DEV Community: Alexi

AI and ML in Software Testing: How These Technologies Are Transforming QA

Alexi — Mon, 08 Jun 2026 06:09:29 +0000

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming the field of software testing and quality assurance (QA). Traditional testing approaches are giving way to more efficient methodologies that leverage AI and ML to improve defect detection.

Integrating AI and ML into QA processes yields several significant benefits:

Faster Test Execution: AI-powered tools can execute tests in parallel, speeding up the testing cycle. This reduces the time to get feedback on code changes.
Reduced Manual Effort: Routine tasks like test runs, data entry, and bug assessment can be handled by AI.
Cost Savings: Automated testing with AI can lead to significant cost savings. Tests can run continuously without human intervention.
Enhanced Defect Detection: Machine learning models can analyze test data to detect patterns that indicate potential defects. This allows QA teams to address issues before they affect users, improving software reliability.

While AI offers many advantages, it also comes with challenges and limitations:

Implementing AI in testing can be complex. Setting up AI models or tools requires data preparation, configuration, and often a certain level of technical expertise.
AI systems, especially deep learning models, can make decisions that are hard to interpret.
If not carefully validated, AI can produce false positives (flagging something as a defect when it’s not) or false negatives (missing a real d
efect).
AI tools often require ongoing maintenance and updates.

To successfully integrate AI and ML into QA, you may consider the following best practices:

Define what you want to achieve with AI in QA. Whether it’s reducing test execution time, improving defect detection - having clear goals will guide your implementation.
Don’t rely solely on AI automation or solely on manual testing. Instead, adopt a hybrid model in which AI handles repetitive or data-intensive tasks, while humans handle the creative, judgment-based aspects.
Identify which testing tasks will benefit most from AI. Start with high-impact areas like automating large test suites, predicting defects, or handling visual testing.

AI and ML are transforming QA in profound ways. Those who embrace these technologies and integrate them thoughtfully into their testing workflows will gain a competitive edge in delivering high-quality software faster.

Welcome to the Fast-Food Era of Testing: Over-Weight by Tests

Alexi — Mon, 25 May 2026 07:24:59 +0000

In software testing, it’s crucial not only to ensure the quality of the product but also the quality of the testing process itself. This is assessed using QA metrics—indicators of test effectiveness, code coverage, and teamwork. One key metric is test coverage—the percentage of code or requirements covered by tests. QA professionals must stay flexible, assess project needs, and clearly communicate priorities to PMs. They should not blindly follow test plans or documentation; instead, they should apply critical thinking and common sense.

I recently attended a testing conference where the concept of the “Fast-Food Era of Testing—being overwhelmed by tests” caught my attention.

I want to share it with you because I completely agree with the speaker’s point: achieving 100% test coverage remains unachievable, so the task of QA is to strike a balance.

*Fast-Food” Testing: 100% Code Coverage ≠ 100% Bug Free Product *

There are some misconceptions about high test coverage, such as the assumption that it guarantees bug-free software. Blindly pursuing 100% test coverage can create more problems than it solves. Here’s how:

False Sense of Security:

Achieving 100% coverage may seem like a victory, but there may be hidden problems. Bugs often hide in areas that automated tests can’t predict, such as untested edge cases or real-world scenarios, because test coverage only shows how much of the app’s functionality is covered by tests, not how good those tests actually are.

Maintenance Cost:

More tests mean higher maintenance costs, as each test needs to be updated and managed regularly.

Diminishing Returns:

As you get closer to 100% coverage, it becomes harder to add meaningful tests. At some point, you’re just writing superficial, redundant tests to tick a box or boost metrics. You might even start writing tests that cover lines of code, but don’t test the actual functionality.

Opportunity Cost:

Time and resources spent on maintaining excessive tests could be better utilized elsewhere, such as improving tests quality or developing new features.

Business Risk:

Over-reliance on a large number of tests can introduce business risks, such as delayed releases or increased costs, impacting overall business performance.

The “Health” plan

To keep testing healthy, think of a balanced “meal plan” for QA:

H

— High-Value Focus

Focus on Minimum Viable Testing (MVT). Add only tests that bring clear business value.

E

— Eliminate Junk

Find and change flaky, remove duplicate, or low-value “fast-food” tests.

A

— Adopt Routines

Hold regular pruning sessions and refactor to keep the test suites clean and reliable.

L —

Level Coverage

Balance coverage at all levels—unit, integration, system. Give priority to high-risk, business-critical flows rather than chasing 100 % coverage.

T

— Track Relevance

Design tests with purpose. Continuously check if each test still aligns with current requirements and business needs.

H

— Healthy Mindset

Apply the 80/20 rule: 20% of well-designed tests often catch 80% of critical issues — so value quality over quantity.

Manual vs Automated Testing: A False Dichotomy

Alexi — Mon, 11 May 2026 07:21:53 +0000

In testing, we often talk about the “balance between manual and automated testing,” but this is a misleading way to think about it. Testing is not about dividing work into manual or automated. It is a process of exploring and verifying the product.

When faced with a certain task, the focus should not be on “balance,” but instead on which tools and approaches are best suited to accomplish that task.

Manual testing is indispensable, as manual test cases serve as the foundation for future automation. Manual testing revolves around the aspects that automated testing can't cover. These include visual application checks and the ability to test specific user experience-based scenarios that are impractical to automate. On the other hand, automated testing has its advantages. It eliminates the human factor, allows you to use the same scenarios repeatedly, and is much faster than manual testing.

Moreover, manual testing experience is invaluable for automation testers. Understanding the app from a user's perspective helps automation testers write better scripts and prioritize what to automate.

However, this is not a question of balance, but of effectiveness in choosing the right approach for the current product needs.

For example, when you go to the store, you don’t think about “balancing walking and biking.” Instead, you consider whether the bike will save time or effort, whether you’re in a hurry, or if it’s more convenient to carry your groceries by bike. You simply choose the option that best accomplishes the task.

The key point is to have a diversity of tools and approaches. This diversity enables better adaptation to the product’s complexity. It is diversity, not balance, that is the key to quality testing.

Let’s Talk About Micromanagement....

Alexi — Mon, 11 May 2026 07:16:07 +0000

Is Micromanagement Sometimes Good and Necessary?

Let’s Talk About Micromanagement....

The dictionary defines micromanagement as “to direct or control in a detailed, often meddlesome manner.” Micromanagement can lead to destructive leadership, which in turn may harm the company’s interests, create a toxic work environment, and reduce employee productivity and motivation.

When Micromanagement Makes Sense?

There are situations where it can be helpful, but only temporarily (from 1 week to 1 month):

*Onboarding a new employee to your team *

At first, even skilled professionals may need direct, hands-on guidance in certain areas to adapt to the workflow and understand the product quickly. This focused support can accelerate their integration. The key is to know when to give them space to work independently.

*Introducing a trainee or junior to a project *

For less experienced team members, close supervision helps them learn faster, avoid common pitfalls, and build confidence before taking on more autonomy.

*Managing high-risk projects *

When mistakes could have serious consequences, maintaining tight control in the early stages can protect outcomes while the team aligns on expectations.

In these cases, focused micromanagement helps ensure success while gradually transitioning to greater independence.

Micromanagement might look like a good way to make sure everything gets done correctly, but in the long run, it usually backfires. Trust, autonomy, and open communication go much further than constant oversight and help create an environment where teams thrive, innovate, and reach their full potential. Finding the right balance between freedom and control is what a good manager is really about.

The Importance of Testing Your E-commerce Website

Alexi — Fri, 17 Apr 2026 08:41:06 +0000

In today’s digital-first world, your e-commerce website is crucial to your business’s success. But what happens when a beautifully designed website fails to deliver on functionality? Customers can’t add items to their cart, payments fail, or mobile users face a glitchy checkout. The result? Plummeting sales, frustrated customers, and a damaged brand reputation.

Here’s the hard truth: 88% of online shoppers won’t return to a website after a bad user experience, and a one-second delay in page load time can lead to a 7% drop in conversions. In a $6.3 trillion e-commerce industry, these numbers are more than just statistics—they’re a wake-up call.

Key Aspects to Test

Functional Testing: Ensure every feature—product pages, search bars, add-to-cart buttons, and checkout processes—works flawlessly. A single broken button can lead to abandoned carts.

Payment Gateway Testing: (part of functional testing) A key aspect of e-commerce testing is eliminating failed transactions to boost revenue and enhance customer confidence.

Usability Testing: (performed alongside functional testing) Deliver an intuitive, mobile-friendly, and accessible shopping experience. Frustration-free navigation = higher conversions.

Compatibility Testing: Ensure seamless performance across browsers, devices, and operating systems.

Performance Testing: Optimize for traffic spikes during sales events. Slow load times or crashes can cost you revenue.

Security Testing: Protect customer data and ensure compliance with PCI DSS (Payment Card Industry Data Security Standard). A single breach can destroy trust and lead to legal repercussions.

Best Testing Approaches

Combine Automation and Manual Testing: Automation speeds up repetitive tasks, while manual testing uncovers real-world usability issues.

Adopt Continuous Testing: Integrate testing into your development workflow to catch issues early and often.

Involve Real Users: Conduct beta testing and A/B testing and gather feedback to fine-tune the customer journey.

The Bottom Line

The success of your website entirely depends on the customer experience. A single technical issue can mean the difference between keeping and losing a customer. By investing in a comprehensive testing strategy, you’re not just preventing problems—you’re creating opportunities for growth, loyalty, and competitive advantage.

Hidden Features of Postman You Might Not Know

Alexi — Tue, 07 Apr 2026 09:18:56 +0000

Postman is already a favorite tool for testing APIs, but it offers several less obvious features that can take your testing to the next level. Here are some hidden features:

_1. Monitoring Requests _

Postman allows you to set up monitors to run your collection of requests at specific intervals and get detailed reports. This is great for checking API stability over time.

Where it's useful: Monitoring API performance and receiving failure alerts in real-time.

_2. Postman Flows _

A visual tool for creating complex workflows without writing code. With Flows, you can chain multiple requests like a flowchart, building automated test scenarios.

Where it's useful: For setting up multi-step test scenarios with dependencies between requests.

_3. Code Generation _

Postman can generate code snippets for your HTTP requests in multiple programming languages, including JavaScript, Python, Ruby, Go, Swift, and more.

Where it's useful: Quickly integrate API requests into your application without writing them from scratch.

_4. Environment Variables _

You can create environment variables for different setups (Dev, Staging, Production) and switch them on the fly without modifying your requests manually.

Where it's useful: Running the same collection in multiple environments without editing individual requests.

5. File Upload Support

Postman supports file uploads for POST and PUT requests. This is useful for testing APIs that handle file transfers, such as images or documents.

Where it's useful: Testing file upload functionality in services like cloud storage.

6. Automated Response Validation (Test Scripts)

You can write JavaScript test scripts to validate API responses automatically. For example, you can check the status code, response structure, or specific field values.

Where it's useful: Creating functional API tests and validating returned data.

_7. CI/CD Integration _

Postman collections can be easily integrated with Jenkins, GitLab CI/CD, or other CI/CD tools. This automates API testing with every code commit.

Where it's useful: For full API test automation as part of your deployment pipeline.

Postman is more than just a request runner—it's a full-featured API testing and automation platform. What's your favorite hidden feature?

The Testing Pyramid: A Strategic Approach to Efficient Software Testing

Alexi — Tue, 07 Apr 2026 09:14:57 +0000

Software testing is essential for ensuring a product's functionality and quality, but how do we optimize it to catch issues at the early stages of development? The answer is the Testing Pyramid.

According to the ISTQB glossary, the Testing Pyramid is "A graphical model representing the relationship of the amount of testing per level, with more at the bottom than at the top." In simpler terms, the Testing Pyramid prioritizes smaller, automated tests at the base and progressively fewer, more complex tests as you move up. Here's a closer look at the levels and benefits of this approach:

Levels of Testing Pyramid

*1. Unit Testing *

Unit testing is the primary testing phase in software development. It focuses on independently testing individual software units or components to ensure correct functionality and accurate output. Developers regularly create and execute unit tests using automated testing tools to streamline the testing process

*2. Integration Testing *

Following unit testing, integration testing focuses on how different software components interact. This phase helps catch any issues arising when these units are combined, ensuring that your system's parts work smoothly.

*3. System Testing *

System testing assesses the entire software system to validate its functionality against specified requirements. This testing phase ensures all components are properly integrated, and the software operates as intended in the target environment.

*4. Acceptance Testing *

Acceptance testing is the last level to ascertain whether the software is ready for deployment to production. It confirms whether the software aligns with business requirements and adequately meets user needs.

Why Use the Testing Pyramid?

Logical framework: The testing pyramid provides a clear framework for prioritizing different levels of testing. It recommends executing smaller, simpler tests (unit tests) first while reserving more complex tests (integration and end-to-end tests) for later stages.

Early feedback: The testing pyramid allows testers to receive prompt feedback on application performance by integrating tests at various stages of the software development cycle. This rapid detection and resolution of defects ensure the delivery of a high-quality product to the user by addressing issues early in the development process.

Enhanced test coverage: The pyramid ensures broad test coverage across the entire application by testing at multiple levels. This comprehensive approach identifies potential risks in various components early on.

Cost efficiency: Early bug detection through unit tests minimizes the cost of fixing defects, as issues are identified before they escalate into more significant problems later in the development cycle.

Benefits of IoT Testing

Alexi — Wed, 18 Feb 2026 11:47:19 +0000

The Internet of Things (IoT) is a technology that enables devices to communicate with each other over the Internet, creating smart solutions for our daily lives. IoT is transforming how we interact with technology, from smart thermostats and fitness bands to self-driving cars. However, with each new connected device, the risk of errors increases. IoT testing is essential to ensure these technologies work reliably and securely, from security issues to interoperability challenges.

Benefits of IoT Testing

Provided Product Quality: Proper testing ensures that IoT devices function correctly, increasing user satisfaction and trust.

Enhanced security: Many IoT devices handle sensitive data, making them vulnerable to hacking and cyber threats. Testing helps identify vulnerabilities and implement timely security measures.

Reduced costs: Early testing identifies and resolves issues, preventing costly future problems, malfunctions, or product recalls.

Improved performance: Testing uncovers performance issues such as connection problems, allowing manufacturers to offer devices that meet user expectations.

Better compatibility: Testing ensures that IoT devices from different manufacturers work seamlessly together, enhancing user experience.

IoT testing is key to ensuring smart devices' reliability, security, and high performance. Without it, the risks of malfunctions increase significantly, and your users can face many problems.

Common Myths About Software Testing

Alexi — Mon, 16 Feb 2026 12:16:34 +0000

Think testing is "easier than development"? That manual QA is "boring"? Let’s break down some of the most common myths in the world of software testing:

🔍 Top Testing Myths – Exposed

Myth #1: Testing is easier than development.

✅ Truth:

Testing requires unique skills, including analytical thinking, user empathy, and system-level reasoning. Because of the complexity of their roles, many senior testers earn as much as developers.

🔍 Myth #2: Automated testing is better than manual testing.

✅ Truth:

Automation is essential, but it complements manual testing, not replaces it. Exploratory UX testing requires human judgment and intuition, which automation can’t fully replicate.

🔍 Myth #3: To become a QA, you need a technical degree.

✅ Truth:

Many top QAs come from non-tech backgrounds (sports, design, humanities). What matters is a passion for learning, curiosity, and structured thinking.

🔍 Myth #4: Practice is more important than theory.

✅ Truth:

Many new testers believe hands-on experience is enough. However, understanding testing principles, methodologies, and risk analysis helps QAs not only find bugs but minimize their appearance.

Myth # 5: "Bug-free software exists"

✅ Truth:

No software is ever truly bug-free. Even mission-critical systems like those at NASA or in medical devices contain defects, often measured in terms of "defects per million lines of code." The goal of testing isn’t to eliminate every possible issue but to minimize risk, improve reliability, and ensure critical functionalities work as expected.

Myth # 6: "Missed bugs = QA’s fault"

✅ Truth:

Software quality is a shared responsibility. A missed bug can result from unclear requirements, unrealistic deadlines, or complex edge cases. Instead of blaming QA, top teams focus on root cause analysis, continuous improvement, and preventive strategies.

💡 Key Takeaway

Testing is a vital part of the development process that requires creativity, expertise, and collaboration.

🤔** Which myth surprised you the most? Let’s discuss it! **

Interacting with Chrome DevTools from WebDriverIO

Alexi — Thu, 29 Jan 2026 13:51:29 +0000

WebDriverIO is a testing framework that lets you automate web applications. One of its powerful features is the ability to interact with Chrome DevTools, which is very useful when testing websites.

With WebDriverIO, you can:

Open and control Chrome DevTools automatically when your website loads.
Inspect network requests, console logs, and performance without manually opening DevTools.
Test Chrome extensions or plugins installed on your website.
Automate UI interactions inside DevTools, like clicking buttons, switching tabs, or checking elements.

*General Steps for Testing Chrome DevTools Extensions with WebDriverIO *

**Setting Up Extension

Get the .crx file of the Chrome extension you want to test.

Set Up WebDriverIO in Your Project
**
Make sure WebDriverIO is installed. If not, you can install it by following the official installation guide here [https://webdriver.io/docs/gettingstarted/#initiate-a-webdriverio-setup]

Create a configuration file (wdio.conf.js).

Configure Chrome for Testing

Specify Chrome as the browser in the config.

Use --auto-open-devtools-for-tabs to automatically open DevTools.

Add your extension through the extensions option (read the .crx file in base64).

Write the Test Script

Open the website where the extension will be tested.

Get all window handles.

Switch to the DevTools window using its handle.

Switch to the extension iframe if applicable.

Interact with the extension (clicks, form input, element checks).

Switch back to the main window after testing.

Use Keyboard Shortcuts for DevTools Navigation

Example: Linux: Key.Control + '[' to switch tabs.

Mac: Key.Meta + '['.

Run the Tests

Execute:

npx wdio run wdio.conf.js

Chrome will open the site, DevTools, load the extension, and run your test.

Maintain and Customize

Modify the script for any extension.

Use browser.switchToFrame() and browser.switchToWindow() to manage windows and iframes properly.

Why it’s useful:

Helps catch issues faster by combining automated testing with DevTools inspection.
Reduces manual debugging steps.
Makes testing more thorough, covering both the website and any extensions/plugins that affect it.

By using WebDriverIO with Chrome DevTools, you can test websites more effectively, catch hidden issues, and ensure everything works smoothly for your end users.

Tips for staying motivated during challenging projects

Alexi — Fri, 16 Jan 2026 17:40:31 +0000

Let's face it — challenging projects can test our patience, focus, and determination. However, staying motivated through challenging moments is what sets successful outcomes apart. Here are some tips to keep you going when the going gets tough:

Focus on Small, Meaningful Wins

Set a daily goal that feels achievable, something that leaves you with a sense of satisfaction at the end of the day. It could be as simple as having that tough conversation you've been putting off or getting your bug queue updated. Stretch yourself a little, and celebrate each win — no matter how small!

Keep The Focus On Your "Why'

Remember why you started the project in the first place. Whether it's achieving a personal goal, helping your team, or solving a real problem, your purpose can fuel your drive.

Cross Tasks Off Your List

Waiting on dependencies or decisions can be frustrating, but don't get stuck reworking tasks. If something's done, mark it as complete and move forward. Find something essential that's been overlooked and make it your goal to tackle it.

💡

Lean on Your Team

You don't have to do it all alone. Collaborate, seek advice, and share the load with your team. Fresh perspectives can reignite your motivation.

🧘‍♀️

Take Breaks

Pushing too hard can lead to burnout. Step away when needed, recharge, and return with a clear mind. Sometimes, a short walk or even a quick nap can work wonders.

Challenging projects are demanding, but they're also where growth happens. Keep your eyes on the prize, and don't forget to celebrate the journey!

Automated Testing with Playwright: Why It Should Be Your Next Move

Alexi — Wed, 14 Jan 2026 12:45:40 +0000

If you're looking for a reliable and efficient framework for automating web application testing, Playwright is the answer. This framework has already earned the trust of major corporations and government agencies thanks to its stability, speed, and flexibility.

Let’s dive into why Playwright deserves your attention and how it can help you improve your product quality.

Playwright is a modern framework for automating web application testing. It supports JavaScript/TypeScript, Java, Python, and C#.

*Features of Playwright: *

Cross-browser testing: Works with Chromium (Google Chrome, Microsoft Edge), WebKit (Safari), Firefox.

Auto-waiting: Elements are checked before actions are performed, eliminating errors related to timeouts.

Isolated browser contexts: Allows testing multiple scenarios simultaneously without conflicts.

Shadow DOM support: Selectors work even with elements inside the Shadow DOM.

Why Playwright?

Stability and Accuracy

Playwright automatically waits for elements to be ready before performing actions. This eliminates errors caused by incorrect waits and makes tests more stable.

Fast Test Execution

Playwright creates a new browser profile for each test in milliseconds, significantly speeding up the testing process.

Built-in Tools

Codegen: Generates code based on user actions.

Trace Viewer: Records screenshots, videos, and logs for analyzing failed tests.

Playwright Inspector: Examines execution logs, checks locators, and generates selectors.

Support for Modern Browsers

Playwright is regularly updated and supports the latest versions of browsers: Chromium (Google Chrome, Microsoft Edge), WebKit (Safari), Firefox.

**
How to Get Started with Playwright? **

Install Playwright via npm or yarn:

npm init playwright@latest

Create your first test:

javascript

const { chromium } = require('playwright');

(async () => {

const browser = await chromium.launch();

const page = await browser.newPage();

await page.goto('https://example.com');

await page.screenshot({ path: 'example.png' });

await browser.close();

})();

Use built-in tools like Codegen and Trace Viewer to simplify test development.

Playwright is a powerful framework that helps developers create reliable and efficient tests. Its built-in features, such as auto-waiting and isolated contexts, make it an ideal choice for automating web application testing.