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.
Software Testing Articles: Load Testing, Unit Testing, Functional Testing
Most of the time, software testing is based on comparing the actual behavior of a code or a system with its expected behavior. In his article “The Challenges of Testing in a Non-Deterministic World”, Donald Firesmith explains however that not all software and systems are deterministic, for instance an autonomous adaptive vehicle that uses machine learning software, and that software testing needs to adapt to this context.
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.
There are still many people questioning the value of unit testing, and even more for the Test-Driven Development (TDD) approach. In this article, Krzysztof Jelski shares with us five metrics that should improve with the adoption of this agile practice for software development and testing.
Approval Testing is an approach to software testing that focuses on capturing and storing the behavior of your application, presenting the changes in behavior and allowing the software development team to react to them.
Software testing doesn’t stop when your website is live and monitoring your website uptime or response time is a key aspect of software quality assurance. If your website is slow or down, it means you are losing clients: with no access to your pages, how are they supposed to use your services and contact you?
As Artificial Intelligence (AI) is gaining wide acceptance in the software development world, the question is open on how you should apply software testing practices to this type of software. Based on a true story, Anna Royzman explains that you need to carefully design your test strategy… and not only for AI software.