To better understand the state of automation, Perforce and Gatepoint Research surveyed an array of DevOps professionals across industries. Learn our latest insights on automated testing. See where you compare to your peers. And hear our recommendations for taking your testing to the next level — no matter where you’re at now.
With so many high-risk applications to test across constantly changing permutations, automation is the clear answer for today’s testing teams. But levels of automation and success vary.
Join us in this upcoming webinar, led by Chief Evangelist Eran Kinsbruner at Perfecto by Perforce. In this upcoming webinar, we’ll:
- Expose the average rate of test automation for web and mobile apps.
- Provide actionable insights and recommendations for app testing.
- Reveal the top testing concerns and priorities across the industry.
- And much 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.