As we close 2019, it’s not simply the end of a year; it’s the end of an entire decade. And a lot has changed in the past 10 years.
The decade saw the meteoric rise of iOS and a mobile-first focus. Other noteworthy trends include Android over Java and Symbian, IoT, AR, VR, 5G, NFC, chatbots, and audio assistants. The past decade was also marked by the transition to Agile and DevOps over waterfall methodology, which fundamentally changed the software development tools, processes, and skillsets required of practitioners.
Join industry experts, Eran Kinsbruner, and Tariq King, in this live webinar. They will review the past decade, and more importantly draw predictions for the next one — including practices in DevOps and continuous testing, the use of AI and ML in testing, the future of web and mobile testing, and more.
Chief Evangelist, Perfecto
Eran Kinsbruner is the chief evangelist and author at Perfecto, a Perforce company. He authored two books, The Digital Quality Handbook and Continuous Testing for DevOps Professionals. Eran is also a monthly columnist at InfoWorld.com and The Enterprisers Project. Eran is a software engineering professional with nearly twenty years of experience at companies such as Matrix, Sun Microsystems, General Electric, Texas Instruments, and NeuStar. He holds various industry certifications from ISTQB, CMMI, and others. Eran is a recognized mobile testing influencer and thought leader, as well as an experienced speaker in the major software engineering conferences.
Founder and CEO, Selftest IO
Tariq King is the founder and CEO of Selftest IO, a company on a mission to develop the next-generation of systems and services with intrinsic self-testing properties. Tariq has over fifteen years' experience in software testing research and practice, and has formerly held positions a test architect, engineering manager, director, and head of quality. Tariq holds Ph.D. and M.S. degrees in Computer Science from Florida International University (FIU). His areas of research are software testing, artificial intelligence, autonomic and cloud computing, model-driven engineering, and computer science education.