#automated ui testing

[k0libra]

RK800 #313 248 317 - 00

[timberviewgolfclub1]

Automated Testing Solution:

StaidLogic is an Information Technology Solutions and Services provider, helping organizations improve productivity by enabling digital and cloud transformation and by enabling process optimization with an unparalleled degree of agility.

[vstellar]

Speed up your QA testing processes

Speed up your testing processes with Stellar’s low code test automation platform. Enhance efficiency, minimize errors, and achieve smarter software testing with effortless solutions for UI, API, mobile, performance, and accessibility testing. Empower your team to test more and stress less with effortless integration and advanced analytics.

[yethiconsulting]

Greater Focus on Performance Testing Within UI Automation Tools

Performance testing is becoming an integral feature of modern UI automation tools, reflecting the growing demand for applications that deliver seamless and fast user experiences. Traditionally, performance testing and UI testing were handled separately, but advancements in automation tools are bridging this gap.

UI automation tools are increasingly integrating performance testing capabilities, enabling teams to evaluate both functionality and performance in a unified workflow. These UI automation tools can simulate user interactions under various conditions, such as high traffic or slow networks, to measure page load times, responsiveness, and resource usage. This dual-purpose approach ensures that the UI not only functions correctly but also performs optimally under real-world conditions.

Tools like Playwright and Cypress now provide features to capture metrics such as page load speed, time to first paint, and DOM content loading. By incorporating these insights directly into UI tests, teams can identify and address performance bottlenecks earlier in the development cycle.

This trend is particularly relevant in Agile and DevOps environments, where rapid iterations and continuous delivery demand efficient testing. As performance becomes a critical component of user satisfaction, the integration of performance testing within UI automation tools will continue to evolve, driving better application quality and user experiences.

[growthgrids]

[sparktechnologiesforallservices]

QA & SOFTWARE TESTING - Spark Technologies

We design, develop, implement, manage and optimize access to systems and information to answer your business processing, application and infrastructure needs. Whether you are a private or public sector organization, or whether you want to run our solutions on your own hardware, or outsource your IT through us, Spark Technologies has the expertise you need to overcome the business challenges you face.

[karanpatil]

Samsung Tizen UI Automation Testing using Appium: A Comprehensive Guide

Ensuring a flawless user experience across various devices and platforms is paramount in automated testing. This becomes especially critical when testing applications for smart TVs like those running on Samsung's Tizen operating system. To streamline the testing process and guarantee a seamless experience for your TV app users, we explore how to harness the power of the latest Tizen Appium driver offered by HeadSpin.

HeadSpin empowers the support of automated and manual testing for common AV (audio-visual) devices and smart TVs, including WebOS, TizenOS, AndroidTV, and Apple TV. In this blog, we'll delve into leveraging the test automation tool for Tizen— the Appium driver by HeadSpin— to test AV-enabled Tizen TVs.

[techinsightweekly]

https://www.zymr.com/software-testing-services/ui-ux-testing-services

Zymr's UI/UX Testing Services offer code review and comprehensive quality assessment to address software security risks, evaluate software quality for purchase decisions, manage investment risks and cost, and evaluate legacy software for updates or replacement.

[alsaurus-loves-dean]

.

[automationqa]

Say goodbye to manual testing and hello to efficiency! Discover how AI is transforming software test automation, elevating API and UI testing to new heights.

[krishna99667]

Web Design and Development Courses in Hyderabad | Careerpedia

Careerpedia offers Web Design and Development Courses in Hyderabad. Learn the fundamentals and advanced techniques from industry experts and launch your career in tech. Join now

Visit:

[jbfly46]

Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!

Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:

• Save money while keeping everything local and private.

• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.

• Gain total freedom to explore, scrape, and interact with the web like never before.

You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.

In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.

These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.

This is version 3.0 of these instructions January 26th, 2025.

This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.

What You’ll Achieve

By following this guide, you’ll:

1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.

2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.

3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.

A Deep Dive At ReadMultiplex.com Soon

We will have a deep dive into how you can use this platform for very advanced AI use cases that few have thought of let alone seen before. Join us at ReadMultiplex.com and become a member that not only sees the future earlier but also with particle and pragmatic ways to profit from the future.

System Requirements

Hardware

• RAM: 8 GB minimum (16 GB recommended).

• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).

• Storage: 5 GB free space.

• Graphics: GPU optional for faster processing.

Software

• Operating System: macOS, Windows 10+, or Linux.

• Python: Version 3.8 or higher.

• Git: Installed.

Step 1: Get Your Tools Ready

We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.

Install Python

1. Check Python Installation:

• Open your terminal/command prompt and type:

python3 --version

• If Python is installed, you’ll see a version like:

Python 3.9.7

2. If Python Is Not Installed:

• Download Python from python.org.

• During installation, ensure you check “Add Python to PATH” on Windows.

3. Verify Installation:

python3 --version

Install Git

1. Check Git Installation:

• Run:

git --version

• If installed, you’ll see:

git version 2.34.1

2. If Git Is Not Installed:

• Windows: Download Git from git-scm.com and follow the instructions.

• Mac/Linux: Install via terminal:

sudo apt install git -y # For Ubuntu/Debian

brew install git # For macOS

Step 2: Download and Build llama.cpp

We’ll use llama.cpp to run the DeepSeek-R1 model locally.

1. Open your terminal/command prompt.

2. Navigate to a clear location for your project files:

mkdir ~/AI_Project

cd ~/AI_Project

3. Clone the llama.cpp repository:

git clone https://github.com/ggerganov/llama.cpp.git

cd llama.cpp

4. Build the project:

• Mac/Linux:

make

• Windows:

• Install a C++ compiler (e.g., MSVC or MinGW).

• Run:

mkdir build

cd build

cmake ..

cmake --build . --config Release

Step 3: Download DeepSeek-R1 8B 4-bit Model

1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.

2. Download the 4-bit quantized model file:

• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.

3. Move the model to your llama.cpp folder:

mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp

Step 4: Start DeepSeek-R1

1. Navigate to your llama.cpp folder:

cd ~/AI_Project/llama.cpp

2. Run the model with a sample prompt:

./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"

3. Expected Output:

The capital of France is Paris.

Step 5: Set Up Browser-Use Web UI

1. Go back to your project folder:

cd ~/AI_Project

2. Clone the Browser-Use repository:

git clone https://github.com/browser-use/browser-use.git

cd browser-use

3. Create a virtual environment:

python3 -m venv env

4. Activate the virtual environment:

• Mac/Linux:

source env/bin/activate

• Windows:

env\Scripts\activate

5. Install dependencies:

pip install -r requirements.txt

6. Start the Web UI:

python examples/gradio_demo.py

7. Open the local URL in your browser:

http://127.0.0.1:7860

Step 6: Configure the Web UI for DeepSeek-R1

1. Go to the Settings panel in the Web UI.

2. Specify the DeepSeek model path:

~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf

3. Adjust Timeout Settings:

• Increase the timeout to 120 seconds for larger models.

4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.

Step 7: Run an Example Task

Let’s create an agent that:

1. Searches for Tesla stock news.

2. Gathers Reddit mentions.

3. Predicts the stock trend.

Example Prompt:

Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.

--

Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀

Stay tuned fora FREE simple to use single app that will do this all and more.

[cyle]

How do you determine the results of an A/B test? As in, if users don’t send send feedback, how do you know you’re getting accurate results and not just the responses from those most vocal and willing to find a way to communicate this information?

when we run an A/B test, there's a process behind the scenes putting some percentage of users into buckets, normally named something like "test" and "control". after the test has been running for a few days, we start running automated analytics tools to gather a huge list of metric comparisons using those buckets. that process runs every day for as long as the experiment is running, and it spits out the data into a nice dashboard table so we can easily see what metrics are moving and whether the movement has reached some kind of statistical significance.

those metrics cover a huge range of things, like how often people are using the platform, whether they're making posts, replying and reblogging and liking, following blogs and tags, etc etc etc. for some experiments we add even more granular, specific metrics to watch. for the vertical navigation update, for example, we watched clicks on all of the interface elements that were moving.

this process is quantitative, as in it has nothing to do with the feedback we receive, which is qualitative. most people have no idea they're in an experiment, we usually have a few running every week, changing things you can't even "see", and that's the point. when it comes to UI changes, though, we have to balance both sides of the feedback: the actual experiment results as data, and the feedback people are writing in to us and saying on the platform.

[yethiconsulting]

How AI is Shaping the Future of Web Automation Testing

Introduction:

Briefly introduce the role of AI in transforming industries.

Highlight its emerging impact on web automation testing.

Enhancing Test Automation Efficiency

Discuss how AI optimizes test case generation and execution.

Mention AI-powered tools for smart test script creation.

Self-Healing Test Scripts

Explain how AI helps maintain test scripts by dynamically adapting to UI changes.

Reduce the need for manual script updates.

Advanced Defect Detection

Highlight AI’s ability to identify patterns and anomalies.

Leverage predictive analytics for proactive bug fixing.

Improved Test Coverage with AI

Discuss how AI ensures comprehensive test coverage.

Utilize machine learning to prioritize high-risk areas for testing.

Future of Web Testing with AI

Explore emerging trends like autonomous testing and AI-driven test analytics.

Discuss potential integration of AI with DevOps.

Conclusion:

Summarize the advantages of AI in web testing.

Encourage embracing AI to stay competitive in QA.

[theappvault]

Unlock creative insights with AI instantly

What if the next big business idea wasn’t something you “thought of”… but something you unlocked with the right prompt? Introducing Deep Prompt Generator Pro — the tool designed to help creators, solopreneurs, and future founders discover high-impact business ideas with the help of AI.

💡 The business idea behind this very video? Generated using the app. If you’re serious about building something real with ChatGPT or Claude, this is the tool you need to stop wasting time and start creating real results.

📥 Download the App: ✅ Lite Version (Free) → https://bit.ly/DeepPromptGeneratorLite 🔓 Pro Version (Full Access) → https://www.paypal.com/ncp/payment/DH9Z9LENSPPDS

🧠 What Is It? Deep Prompt Generator Pro is a lightweight desktop app built to generate structured, strategic prompts that help you:

✅ Discover profitable niches ✅ Brainstorm startup & side hustle ideas ✅ Find monetization models for content or products ✅ Develop brand hooks, angles, and offers ✅ Unlock creative insights with AI instantly

Whether you’re building a business, launching a new product, or looking for your first real side hustle — this app gives your AI the clarity to deliver brilliant results.

🔐 Features: Works completely offline No API or browser extensions needed Clean UI with categorized prompts One-click copy to paste into ChatGPT or Claude System-locked premium access for security

🧰 Who It’s For: Founders & solopreneurs Content creators Side hustlers AI power users Business coaches & marketers Anyone who’s tired of “mid” AI output

📘 PDF Guide Included – Every download includes a user-friendly PDF guide to walk you through features, categories, and how to get the best results from your prompts.

📂 Pro Version includes exclusive prompt packs + priority access to new releases.

🔥 Watch This If You’re Searching For: how to use ChatGPT for business ideas best prompts for startup founders AI tools for entrepreneurs side hustle generators GPT business prompt generator AI idea generator desktop app ChatGPT for content creators

📣 Final Call to Action: If this tool gave me a business idea worth filming a whole video about, imagine what it could help you discover. Stop guessing — start prompting smarter.

🔔 Subscribe to The App Vault for weekly tools, apps, and automation hacks that deliver real results — fast.🔓 Unlock Your PC's Full Potential with The App Vault Tiny Tools, Massive Results for Productivity Warriors, Creators & Power Users

Welcome to The App Vault – your ultimate source for lightweight desktop applications that deliver enterprise-grade results without bloatware or subscriptions. We specialize in uncovering hidden gem software that transforms how creators, freelancers, students, and tech enthusiasts work. Discover nano-sized utilities with macro impact that optimize workflows, turbocharge productivity, and unlock creative potential.

🚀 Why Our Community Grows Daily: ✅ Zero Fluff, Pure Value: 100% practical tutorials with actionable takeaways ✅ Exclusive Tools: Get first access to our custom-built apps like Deep Prompt Generator Pro ✅ Underground Gems: Software you won't find on mainstream tech channels ✅ Performance-First: Every tool tested for system efficiency and stability ✅ Free Resources: Download links + config files in every description

🧰 CORE CONTENT LIBRARY: ⚙️ PC Optimization Arsenal Windows optimization secrets for buttery-smooth performance System cleanup utilities that actually remove 100% of junk files Memory/RAM optimizers for resource-heavy workflows Startup managers to slash boot times by up to 70% Driver update automation tools no more manual hunting Real-time performance monitoring dashboards

🤖 AI Power Tools Local AI utilities that work offline for sensitive data Prompt engineering masterclass series Custom AI workflow automations Desktop ChatGPT implementations Niche AI tools for creators: image upscalers, script generators, audio enhancers AI-powered file organization systems

⏱️ Productivity Boosters Single-click task automators Focus enhancers with distraction-killing modes Micro-utilities for batch file processing Smart clipboard managers with OCR capabilities Automated backup solutions with versioning Time-tracking dashboards with productivity analytics

🎨 Creative Workflow Unlockers Content creation accelerators for YouTubers Automated thumbnail generators Lightweight video/audio editors 50MB Resource-efficient design tools Cross-platform project synchronizers Metadata batch editors for digital assets

🔍 Niche Tool Categories Open-source alternatives to expensive software Security tools for privacy-conscious users Hardware diagnostic toolkits Custom scripting utilities for power users Legacy system revival tools

[stuarttechnologybob]

How does AI contribute to the automation of software testing?

AI-Based Testing Services

In today’s modern rapid growing software development competitive market, ensuring and assuming quality while keeping up with fast release cycles is challenging and a vital part. That’s where AI-Based Testing comes into play and role. Artificial Intelligence - Ai is changing the software testing and checking process by making it a faster, smarter, and more accurate option to go for.

Smart Test Case Generation:

AI can automatically & on its own analyze past test results, user behavior, and application logic to generate relevant test cases with its implementation. This reduces the burden on QA teams, saves time, and assures that the key user and scenarios are always covered—something manual processes might overlook and forget.

Faster Bug Detection and Resolution:

AI-Based Testing leverages the machine learning algorithms to detect the defects more efficiently by identifying the code patterns and anomalies in the code behavior and structure. This proactive approach helps and assists the testers to catch the bugs as early as possible in the development cycle, improving product quality and reducing the cost of fixes.

Improved Test Maintenance:

Even a small or minor UI change can break or last the multiple test scripts in traditional automation with its adaptation. The AI models can adapt to these changes, self-heal broken scripts, and update them automatically. This makes test maintenance less time-consuming and more reliable.

Enhanced Test Coverage:

AI assures that broader test coverage and areas are covered by simulating the realtime-user interactions and analyzing vast present datasets into the scenario. It aids to identify the edge cases and potential issues that might not be obvious to human testers. As a result, AI-based testing significantly reduces the risk of bugs in production.

Predictive Analytics for Risk Management:

AI tools and its features can analyze the historical testing data to predict areas of the application or product crafted that are more likely to fail. This insight helps the teams to prioritize their testing efforts, optimize resources, and make better decisions throughout the development lifecycle.

Seamless Integration with Agile and DevOps:

AI-powered testing tools are built to support continuous testing environments. They integrate seamlessly with CI/CD pipelines, enabling faster feedback, quick deployment, and improved collaboration between development and QA teams.

Top technology providers like Suma Soft, IBM, Cyntexa, and Cignex lead the way in AI-Based Testing solutions. They offer and assist with customized services that help the businesses to automate down the Testing process, improve the software quality, and accelerate time to market with advanced AI-driven tools.