STARWEST 2018 - Industry Technical Presentations

• What is Accessibility and why is it important to my role on an Agile dev team?
• How does test automation work with accessibility?
• How can teams prevent issues before testing begins?

A new Forrester research project surveyed over 600 organizations to determine what matters the most for DevOps and Agile success. The research discovered high-level findings like:
1) They are transforming software testing into continuous testing by adopting five core practices.
2) Experts focus primarily on contextual metrics (e.g., requirements coverage) while others focus on “counting” metrics (e.g., number of tests).
3) Experts are more likely to measure the user experience across an end-to-end transaction while others rely on application-specific or team-specific...

● Current challenges of test automation
● How to leverage AI to overcome software quality pitfalls
● The future of test automation and how to prepare for it

1. Frameworks: Open source, commercial or a combination? Learn the pros and cons, and determine which test framework is right for you
2. Test Automation: Get a how-to guide for deciding which tests to automate and when to run them
3. Coding: Learn best practices for developing test automation code the right way to save time and reduce flakiness
4. Measurement: Identify KPIs that matter
5. Fast Feedback: Ensure the best possible mean time to resolution (MTTR)

You may have been told “we need to automate all our test scripts” or “we need to test faster, so let’s automate our tests”, but automating only tests likely will not improve your quality or time to market. Applications are continuing to become more and more complex, with integrations to back-end mainframe systems all the way to mobile devices, and everything in between. With this additional complexity, delivering high-quality applications in a timely manner is difficult.

We share how looking at your delivery pipeline to determine where improvements can be made is necessary for...

• Customer experience monitoring can provide insights on how real users are using a software process and whether the system is meeting its business goals.
• Software can be tested in terms of customer experience, rather than the traditional view of functional, performance or other forms of testing.
• Customer experience insights can be used to link the world of customer analytics back to the development process — to provide a tangible improvement in code which can have a measurable business improvement benefit.

You will learn how to:
· Simplify the process of building comprehensive API test scenarios by leveraging artificial intelligence
· Use machine learning to make your test automation tool better every day
· Instantly aggregate code changes with coverage gaps to quickly pinpoint the impact of code changes

• How ML can be applied to test automation maintenance
• Leveraging manual testers’ knowledge by using codeless Selenium
• Real examples of ML algorithms implementation & statistics
• Q&A session

• The pitfalls organizations typically encounter as they deploy test automation
• A practical approach to scale your test automation initiative
• Specific examples/case study where this approach has been implemented

We know - you’re sick of hearing about AI - but what if you could harness it to plot a new course for your career? Get yourself a raise and promotion? Have recruiters calling you with attractive new job opportunities? Visual AI is here. It’s not a vision for the future. It’s not science fiction. It’s a technology allowing manual testers to plot a new career path for themselves.

It’s time for manual testers to step out from the back room and into the limelight. A new professional career track is yours for the taking.

Join this session to learn:
(i) Evolution of...