If you perform software testing as a software quality assurance (QA) engineer, you have to deal with many documents that are not all produced during your activities. This article discusses the software testing documentation that is important for software QA engineers, like the product requirements document or the user guide.
QuAck is a web-based open-source test management tool that can store test cases and test suites and execute them. It is based on a pluggable architecture that allows implementation of custom authentication providers, integration with tracking and test executing systems. This article presents the key features of QuAck.
Hardware-as-a-service (HaaS) allow using distinct hardware components through the Internet analogously to the cloud services. This article discusses the differences of the testing approaches that could be used to test hardware compared to software.
Every test suite has them: a few tests that usually pass but sometimes mysteriously fail when run on the same code. Since they can’t be reliably replicated, they can be difficult to fix. The good news for software testing is that there is a set of usual suspects that cause these issues: test order, async code, time, sorting and randomness.
Since the start of software development, we have always had to test our software. And over the course of several decades, the discipline of software testing has seen many best practices and patterns developed. Unfortunately however, not all practices have been good and there are also anti-patterns in software testing.
Your team has some test data. Let’s say you loaded in a backup form production a few months ago. Your QA specialists are familiar with the data, but your software developers hate it. They keep telling you, “It is not the right data,” or, “It is not very useful for testing.” You let them write and automate some tests, but it is not enough.
Good test data management is one of the best practices of successful software quality assurance, especially when you perform integration and functional testing for large systems. In this article, Christian Meléndez discusses important topics associated to test data management like how much data do you really need, how to deal with data privacy concerns, test data as self-service and test data generation.
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