The TestContainers library facilitates simple start up of a service dependencies, i.e. Postgres, Redis in throwaway Docker containers. This open source library works over Docker API and has a list of features which significantly improve a software developer experience.
After having worked as a software tester, an agile coach and a programmer, I have seen and experienced software development from different perspectives. One of the things that has stuck with me the most is how limited our view of software quality is. While we struggle with our unit tests or test cases, we are missing out on some fundamental factors which affect software quality.
Agile approaches aims to improve the collaboration between the development team and the end-users or the Product Owner in Scrum. As far as software testing is concerned, it is however deceptive to believe that this could happen without a strong contribution from software testing experts.
We all know that test automation is a must if you hope to perform software testing on a large e-commerce project. However, there is more than one way to write tests for your software, and each has its own pros and cons.
Artificial Intelligence (AI) and Machine Learning technologies are slowly finding a place in many aspects of digital organizations. In this article, Stella Murugesan explains to us what their impact on software testing could be. Automatic test cases creation anyone?
The first part of this article presented some of the current challenges of performance testing. It discussed also the data and times pillar of performance testing. This second part covers the resource and cost aspects. The author shares some final thoughts on the future of performance testing.
Are your full stack acceptance tests slow, non-deterministic and hard to maintain? You’re not alone. Imagine running hundreds of them in a few seconds, giving the same result every time. How do you think a feedback loop that fast would that affect your team’s productivity?
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