A bug life cycle (also known as a defect life cycle) refers to the journey of a defect in which a defect passes throughout its lifetime. It entails all states ranging from the detection of a new defect to the closing of the particular defect by a tester. Typically, the bug life cycle in software testing depends on the organisation and the project. The reason is that the software testing process controls it, and it also depends on the tools used.

Software testing has many types of testing – Functional, unit, integration, system, smoke, regression, and sanity testing. Despite their differences, they all fall under Positive or Negative Testing. This blog post will explain how to implement negative testing in test automation tools. It provides an overview of negative testing with examples of common negative test scenarios.

A clean test script is a good test script. But a well-maintained test script is the best. And while developers work hard to add/update application features, it is the well-maintained test scripts that pick out tiny mistakes that slip into the code. You can turn to automation testing to fix the mistakes in the software, but what if the test cases themselves are wrong? maintenance Testing helps here. It keeps the tests up to date, ensures AUT quality, and increases overall test coverage.

In today’s digital world, databases are crucial for the success of almost every organization. They store and retrieve data for software programs to function smoothly. However, as databases become more complex, testing them becomes increasingly challenging. This is where database testing comes in. In this article, we will discuss the top 10 database testing tools available today, along with their features, pros, and cons.

We know Software testing is an essential part of software development. Static and dynamic Testing are two approaches to Testing software that are important for ensuring the software’s quality. This blog will discuss the differences between static and dynamic Testing and when to use each approach.

Different regions in the world speak different languages. And, its not only the languages that differ, they may have different ideologies, different standards and different perspectives on how the world should behave. But what do you when you are building an application for a world that is so diverse? You build in localization into it. And how do you ensure that this localization works? You test it via localization testing.

We’re excited to announce our latest release, packed with new features to take your testing to the next level. We built these features with testing efficiency in mind for quality engineering teams delivering quality releases at speed. Let’s begin! Our brand new API testing interface comes with powerful features that support real-time API response validation, testing of different API methods (GET, PUT, POST, DELETE, PATCH), and data-driven API testing. Learn more.

Static Testing Techniques, also known as dry run testing, may give you a feeling of drowsiness, but don’t fall asleep yet! In technical words, this testing technique ensures the software development process runs smoothly and without a hitch. This technique involves analyzing the software documentation, code, and functional specifications. Yeah, it may sound bland, but it’s a necessary evil.

An application undergoes testing way more than it goes through the development and modification phases. First, developers perform Unit testing. Then after production is complete, QA verifies multiple aspects, including Performance, Functionality, Integration, Regression, UI, and more.

Hello and welcome to another interesting blog. Are you curious about what we have lined up for today? Before I begin, I’d like you to consider the term “Communication Gap,” which is commonly used in our projects. This is a well-known phrase, and we typically believe that good communication is a skill that must be learned for years as if it is an alien language.