Picture this: you are an experienced software developer in a globalized world, striving patiently to create the most perfect software that can cater to customers from all walks of life and time, language, and cultures. You have spent countless hours coding, testing, and debugging, but you still can not seem to get it right. Your software works flawlessly in one region, but the moment you introduce it to another part of the world, everything falls apart tremendously.

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.

Are you struggling with database issues such as data integrity, performance, and security? Look no further! Database testing is a process that can help you address these issues and ensure the reliability of your database system. In this comprehensive guide, we’ll explore everything you need to know about database testing, including its types, components, checklist, best practices, and automation tools.

Hardware and software systems often involve numerous parameters that influence a system’s output(s). Those parameters can represent input, environment, or usage patterns and can have a finite or infinite number of options/values. For instance, on a booking flights website, the Flying From, Flying to, Class, (number of) Adults, and (number of) Children input parameters can easily provide hundreds of different combinations for creating tests.

Say goodbye to constant “One-Offs” and hello to “Set It and Forget It”

Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.

In the rapidly changing software development industry, enterprises must keep up with the latest trends or risk falling behind. The State of Software Quality Report 2023, with insights from over 3000 QA teams, provides a comprehensive view of the software quality landscape. Experts from Katalon, Deloitte, and Cigniti recently participated in a webinar. They shared their real-world experiences and discussed best practices and strategies to enhance software quality and achieve business success.

Deploying trained models takes models from the lab to live environments and ensures they meet business requirements and drive value. Model deployment can bring great value to organizations, but it is not a simple process, as it involves many phases, stakeholders and different technologies. In this article, we provide recommendations for data professionals who want to improve and streamline their model deployment process.

As we hurtle into a more connected and data-centric future, monitoring the health of our data pipelines and systems is becoming increasingly harder. These days we are managing more data and systems than ever before, and we are monitoring them at a higher scale.