Pre-5 :  Analyzing and Reporting Performance Test Data Visually
Monday, 9:00am - 4:00pm

 
Track:

Performance Testing frequently generates very large volumes of data. That data usually requires significant analysis before findings are made and recommendations are delivered. To make matters more complex, even though there is a large volume of data, there are typically an insignificant number of tests conducted for most data reduction methods to be statistically valid. Finally, many of the statistical methods that are frequently used are either mis-used or mis-understood.

This hands on workshop is targeted for those leading performance test data analysis and reporting.  It focuses on how to make sense out of large volumes of interrelated data to improve findings, and recommendations to help achieve business objectives, reduce project risk, and avoid bad press. Further, it teaches methods for visually reporting results of performance tests that are less prone to misinterpretation than reporting complex statistics the audience is unlikely to understand. Finally, this workshop provides you with the knowledge you need to use statistics correctly to help you understand the data.  Bring your laptop with your favorite data analysis tools and be prepared to apply the skills you bring to class and the ones you learn using publicly available data sets that you can use for future self-education and/or training others in your organization.

Scott Barber

CTO, PerfTestPlus, Inc.

Scott Barber is the Chief Technologist of PerfTestPlus, Co-Founder of the Workshop on Performance and Reliability, and co-author of Performance Testing Guidance for Web Applications, Beautiful Testing, and Reducing the Cost of Testing (July 2011). Scott thinks of himself as a tester and trainer of testers who has a passion for software system performance.