#Selenium

In the world of automated testing, companies have a choice between using open source solutions like Selenium or investing in commercial testing tools. Despite the availability of feature-rich commercial tools, many companies continue to choose Selenium as their go-to testing framework. This trend raises an important question: Why are so many organizations opting for Selenium

As organizations seek to improve testing speed and efficiency, many turn to Selenium Grid for parallel test execution. A Selenium Grid allows teams to run multiple tests across various browsers, reducing execution time and increasing test coverage. However, while Selenium Grid offers flexibility, it also comes with considerable costs and challenges in setup, maintenance, and

Synthetic data generation is essential in modern testing, particularly when real data is unavailable, incomplete, or sensitive. Testing teams need diverse and realistic data to ensure applications function properly. Real data can pose privacy issues, GDPR compliance challenges, or simply be nonexistent. Alchemy’s built-in Synthetic Data Generator streamlines this process.  What is Synthetic Data?   Synthetic

When starting automated testing, a common question is whether you need developers to create and maintain tests. The short answer is: it depends. The complexity of your application, the testing framework you choose, and your team’s skill set largely dictate the need for developer involvement. However, modern tools like Alchemy combine no-code ease with developer-friendly

When it comes to automated testing, organizations often choose between open source solutions like Selenium and commercial testing tools. Both options have advantages and challenges, but teams must weigh cost against functionality. To understand the economic implications of choosing Selenium or a commercial tool, consider both short-term and long-term factors.  Upfront Costs One key reason

No-code tools have gained popularity in software testing, promising to simplify complex tasks for non-technical users. While they enable testers and business users to create automated test cases without coding, these tools also have limitations that can lead to long-term issues. No-Code: A Double-Edged Sword No-code testing tools allow non-programmers to design automated tests, broadening

One of the biggest challenges in software testing is managing test execution times as application complexity increases. Running tests sequentially on local machines can be slow and resource-intensive, causing delays in the development pipeline. Parallel testing, facilitated by Alchemy GridWorks Cloud, addresses this issue by allowing multiple tests to run simultaneously without the need for

A growing debate in the software testing community revolves around whether testers should adopt low-code/no-code tools for building automated test suites or continue using traditional scripted automation tools like #Selenium or #Playwright, which require coding proficiency in languages such as Java, Python, Ruby, or C#. Let’s first clarify the terminology. Low-code tools involve minimal coding

In software testing, data-driven testing (DDT) is vital for achieving comprehensive coverage. This approach allows the same test steps to be executed multiple times with varying input data, addressing a range of scenarios from edge cases to typical user interactions. Alchemy enhances this process with powerful tools like its Synthetic Data Generator. Benefits of Data-Driven

In today’s fast-paced software development environment, automated testing has become indispensable. However, a growing concern for companies is the risk of *vendor lock-in* when using proprietary testing tools. Vendor lock-in occurs when an organization becomes so dependent on a vendor’s software that transitioning away becomes costly and complex. One significant way to mitigate this risk