SharePoint is a web application framework and platform developed by Microsoft. It integrates Intranet, content management and document management features. Efficient software testing of this platform requires some specific knowledge that will be discussed in this article with hints and tips.
Over the years, Rob Sabourin has drawn important testing lessons from diverse sources including the great detectives, the Simpsons, Hollywood movies, comic book superheroes, and the hospital delivery room. Now Rob scores big with breakaway testing ideas from hockey, Canada’s national sport. Like star hockey players, testers develop skills and continuously adapt and perfect them.
It is often said that “it’s always the baker’s children who have no bread”. In this very interesting article, Ed Glas explains how Microsoft manage the load testing efforts for its Visual Studio Online tool based on a Cloud architecture.
Agile testing and test automation are almost mandatory for projects that demand high quality as well as short release cycles like Scrum. It acts as a safety net in order to protect existing functionality against bugs resulting from unintended side-effects of recent changes. Software developers “in the trenches” often automate their tests but don’t practice strict Test-Driven Development (TDD).
Software testing starts when you write the code that will be tested. In these two articles, Shane Tomlinson discusses some anti-patterns that will make your JavaScript frontend code difficult to test. He explains how to detect these anti-patterns in your code and then shows how to refactor your JavaScript to be easier to read, to reuse and to test.
Facebook is released twice a day, and keeping up this pace is at the heart of its culture. With this release pace, automated testing with Selenium is crucial to making sure everything works before being released.
Big Data is a big topic in software development today. When it comes to practice, software testers may not yet fully understand what is exactly Big Data. A tester knows that you need a plan for testing it. Since most Big Data lacks a traditional structure, how does Big Data quality look like? And what the are most appropriate software testing tools? This article tries to answer these questions.
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