In software testing, tracking defect density before a release is one of the most important ways to ensure the product meets quality standards. Defect density measures the number defects found in a module or system compared to its size giving QA teams a clear picture of the software’s quality. This metric helps testers pinpoint areas […]
In the fast-moving world of software development, Continuous Integration (CI) and Continuous Deployment (CD) have transformed how we create and release software. CI/CD allows teams to regularly merge code changes, run automated tests, and quickly deploy updates—sometimes multiple times a day. While this approach speeds up development, it also presents challenges for Quality Assurance (QA) […]
Low code and no code platforms are transforming how the software is developed, making it faster and more accessible. These platforms provide visual development environments, pre built components, and simple drag and drop features, enabling applications to be built with minimal coding knowledge. This democratization of development allows even non technical teams to create functional […]
Test Data Management (TDM) is a key part of software development that often doesn’t get the attention it deserves. In today’s case, where companies are constantly rolling out updates and new features, ensuring these releases are of good quality is essential. A big part of that is having the right data to test with. If […]
In the ever-evolving world of software development, the role of testers has transcended the traditional notion of simply identifying bugs at the end of the development cycle. Fostering a collaborative testing environment is paramount to achieving high-quality software that meets user needs. This blog post delves into how testers can effectively collaborate with various team […]
AI empowers software testers by predicting potential future defects in software testing. It does this by analyzing historical data, identifying patterns, and applying machine learning algorithms. This predictive capability significantly enhances the efficiency and effectiveness of the testing process, giving testers a greater sense of confidence in their work. Here’s how AI can be leveraged […]
Increasing productivity within the development team as a tester involves not only improving our own efficiency but also fostering collaboration optimizing the testing process and completing the cycle. Here are some of the strategies to contribute to increase the productivity to development team. Early Involvement: Early Involvement of testers in the development process is crucial […]
Root Cause Analysis (RCA) in the context of production release in software testing is a critical process. It involves identifying and solving the core issues that led to problems during the release process. This could include bugs that were missed during testing, issues that arise only in the production environment, or problems related to the […]
In the world of software testing, quality analyst like me plays a pivotal role in ensuring that applications meet high standards of functionality, performance, and security. One essential testing technique that quality analysts employ to achieve this negative testing. Negative testing, also known as error path testing or invalid input testing, is a critical approach […]
Based on my experience test data is a critical component of successful testing. It plays a pivotal role in ensuring that my testing efforts are comprehensive, accurate, and effective. Some of the realistic scenarios test data allows me to simulate the real-world scenarios and conditions that users might encounter when using the application. Realistic data […]