Automation testing is the name you hear from almost all software engineers. Ever wondered why? This is because of the versatility of automating the test cases across multiple OS platforms, browsers, and browser versions. Though Selenium is the most widely used tool, there are other testing frameworks that has almost similar features as Selenium. Also, iOS is the widely used operating system as it gives an edge over Android by offering better synchronization between hardware and software.

When Tricentis acquired TestProject and continued to offer it as a “free” tool for its customers, it seemed like a good fit, given the cost-effective nature of TestProject. However, after years of being “free,” the recent news announcement on “TestProject End of Life (EOL) on March 31, 2023,” has not really come as a surprise to many.

The development and delivery of software products is a leading market in today’s tech-savvy world. The demands are all-encompassing and perpetually escalating. To keep up with the ever-increasing demand, testing processes have been swift and perfect for a bug-free release. To make this entire course of testing free from significant errors, choosing the appropriate test management tool is a must.

Any defects that arise in production have a risk of reputation; the software product needs to be tested thoroughly before deploying to the production environment. There are different levels of testing, such as unit testing, integration/API Testing, end-to-end testing, etc. When organizations follow multi-level testing, the defects can be reduced. This blog post discusses the best API testing tools available in the market.

APIs facilitate communication and both-way data trafficking between disparate software systems. API testing validates that these APIs are functional, reliable, secure, and perform optimally. Before going for types and advantages of API testing, let’s first understand API testing and why it matters. This comprehensive guide will teach you all about API testing. Besides, we’d uncover one of the best automated API testing tools available in the market. Table Of Contents.

At ground level, simulation imitates a process or a system through a model. These models are usually software-based and represent the key characteristics of the chosen system you want to imitate. As a result, the simulation collectively represents how the system evolves with respect to various scenarios and times. From testing your apps for one operating system on another to creating a virtual reality environment for learning how to drive a car – simulations are used in numerous use cases.

When a project is sent to the testing team, the work starts for inspection of its quality before shipping it to the end user. As a responsible team, testers always want the number of bugs to be the bare minimum, with no complaints during the release. To bring this vision into reality, the testers have two paths they can take. The first path is aggressive.

Accentuating both quality and security while developing applications is the need of the hour. It helps ensure your application is free from all possible flaws and security loopholes that might lead to significant revenue losses. Testers all across the globe rely on both black box and white box testing to identify and remove all the critical errors before releasing the final product. In this article, I’ll go into detail about Black Box vs.

Bug tracking is one of the most critical stages in the software development lifecycle. It is crucial for software organizations to be able to capture, attract, and resolve bugs throughout the entire development process to release bug-free software. With software quality being the top priority for IT organizations, using defect tracking tools has become the new norm. So in this article, we will discuss the 9 best defect management tools in detail and how they stack up against each other.

Automation testing is a technique in which testers leverage automated software tools for executing test cases. These tests typically include operations that are repetitive in both their nature and outcome. Automating the test suite helps in saving time and effort required in performing repetitive and resource-heavy tasks that are difficult to perform manually. In this blog post, let’s explore the advantages, types, and frameworks of Automation testing.

You can test the software under normal conditions, and that will tell you a lot about what it can and can’t do. What you need to know, though, is how robust that software is. How can it handle intense conditions? How does it cope with error handling? Essentially, you’re testing the software by pushing it beyond its limits, to see exactly when it breaks. That’s information that you need to have, as you’ll then see just how far you can push the software when using it.

In software testing lifecycle, you’d come across two of the most common terms: test cases and test scenarios. After all, these are the building blocks of testing. Getting them right is critical to product success. Test scenarios are derived from a use case, whereas a test case is derived from a test scenario. Using both, we ensure software quality and robustness. Bit tricky, right?

Test plans and test strategies are part of any comprehensive and effective software QA system. While both often work in tandem and are complementary to one another, they represent different goals. But what’s the difference between them? This common confusion arises due to the fact that there is some overlap when it comes to their usage. This blog post discusses the difference between test strategy vs test plan.

An application can broadly be divided into two categories: frontend and backend. Before releasing a product in the market, it’s essential to test whether both the frontend and backend of the application are working correctly. Frontend testing is the testing of the user interface visible to the user by which users interact with the application. In contrast, backend testing is about testing the actual database and server logic under the hood, which is not visible to the application users.

Before we discuss the difference between manual and automation testing, let’s understand why we need Software testing. Surprisingly in many cases, the importance given to software development won’t be given to testing. If we look into SDLC, testing has greater integrity. Taking it casually and testing in non-real environments will directly impact the entire project and lead to testing failures without a doubt.

Today, software developers have no option but to provide a software application near perfection. Automation is a great way to expand operations and save time and money. All the repetitive testing tasks that take a long time and are challenging to complete manually are automated using automated software tools. On the other hand, manual testing necessitates a trained human’s precise execution of test actions. As a result, automation testing expands the number of tests on a software program.

The Mobile app market is growing at an incredible rate. As of January 2022, over 3.57 million apps were available for download on the Google Play Store, which is only expected to grow in the coming years. With so many apps on the market, it’s becoming increasingly difficult for developers to stand out. One way to ensure that your app is of the highest quality and has the best chance of success is to test it on various devices. This is where Device Farms come in.

In the software development lifecycle, reporting a bug issue is essential. If done correctly will improve the productivity of the development team. Otherwise, it can slow down the entire pipeline. Hence, it would be best if you always write a good and detailed bug report that can help the development team to find and fix the bug without facing any challenges.

When it comes to software development, we are often swamped with varied quality assurance terms that seem to have the same meaning. For instance, we confuse software testing types with software inspection. To give you a brief background: developed by IBM in the early 1970s, the term software inspection came into the picture when it was noticed that software testing wasn’t enough to attain high-quality software. So, what’s the difference between inspection and testing?

Accessibility testing makes weband mobile applications usable by the broadest possible audience. It makes applications accessible to individuals with vision, hearing, and other physical or cognitive conditions. Globally, corporations are concentrating on enhancing customer engagement and retention to maintain market competition. Customers for accessibility testing include individuals with disabilities, who must be considered when conducting business.

End-to-end testing is a type of software testing that checks the system as a whole from start to finish. Regression testing is software testing that checks for errors after changes have been made to the code. Both are important for the software development process. However, they are two different types of tests that serve different purposes.

The Software Development Life Cycle (SDLC) has multiple stages, which include some testing phases. System testing and acceptance testing are integral parts of the overall testing lifecycle. In system testing, we test the system as a whole. We integrate all the modules and components and verify if the system meets the expectations or not. Once we have successfully tested the system, the entire application can be handed over to the users to check for its acceptability.

Testing is an essential element of the increasingly competitive technology industry. It is an integral part of any Software Development Life Cycle or SDLC and can impact the result of all aspects of the project, such as time, cost, and quality. STLC, or Software Testing Life Cycle, is a series of operations carried out by the testing team to ensure the quality of the software or product, and it solely addresses the testing phases. Knowing the entry and exit criteria for STLC is essential.

Several testing procedures and techniques find flaws throughout the Software Testing Life Cycle, abbreviated STLC. Defect leakage measures the percentage of problems that leak from one testing stage to the next, demonstrating the efficacy of testing. However, because certain defects, faults, and mistakes are present at the most internal level of the program, even the most well-known and efficient testing processes cannot locate and identify them all.