All software undergoes continuous modifications. Sometimes developers do so to fulfill clients’ requests, and other times it is to upgrade the functionality or security features. But whatever the case, any changes made to the software require continuous monitoring and maintenance. Testing software for how maintainable it is, is called Maintainability testing. Let’s dive deeper into the subject in this blog. We will also talk about automated testing with maintainability testing.

Reviewing your work is critical in the software development life cycle (SDLC). It reduces the instances of human errors and allows for better-quality code. Similarly, peer review in important, that involves peers checking each other’s work. But why is it essential, and how much software quality does it improve? Let’s see.

As a software project ends, every tester must check the effectiveness of the testing process to gain insights into the areas of improvement. So, QAs create a Test Closure Report. It includes all the test data, such as test cases, test plans, test suites, and other testing-related information for future reference. With this report, the test insights are recovered, making reviewing the testing process easier and identifying improvement areas in future projects.

Nowadays, ‘Quality’ is becoming a crucial factor in software delivery, where continuous improvements are happening to improve the quality in order to keep the customers happy. However, how often have we seen risk based testing as part of a testing strategy or something that teams religiously do every sprint, during regression testing or any exploratory testing?

Modern web automation is changing, and new automation tools are emerging into the market. New tools provide a bundle of features for End-to-End Testing, API Testing, and Component testing. Interestingly some of the tools even started utilizing Artificial intelligence and codeless automation. Most of the automation shares one important thing which is the locator.

Two crucial concepts in software testing are test effectiveness and test efficiency. While both terms are often used interchangeably, they have distinct meanings and contribute differently to the overall testing process. Understanding the difference between test efficiency and test effectiveness is key to optimizing software quality. In this article, we will talk about test efficiency and test effectiveness, their importance, and how they are calculated. Let’s dive in.

Did you know software errors cost the US economy an estimated $1.7 trillion annually? Or that software defects are responsible for 25% of total system failures? These statistics highlight the importance of software testing. The software testing life cycle encompasses activities executed during the testing phase. By following these six key testing phases, you can ensure that the final product is free from errors, glitches, and other issues that can hamper its performance.

Error-guessing is an intuitive methodology that uses testers’ expertise and intuition to detect flaws that traditional testing methods may miss. In this post, we’ll look at the fascinating notion of error-guessing.

Regression testing is a software testing process that involves verifying the functionalities of an application or system after modifications have been made that could impact its performance. Unit testing is a software testing process that involves thoroughly testing individual functions or modules of a program using specialized tools. Unit testing helps testers to catch bugs early in the development process when they can be addressed more efficiently.

Over the years, software developers have heavily relied on manual testing processes, which continue to play a vital role in the testing phase. However, it’s important to acknowledge that there are scenarios where test automation becomes important too. That is where test automation tools come in handy. In recent years, automated testing has emerged as a valuable addition to the field of software testing.