Jupyter Notebooks are a popular and powerful tool used in data science that allows you to create and share documents that blend descriptive content with executable code. This blending of code and content can also be a powerful tool for empowering testers through automation.
Automated Accessibility Testing: Leveraging Artificial Intelligence to Drive Accessible Digital Experiences
The World Bank estimates that around 15% of the world’s population experiences some form of disability. That is a staggering 1 billion people who can be struggling to use your website if it is not accessible. There are legal implications to that, too. In the U.S., web accessibility lawsuits hit all-time highs last year. Artificial intelligence has long been used to create better, personalized user experiences (hey, Netflix). But now automation testing companies are also looking for ways to leverage the tech and address accessibility challenges better. Web Content Accessibility Guidelines (WCAG)
The objective of this presentation will be to make the audience aware of the challenges, as well as, what they can do on a day-to-day basis to avoid these issues. Manoj will be sharing various do’s and do not’s with the audience which can be implemented from day 1.
JoEllen not only introduces the core practices in each thread; she also describes how Olo rolled the practices out to 14 different teams and how they adapted the approach collaboratively with the team. She’ll provide an overview of the WTQ bootcamps, strategy workshops, and quarterly retros, which respectively introduce the approach, provide practice in new skills, and adapt working agreements for each team. It’s WTQ-in-a-box for teams who are experiencing growth and struggling to articulate a cohesive strategy.
Andrew Knight shows you how to start testing with Python and targets anyone who wants to dive head-first into learning everything Python.
Webinar Recorded 09/09/20: This talk will answer why BDD is the right methodology and what does the process look like, in which Christine will share the preparation, major milestones, successes, and failures encountered along the way.
Software Craftsmanship is a practice of continuous development and helping others learn this craft. As the world is evolving towards the era of scripting language, Khyati will be sharing our experience of how we have grown as a team of all QA with programming language background to the niche typescript world contributor.
Today’s complex technology landscape makes it progressively more difficult to deliver products with frictionless experiences that meet the evolving interoperability demands of your customers. Engineering teams are under enormous pressure to discover defects, user experience issues, critical feature gaps, and in-the-wild interoperability problems before releasing a product.
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?
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.
When testing software, it is not uncommon to hear that one hundred percent coverage is unachievable. What happens, then when we are asked to do such a thing. If the software that is being tested is used in critical infrastructure (power systems, water, medical, banking, etc.) then an escaped bug is not a trivial thing.
Shopping for new tools is not unlike dating. You need to ask yourself the same questions: “What am I looking for?” “Do they fit in with the picture I have for my future?” “Will it get along with my friends colleagues?” On top of that, the testing tool landscape has changed so much in just the past few years. What expectations should you have? Where do you even go to “meet” these tools?