test frame. They define a specific condition or scenario for testing the software. Each test case includes: Input data Steps to execute Expected output For example: Test case goal : Verify the 'Forgot your password?' feature. : Verify the 'Forgot your password?' feature. Inputs : Valid email address input into the recovery form. : Valid email address input into the recovery form. Expected result: User receives a password reset email. Automation forms an integral part of modern test frames. Tools like Selenium, Appium, and JUnit allow teams to run hundreds of test cases consistently and efficiently. Automated test tools also: Record and play back user interactions. Compare actual outcomes to expected results. Flag bugs that deviate from expected behavior. Quality test data supports meaningful testing. Test data includes: Input files or databases. User credentials. Mocked variables and configurations. For example, in e-commerce software tests, the input data might be sets of product IDs, shipping addresses, and payment methods. Good test frames monitor activities in real time and provide post-test reports. Such reporting includes detailed logs about: Which tests passed or failed. Description of detected errors. Time taken for each test to execute. These insights drive continuous improvement and debugging. Read More: Corporate Software Inspector: A Comprehensive Guide Understanding what a test frame is helps unravel its numerous benefits: Well-designed test frames allow tests to be reused across projects or after updates to the source code. This saves time and ensures consistency across test cycles. Test frames make automation not just possible, but efficient. Automated scripts rely on the structure provided by a test frame to execute repeatable scenarios, reducing manual workload. For growing software projects with increasing complexity, scalability is crucial. Test frames ensure you can add more test cases or modules without breaking the existing system. A test frame ensures tests are standardized, reducing human errors common in manual testing. Scripts do not forget steps, follow incorrect logic, or make assumptions, which means they're consistently accurate. When tests fail, a well-structured test frame provides detailed logs and insights into the fault's origin. This makes debugging quicker and more focused. Having a defined test frame allows multiple teams or testers to work cohesively. Everyone understands the inputs, outputs, and expectations, eliminating ambiguity. Creating a strong test frame isn't as intimidating as it may sound. Here's a step-by-step approach: Collaborate with stakeholders to define clear objectives for testing. Map out key scenarios you want the test frame to cover. For instance: What functionalities are critical? What is the expected behavior in edge cases? Select tools and technologies aligned with the requirements. For example: Use Selenium WebDriver for web apps. for web apps. Use Appium for mobile application testing. for mobile application testing. Choose Postman for API testing. Draft detailed test cases for every feature of your software. Prioritize test cases that focus on mission-critical elements, such as payment gateways or data storage. Create and prepare test data that matches real-world scenarios. Ensure your data includes standard cases, edge cases, and failure scenarios. Where possible, automate tests for speed and efficiency. Write and organize scripts using frameworks like TestNG, Pytest, or JUnit. Integrate monitoring and reporting tools into your test frame. Tools like TestRail or Allure can help track, document, and log your testing outcomes. Sometimes, the best way to understand a concept is to see it applied in a real-world context. Here are some examples of test frames revolutionizing software testing: 1. Google Google uses test automation to continuously test their search algorithms. Their test frame, built on homegrown tools, helps ensure every algorithm update passes thousands of accuracy and reliability tests before deployment. 2. Microsoft Microsoft employs elaborate test frames built into Visual Studio. These frames test telemetry data, UI responsiveness, and feature performance across their products, from Office to Dynamics. 3. Amazon Amazon relies on test frames to validate pricing algorithms, inventory integrations, and checkout flows. Scalable test frames help Amazon accommodate growing products catalogues and seasonal spikes. Understanding what a test frame is in software development and how to use it effectively can significantly improve your software quality. From reducing manual effort to standardizing procedures, test frames ensure you're testing efficiently and effectively. Whether you're just getting started with testing or looking to refine an existing process, investing in a robust test frame is a decision every developer should consider. And remember, the key to success lies in designing a test frame that aligns with your unique project needs. If you want to get more info like this post explore Raterpoint TIME BUSINESS NEWS
Associated Press
11-06-2025
- Business
- Associated Press
Neuralbase Appoints Tushar Shivekar as Chief Technology Officer
LAS VEGAS, NV - June 11, 2025 ( NEWMEDIAWIRE ) - NEURALBASE AI LTD. (OTC: NBBI), operating under its enterprise brand BMP AI and a growing innovator in enterprise artificial intelligence solutions, today announced the appointment of Tushar Shivekar as Chief Technology Officer. Bringing over 14 years of expertise in software quality engineering, automation testing, and cybersecurity, Mr. Shivekar adds deep technical leadership to the company's rapidly expanding BMP AI platform for regulated industries. His career includes pivotal roles at global technology leaders Wipro Technologies and Mindtree, where he led large-scale enterprise quality assurance initiatives for Fortune 500 clients. At Wipro Technologies, Mr. Shivekar supported broadband infrastructure quality engineering for major telecommunications providers. During his tenure at Mindtree, he led testing initiatives for anti-phishing, cybersecurity, and enterprise compliance platforms, serving top-tier financial institutions and global e-commerce clients. Mr. Shivekar's technical expertise spans a wide range of enterprise testing and automation tools, including Playwright, Selenium, Appium, Perfecto, Docker, REST API frameworks, as well as security testing platforms such as Burp Suite and Veracode. His combination of automation and cybersecurity knowledge directly aligns with BMP AI's mission of delivering trusted, compliant AI solutions for healthcare, financial services, legal, and enterprise clients. Most recently, Mr. Shivekar held senior leadership roles at 7 Street Technologies and Jaaee Technologies, where he architected scalable test automation frameworks for web, mobile, and enterprise platforms, while mentoring cross-functional engineering teams and driving strategic technical initiatives. 'Tushar's rare blend of technical mastery and enterprise business acumen is exactly what the company needs as we continue scaling our BMP AI platform across regulated industries,' said Vighnesh Dabole, CEO of Neuralbase AI Ltd. 'His track record in delivering secure, high-quality, and scalable enterprise systems will be instrumental as we enter our next phase of product innovation and market expansion.' As Chief Technology Officer, Mr. Shivekar will lead the development of the company's advanced enterprise AI infrastructure, overseeing engineering, security, and platform architecture, while driving continued innovation in our document-grounded, compliance-first AI solutions. 'Joining Neuralbase AI represents an exciting opportunity to bring together my experience in automation, quality engineering, and cybersecurity to advance trusted enterprise AI,' said Tushar Shivekar. 'Together, we will deliver AI solutions that are not only intelligent, but also secure, explainable, and aligned with the complex compliance needs of our enterprise customers.' Additional information about the Company is available at or by visiting About NEURALBASE AI Neuralbase AI Ltd. (OTC: NBBI) is an AI company developing secure, scalable, and context-aware conversational agents and workflow automation systems. Through its BMP AI platform - now in beta testing - the company enables organizations to streamline internal operations, enhance team collaboration, and increase productivity while maintaining strict compliance and data integrity. Legal Disclaimer and Forward-Looking Statements This press release contains forward-looking statements as defined under Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934. These statements are based on current expectations, estimates, projections, and assumptions made by Neuralbase AI Ltd. (the 'Company' or 'NBBI') in light of experience, current conditions, anticipated future developments, and other factors. Forward-looking statements may include words such as 'aims,' 'anticipates,' 'believes,' 'plans,' 'expects,' 'intends,' 'will,' 'may,' 'could,' 'should,' and similar expressions. These statements relate to, among other things, the expected performance and capabilities of the BMP AI platform; the Company's ability to successfully complete product development, enter commercial deployment, or scale its technology; future revenues and market expansion; and general strategic direction. All such statements are inherently uncertain and involve a number of risks that could cause actual results to differ materially from those expressed or implied in any forward-looking statement. Neuralbase AI Ltd. is a fully reporting company with the U.S. Securities and Exchange Commission (SEC) and files annual and quarterly reports, current reports, and other required disclosures. All public filings and disclosures may be reviewed at the SEC's EDGAR database at The Company trades on the OTC Markets under the ticker symbol NBBI. This press release is not, and should not be construed as, an offer to sell or a solicitation of an offer to buy any securities of Neuralbase AI Ltd. in the United States or in any other jurisdiction. Offers and sales of securities, if any, will be made only pursuant to an effective registration statement or valid exemption under the U.S. Securities Act of 1933, as amended. Investing in securities traded on the OTC Markets involves significant risk, including potential loss of principal, low liquidity, high volatility, and limited publicly available information. Shares traded on the OTC Markets may be more susceptible to market manipulation or price swings. Investors are strongly advised to conduct their own due diligence, consult a qualified investment advisor, and carefully review all SEC filings prior to making any investment decision. Media Contact: Vighnesh Dobale Chief Executive Officer [email protected] (727) 314-3717 View the original release on
