Software testing white papers
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.
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?
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).
It is difficult to maintain and evolve software systems and applications without some automated testing tools that help you making sure the changes are not breaking the existing features. This white paper from Indium Software presents you the best regression testing tools available in 2019.
In today’s hyper-competitive, digital age, organizations worldwide need to be able to push code to production and launch new website features and content faster than ever without compromising quality. To address this need, continuous testing has become a critical part of the application development and delivery process.
Retail is one of the industries the most impacted with the digital transformation. A retailer reputation is at risk if the consumer has a bad experience either in a store or in front of an e-commerce website. Software quality assurance and software testing are important activities to prevent issues. This article discusses some main challenges of test automation in the retail industry.
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.
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