Combinatorial Test Optimization
There is a lot of focus on HOW testing is done (DevOps, Agile, Exploratory vs Scripted, Automated Execution vs. Manual Execution etc.) and WHERE testing is done (US vs. Offshore). There is not enough attention given to WHAT SCENARIOS get tested and which potential scenarios do not get selected. This presentation is about the advantages and limitations of using Design of Experiments-based test optimization methods.
What is it?
How is it different than "Traditional Risk-Based Testing” methods?
Why does it matter?
What advantages / benefits can it deliver?
Achieving more coverage while using fewer tests seems counter-intuitive; how is it possible to achieve both at once?
Where is it applicable?
What are limitations to adopting test optimization approaches?
Case Studies; what good (and bad) experiences have various teams had?
What are some practical suggestions for starting to use Combinatorial Test Optimization methods?
Our guest speaker is Justin Hunter!
Justin Hunter is founder and CEO of Hexawise, and is a leading expert in combinatorial test design methods. An author, blogger, conference speaker, and instructor, he has co-authored pragmatic software testing books, technical combinatorial test design articles, informative pairwise testing blog posts, and accessible test optimization presentations. Justin can be reached at [masked] and on LinkedIn.