Systems | Development | Analytics | API | Testing

Database testing is the process of evaluating the accuracy, reliability, and performance of a database system. Its purpose is to ensure that the data stored there is consistent, valid, and can be correctly manipulated for business needs. The components to be tested are usually database schema, tables, and database triggers. Testers leverage SQL queries, data comparison tools, automation frameworks, or load testing tools to examine the data integrity, validity, security, performance, and structure.

There is no doubt about it: Artificial Intelligence (AI) and Machine Learning (ML) has changed the way we think about software testing. Ever since the introduction of the disruptive AI-powered language model ChatGPT, a wide range of AI-augmented technologies have also emerged, and the benefits they brought surely can’t be ignored. In this article, we will guide you to leverage AI/ML in software testing to bring your QA game to the next level.

We’ve got something truly special in store for you. We reached out to our expansive testing community, consisting of 40,000 testers, and posed a question about leveraging GPT prompts for various software testing scenarios and tips for effective prompting. The response was nothing short of astounding, and today, we’re thrilled to bring you the incredible insights we gathered. Prepare to be amazed as we unveil 15+ best ChatGPT prompts for software testing enthusiasts like you.

If you’re interested in automating the testing of your web application, there are three categories of tools to understand: The best automated testing solution for your web application will depend largely on the resources you have and the tradeoffs you’re willing to make. In this piece, I’m going to help you understand the strengths and shortcomings that come with each of these types of testing tools, as well as who they’re each best-suited for.

Strap in for a lengthy updates post, as we have yet another slew of improvements and new features for you!

Agile was once the high school cool kid that everyone either wanted to be or be with. Now, it’s the valedictorian leading the software development class. DevOps didn’t just join the party; it became the DJ, setting the tempo for developers and testers alike. The good ol' days of ‘Us vs. Them’ are so yesteryear.

Agile Pod is a small, custom agile team with about four to eight members, responsible for a single task, path, or area of the product backlog. This organizational system gives complete ownership and freedom to the team and is a step forward towards completely responsible, self-disciplined, and self-sufficient teams. Agile Pods aim to realize the full potential of the brilliant agile teams we have and set the stage for the best quality output.