pytest-benchmark

The web paradigm has changed considerably over the last few years. Web 2.0, a term coined way back in 1999, was one of the pivotal moments in the history of the Internet. UGC (User Generated Content), ease of use, and interoperability for the end-users were the key pillars of Web 2.0. Consumers who were only consuming content up till now started creating different forms of content (e.g., text, audio, video, etc.).

People love to watch, read and interact with quality content — especially video content. Whether it is sports, news, TV shows, or videos captured on smartphones, people crave digital content. The emergence of OTT platforms has already shaped the way people consume content. Viewers can now enjoy their favorite shows whenever they want rather than at pre-set times. Thus, the OTT platform’s concept of viewing anything, anytime, anywhere has hit the right chord.

There is just one area where each member of the software testing community has a distinct point of view! Metrics! This contentious issue sparks intense disputes, and most conversations finish with no definitive conclusion. It covers a wide range of topics: How can testing efforts be measured? What is the most effective technique to assess effectiveness? Which of the many components should be quantified? How can we measure the quality of our testing performance, among other things?