The Internet of Things (IoT) continues to be one of the fastest growing and most diverse technology sectors in the world with solutions including connected cars, smart electricity metering, smart homes, factory automation, and more.
Security has become a necessity in our day-to-day activities. Are we aware of how we can uncover these vulnerabilities? Do we understand the basic security tests that we run? Can we analyze and understand whether the threat found is a false positive or not? How can we make Static Application Security Testing and Dynamic Application Security Testing (DAST) work hand in hand for our benefit? How can we have DAST Automated with our dear Selenium? How can we apply DAST on Mobile Apps? How can we have DAST part of CI/CD pipeline?
The Predictive analysis carries to extract valuable information from the data sets with the help of the statistical algorithms and machine learning to forecast the trends and performance patterns. When it comes to software testing, predictive analytics makes everything clear about what to test and predict the quality issues before and after the production.
In the bustling Ad Tech industry, we are constantly presented with challenges. These range from segmenting browsers, targeting devices, users (consumers) and even environments. Ad presentation specifications are constantly changing, as new devices are always coming onto the market. Machine Learning model techniques are adopted to engage and know consumer preferences through ‘sentiment’ surveys or other polls. After performing automation on the newest (and oldest) mobile devices, a new connected TV device appears with unique challenges.
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.
Testing involves two types, one will be functional and the other is the non-functional testing. These types of testing are different – continue reading to learn about both of them.
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.
Now a days, customer experience plays the crucial role for both traditional and digital business. Customer experience is about knowing the customer so detail that organizations can deliver the personalized experiences with enhanced features and performance. This will not only satisfy them but also convince them to remain loyal and influence others. Though application’s speed, scalability, stability, and availability are not only parameters to measure the customer experience these are the most important factors for customer experience.