Faster software delivery through approaches like DevOps or Continuous Delivery impacts software testing practices. This article summarizes the steps that software testing teams can undertake in order to adapt to the fast development process in projects with Continuous Integration/Continuous Delivery (CI/CD).
As DevOps accelerates the deployment of code from the development to the production environments, this influences the execution of the software testing activity that should assess the quality of this code. How do we integrate software testing into DevOps? Does DevOps mean the end of testing? Luz Parra provides some answers these questions.
The Accelerate State of DevOps Report is the largest and longest running DevOps research. It represents five years of work surveying over 30,000 technical professionals worldwide. Nearly 1,900 professionals worldwide participated in the 2018 study that reflects an increasing diversity and the importance of continuous software testing.
Users care as much about how your service performs as they do what job it helps them accomplish. This is why performance is imperative and performance testing a must. So why do we still see so many 503 errors and slow apps? The answer is empathy, a lack thereof. Performance is the most tangible element of “non-functional” quality criteria we regularly ignore until it’s too late.
DevOps is based on continuous delivery and anything that breaks the continuity is a bottleneck. While Agile and DevOps have become common terms in Development and Testing organizations, manual build and deployment processes are still causing problems along with integration and testing.
DevOps is currently a trendy approach in software development. The DevOps world mixes the Development and the Operation concepts, but where does software testing find its place in this new approach? This is the topic of the book “Practical Guide to Testing in DevOps” by Katrina Clokie.
In the days of DevOps supported by approaches like continuous deployment, the concepts of continuous testing and test automation are essential to support the speed needed for delivering quickly solutions (and hopefully value) to the users. Some of the big questions in the software testing community are “How much should we automate our tests?” and “What tests should we run?”. The technique of Test Impact Analysis helps to answer to this question.