Since managing performance and assuring it is acceptable is not a trivial task neither just a matter of running load, the webinar will go through all of the possible routes an organization should become familiar to achieve great performance.
Sure, machine learning is nothing new. And artificial intelligence is nothing new. However, when we are starting to leverage these not-so-new “intelligence” tools in our work as test engineers, that is quite new. This webinar gives some advice based on some research over the last 2 years of burgeoning ideas about how we are going to conduct performance testing and engineering work with AI and ML.
What’s interesting is, if you make just a small modification in how you work today will have a dramatic, positive impact on software performance in your organization. Join us for this webinar on Performance Engineering and ask James Pulley your performance questions.
This webinar will give attendees an overview of the significant test strategies in use by testers in various industries and business domains around the world. We’ll examine: analytical strategies (where testers analyze requirements or risks to identify the test conditions to cover); model-based strategies (where testers develop a model of the environment in which the system exists, the inputs and conditions to which the system is subjected, and how the system should behave); methodical strategies (where testers use a predetermined set of test conditions, such as a quality standard or set of heuristics); process-compliant strategies (where testers follow a set of processes defined by others, such as Agile testing); reactive strategies (where testers react to the actual system under test rather than trying to pre-plan the testing); and, other strategies in common use.