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Reduce test time by 80% with Webo.Ai, the most powerful AI-powered test automation platform.

How Webo can help you:

Generate thousands of test cases efficiently.
Maintain and manage your test cases effortlessly.
Accelerate your product releases with powerful testing tools.
Reduce test cycle time significantly to fast-track your product to market.
Minimize production defects to improve software quality.

Why choose Webo: Key features

AI-based automated test case generation.
Comprehensive test suite execution and maintenance.
Smart, centralized dashboard for enhanced visibility.
Unique AiHealing feature for test maintenance.
Rapid setup and automation-ready solutions within 24 hours.

Who should choose Webo:

Startups looking to reduce QA costs and increase release velocity.
Software companies seeking a reliable automation testing platform.
Organizations aiming to reduce test time and production defects.
Teams desiring a faster, smarter, and more affordable testing solution.

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March 2024

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Inflectra Unveils Rapise v8 - Pioneering the Future of AI-Powered Autonomous Testing

WASHINGTON, Sept. 18, 2024 /PRNewswire/ -- Inflectra announces the launch of Rapise v8, a breakthrough in test automation that uses the power of Generative AI to deliver true autonomous testing. Rapise v8 lets teams work in natural language to write their tests, taking simple requirements and test scenarios and using them to automatically and autonomously test the applications. This new approach to software testing accelerates the testing and validation of systems, reducing manual efforts, and transforming manual test cases into efficient, automated solutions. Transforming Software Testing with AI "Rapise v8 is a game-changer in the way we approach software testing," said Adam Sandman, CEO of Inflectra. "With AI at the heart of our platform, we're giving teams the tools to push boundaries and innovate in ways they couldn't before. We are now completely redefining how software is developed, tested, and delivered." The New Standard for Speed and Innovation Rapise v8 is built for the future, transforming complex manual tasks into automated, AI-driven processes that adapt and learn. The platform enables teams to: Accelerate Innovation: By leveraging AI to automate repetitive tasks, teams can focus on more strategic development and innovation.Future-Proof Legacy Systems: Rapise v8 brings legacy systems into the modern age, ensuring that historical assets continue to deliver value.Maximize Operational Efficiency: From real-time error correction to AI-driven script generation, Rapise v8 reduces the need for manual intervention, optimizing every phase of the testing lifecycle. Rapise v8 is a vision of what's possible when AI drives the future of software testing. By empowering teams to harness the full potential of AI, Inflectra is leading a new era where test automation becomes faster, smarter, and inherently more adaptive. Rapise v8 is available with a 30-day free trial, offering development teams an opportunity to experience the future of autonomous testing first hand. About Inflectra Inflectra accelerates software delivery by seamlessly blending agile development and DevOps precision with AI-driven test and requirements management. Our platform empowers teams to deliver faster, scale smarter, and ensure uncompromised quality at scale -- while meeting the toughest compliance standards. Trusted by 50,000+ active users globally, across industries like healthcare, finance, and government, Inflectra stands as a partner in operational excellence with end-to-end traceability, auditability, and automation. With a customer-first mindset and legendary support, we help you build the critical software that runs the world. For more information, contact: Thea Maisuradze/CMO 202-558-6885 383436@email4pr.com View original content:https://www.prnewswire.com/news-releases/inflectra-unveils-rapise-v8--pioneering-the-future-of-ai-powered-autonomous-testing-302251390.html SOURCE Inflectra Market News and Data brought to you by Benzinga APIs

Benzinga

Wed, 18 Sept, 2:03 PM UTC

Automation Testing Market is Poised to Register CAGR of 16.2% by 2031 | SkyQuest Technology

Westford, USA, Oct. 24, 2024 (GLOBE NEWSWIRE) -- Automation Testing Market size was valued at USD 20.57 billion in 2022 and is poised to grow from USD 23.9 billion in 2023 to USD 79.44 billion by 2031, growing at a CAGR of 16.2% during the forecast period (2024-2031). Growth in the automation testing market is expected to rise during the forecast period. The market is on the rise due to businesses being better equipped to adopt advanced approaches toward automation testing, such as DevOps and Agile pocesses. These strategies have enabled firms to sell their respective software solutions much faster due to the reduced time required to automate analysis. There is an urgent need for automation testing because most businesses depend on mobile applications and the end-user sectors have rapidly gone digital. Further, the growth of the market is a consequence of the way employment arrangements are being altered. In addition, machine learning AI/ML is pushing the trend towards automation testing further. Automation testing is gaining momentum in the testing business, while AI reduces the length of the test lifecycle. It employs all sorts of testing, functional, regression, performance, and automated testing. The growth comes due to the rise in cloud-based automation solutions. Download a detailed overview: https://www.skyquestt.com/sample-request/automation-testing-market Browse in-depth TOC on the "Automation Testing Market" Pages- 197Tables- 63Figures- 77 Automation Testing Market Overview: Report CoverageDetailsMarket Revenue in 2023USD 23.9 BillionEstimated Value by 2030USD 79.44 BillionGrowth RatePoised to Grow at a CAGR of 16.2%Forecast Period2024-2031Forecast UnitsValue (USD Billion) Report CoverageRevenue Forecast, Competitive Landscape, Growth Factors, and TrendsSegments CoveredOffering, Testing Type, Service, Dynamic Testing, Endpoint Interface, Vertical, Service, Dynamic Testing, Endpoint Interface, VerticalGeographies CoveredNorth America, Europe, Asia-Pacific, and the Rest of the worldReport HighlightsAutomation Testing and its CapabilitiesKey Market OpportunitiesIntegration with AI and MLKey Market DriversIncrease in Demand for Faster Time-to-Market Dominance of Functional Testing in Automation Ensuring Optimal Software Performance Functional testing dominated the automation testing market as it is crucial to confirm the functionality of software applications. It ensures that the performance of software for many incorporations, including regression, integration, and UI testing, functions correctly. In most fields, where user experience is the key or application performance is of great importance, software should be reliable and powerful; that is why functional testing is in demand. Automation of functional testing accelerates the validation process, allows finding bugs faster, and ensures an application will behave consistently under various conditions. Functional testing, therefore, plays a leading role in driving the automation testing market owing to its potential to enable continuous integration and uplift quality assurance. Request Free Customization of this report: https://www.skyquestt.com/speak-with-analyst/automation-testing-market Predicted Dominance of Hybrid Deployment Segment in Automation Testing for Balancing Flexibility and Control Hybrid deployment has been taking over the automation testing market. Two of the key reasons it dominates in the market are scalability and flexibility. Hybrid models allow either cloud-based solutions or on-premises infrastructure, balancing the need for control and cost efficiency in enterprises. This approach makes use of the enhanced capability and scalable resources of the cloud while enabling the business to keep key data on location. On the other hand, a hybrid deployment style facilitates an easy adoption of recent testing techniques and tools together with smooth integration with current systems. In addition, protection of sensitive data on-premises and using the cloud for agility and computational capacity helps the enterprise manage their security concerns. Market Leadership of North America in Automation Testing North America dominated the highest share of the market in 2022. In this region, most of the technology suppliers are dispersed; hence, driving the market. Demand for smart consumer electronics in the US is observed, which includes increased usage of laptops, smart TVs, and appliances. Smart consumer electronics are directly associated with software, online applications, and operating systems. Therefore, once smart consumer devices gain acceptance, the demand for test automation services will increase exponentially. Automation Testing Market Insights Drivers Demand for Faster Time-to-MarketContinuous Integration and DeploymentQuality and Accuracy Restraints High Initial CostsLack of Skilled LaborsMaintenance Overhead Key Players Operating in the Automation Testing Market The following are the Top Automation Testing Companies IBMCapgemini SEWipro LimitedAccenture PlcTATA Consultancy Services LimitedRanorex GmbHTestPlant LimitedQA InfoTechSymphonySauce Labs, Inc. Key Questions Covered in the Global Automation Testing Market Report What are the factors affecting the automation testing market growth?What are the major players operating in the market?What strategic recommendations can be given to stakeholders? View report summary and Table of Contents (TOC): https://www.skyquestt.com/report/automation-testing-market This report provides the following insights: Analysis of key drivers (continuous integration and deployment), restraints (high costs and complexity of tool integration) opportunities (integration with AI and ML), and challenges (lack of skilled labours) influencing the growth of the automation testing marketMarket Penetration: Comprehensive information on the product portfolios offered by the top players in the automation testing marketProduct Development/Innovation: Detailed insights on the upcoming trends, R&D activities, and product launches in the automation testing marketMarket Development: Comprehensive information on lucrative emerging regionsMarket Diversification: Exhaustive information about new products, growing geographies, and recent developments in the marketCompetitive Assessment: In-depth assessment of market segments, growth strategies, revenue analysis, and products of the leading market players. Related Reports: Artificial Intelligence Market Internet Of Things (IoT) Market Cyber Security Market Robotics Market Blockchain Market About Us: SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology. We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization have expanded our reach across North America, Europe, ASEAN and Asia Pacific. Mr. Jagraj Singh Skyquest Technology 1 Apache Way, Westford, Massachusetts 01886 USA (+1) 351-333-4748 Email: sales@skyquestt.com Visit Our Website: https://www.skyquestt.com/ Market News and Data brought to you by Benzinga APIs

Benzinga

Thu, 24 Oct, 2:27 PM UTC

Test automation: Deloitte & UiPath boost ROI with gen AI - SiliconANGLE

Evolving test automation: How Deloitte and UiPath leverage gen AI for efficiency and ROI When it comes to modern software development, test automation is emerging as a transformative tool since it accelerates growth, supports high-quality releases and enables companies to innovate faster and more reliably. To accelerate coverage, cost savings, accuracy, efficiency and speed in test automation, Deloitte Touche Tohmatsu Ltd. inked a strategic partnership with UiPath Inc. where the generative artificial intelligence prowess is incorporated, according to Tanmay Hoshing (pictured, right), engagement delivery leader at Deloitte. "I would say in the last 20 years, specifically when it comes to implementation type of engagements, the penetration of test automation has been fairly limited because the ROI which was generated was not as good, but now with the power of gen AI, we are thinking that the ROI is significantly better," Hoshing said. "We need a very strong partner for automation, specifically with the test capabilities, and that's where we partnered with UiPath to combine their strength with Deloitte's strengths and bring a very powerful solution to the market." Hoshing and Gerd Weishaar (left), general manager and senior vice president of product management at UiPath, spoke with theCUBE Research's Dave Vellante and co-host Rebecca Knight at UiPath Forward 2024, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed how the UiPath-Deloitte partnership hastens test automation. (* Disclosure below.) Thanks to self-healing tests, intelligent test maintenance, test data augmentation and continuous learning and improvement, gen AI is proving to be a game-changer in test automation. As a result, Deloitte enhances return on investment through accelerated activities and a pre-delivered bot library, Hoshing pointed out. "What it changes with gen AI is the activities that lead up to the testing, from test script writing, test preparation, building of integration test scenarios, building off test data, all of that with the ability of gen AI," he stated. "Second thing the partnership with UiPath, we have invested in building a predefined library of automation bots and that is something that we give as an out-of-box solution to the engagements where we work and that significantly saves the efforts to having to build them manually and that's where the ROI comes in." The icing on the cake when it comes to UiPath test automation is gen AI. This is because it enables robot process automation and software testing to work together flawlessly thanks to solutions, such as AI-powered continuous testing, according to Weishaar. "Testing has been around for what, 25 years," he explained. "It was hard to create automation and it was hard to maintain it over time. That's why typically customers have a low automation rate of like 30, 40% only. With gen AI now we are able to generate test cases, we can create up to 90% automation rates and that's truly what the customer needs and that accelerates everything." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of UiPath Forward 2024:

SiliconANGLE

Tue, 5 Nov, 6:08 PM UTC

"Fix with AI" Button to Automate Playwright Test Fixes

End-to-end tests are essential for ensuring the reliability of your application, but they can also be a source of frustration. Even small changes to the user interface can cause tests to fail, leading developers and QA teams to spend hours troubleshooting. In this blog post, I'll show you how to utilize AI tools like ChatGPT or Copilot to automatically fix Playwright tests. You'll learn how to create an AI prompt for any test that fails and attach it to your HTML report. This way, you can easily copy and paste the prompt into AI tools for quick suggestions on fixing the test. Join me to streamline your testing process and improve application reliability! By following these steps, you can enhance your end-to-end testing process and make fixing Playwright tests a breeze. To detect a failed test in Playwright, you can create a custom fixture that checks the test result during the teardown phase, after the test has completed. If there's an error in and the test won't be retried, the fixture will generate a helpful prompt. Check out the code snippet below: I'll start with a simple proof-of-concept prompt (you can refine it later): Playwright stores the error message in . However, it includes special ASCII control codes for coloring output in the terminal (such as or ): This cleaned-up message can be inserted into the prompt template. The test code snippet is crucial for AI to generate the necessary code changes. Playwright often includes these snippets in its reports, for example: You can see how Playwright internally generates these snippets. I've extracted the relevant code into a helper function, , to retrieve the source code lines from the error stack trace: ARIA snapshots, introduced in Playwright 1.49, provide a structured view of the page's accessibility tree. Here's an example ARIA snapshot showing the navigation menu on the Playwright homepage: While ARIA snapshots are primarily used for snapshot comparison, they are also a game-changer for AI prompts in web testing. Compared to raw HTML, ARIA snapshots offer: When the prompt is built, you can attach it to the test using : Now, whenever a test fails, the HTML report will include an attachment labeled "Fix with AI." When it comes to using ChatGPT for fixing tests, you typically have to manually implement the suggested changes. However, you can make this process much more efficient by using Copilot. Instead of pasting the prompt into ChatGPT, simply open the Copilot edits window in VS Code and paste your prompt there. Copilot will then recommend code changes that you can quickly review and apply -- all from within your editor. Check out this demo video of fixing a test with Copilot in VS Code: Vitaliy Potapov created a fully working GitHub repository demonstrating the "Fix with AI" workflow. Feel free to explore it, run tests, check out the generated prompts, and fix errors with AI help. To integrate the "Fix with AI" flow into your own project, follow these steps: Run your tests and open the HTML report to see the "Fix with AI" attachment under any failed test From there, simply copy and paste the prompt into ChatGPT or GitHub Copilot, or use Copilot's edits mode to automatically apply the code changes.

DZone

Fri, 24 Jan, 2:11 PM UTC

BrowserStack introduces AI-powered platform to streamline software testing

Accel-backed software testing platform BrowserStack has launched an AI-powered test platform that consolidates the entire toolchain for quality assurances (QAs) under one roof from creating, planning, executing and debugging testing to help development teams to deliver applications faster and smarter. The platform processes over one billion tests annually for seven million developers across 135 countries, the company said on Wednesday. By consolidating multiple testing tools into a single platform, BrowserStack aims to reduce fragmentation, lower costs, and boost productivity. According to the company, the fragmentation in traditional testing toolchains has created significant challenges for development teams. "We are consolidating and simplifying the entire toolchain for QAs under one brand where you can go from your creating, planning, executing and debugging of your test cases in a single platform or browser platform in this way," Dhimil Gosalia, vice president of products at BrowserStack told ET. A recent report by a global market research firm Forrester found that development teams experience a 10% "DevOps tax," meaning a tenth of their workforce is dedicated solely to maintaining testing toolchains without improving release speed. Despite these efforts, release velocity has remained unchanged over the past five years, underscoring the need for a more integrated approach. The consolidated BrowserStack test platform addresses these challenges by offering faster testing cycles by enterprise-grade infrastructure for browser and mobile app testing. It supports both cloud-based and self-hosted setups on major cloud providers, with AI-driven automation for test analysis, orchestration, and self-healing capabilities to improve efficiency and maximise return on automation. Further, AI-powered agents within the platform enhance all stages of the testing lifecycle by using a unified data store, providing richer test context and greater accuracy. It also supports testing across over 20,000 real devices and more than 3,500 browser-desktop combinations. BrowserStack noted that its test observability and management features help organisations make data-driven decisions and improve their testing strategies. Founded in 2011 by Ritesh Arora and Nakul Aggarwal, BrowserStack is a cloud-based platform for developers to test websites and mobile apps across different devices, operating systems, and browsers. It serves companies including Amazon, Nvidia, MongoDB, Microsoft, and X (formerly Twitter), enabling them to deliver high-quality software at scale with access to real devices via its cloud infrastructure. By 2026, BrowserStack plans to expand the platform to support over 30 distinct testing products. "Engineering teams today face dual challenges: optimising testing costs while figuring out how to effectively implement AI in their testing workflows," said Arora, CEO of BrowserStack. "Our vision for the test platform goes beyond providing tools - we're fundamentally transforming how teams approach quality. By unifying the testing ecosystem and embedding AI throughout the testing lifecycle, we're enabling teams to achieve up to 50% productivity gains while expanding test coverage." Also Read: US court dismisses Deque Systems' claim of IP theft against BrowserStack

Economic Times

Wed, 26 Feb, 6:32 PM UTC

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