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Code Katas for Testers

Testers can do all sorts of things to be more productive and reduce waiting, including cut down on unnecessary documentation, pair with developers, get involved with design, and learn to test at the service level. But at some point, there will be downtime. Lately, I like to do code katas.

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Is unit testing enough for software release?

Unit testing is the first step on the long way to a high-quality software. Its main purpose is to verify code. But what about the other product aspects? Is unit testing enough for a successful release? (more…)

A Guide to Functional Software Testing

Software testing holds a great importance in the life cycle of software development. Software development company like GA Technocare Technology has been able to build successful and smooth-functioning software programs only by putting them through various software techniques. (more…)

Link Real User Journeys And AI-Assisted Techniques To Improve Quality

To keep up with DevOps, testing and QA teams typically adopt a shift-up approach to move quality further up the software development lifecycle. The goal is to complete system testing, integration testing, and user acceptance testing (UAT) to ensure a bug-free release. While product quality has a direct correlation to.

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Ensuring Continuous Integration with Continuous Testing

The DevOps and Agile based culture of software development has led to faster builds, quick validation and delivery, instant feedback loops, cost savings, and holding onto the competitive edge. This culture has brought in components like Continuous Integration (CI) and Continuous Delivery (CD) to address the industry need for developing.

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The Pitfalls of Running A/B Tests

Many people who create digital products have probably heard of the term ‘Designing with Data’. It’s a very obvious practice, that suggests that making intuition-based decisions is not enough, and better decisions are usually supported by quantitative or qualitative evidence. (more…)

When Not To A/B Test

You might still want to introduce all listed changes as experiments. The reason for that would be to see if you’re creating any negative impact with the change. Perhaps, your increased contrast doesn’t work on some devices or in some browsers? Maybe you broke your cart completely when fixing that.

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