What is your regression cycle
actually costing you?
Six numbers you already know. It works out what a year of regression costs you in effort, how many complete passes fit before your next date, and how much of the pass is still executed by hand. Nothing is sent to us unless you ask for the written version.
Your own numbers, and nothing added.
There is no projected saving anywhere in this, and no multiplier. Every figure below is arithmetic on what you typed.
Person-days a year on regression
Cycle length × people on it × complete regressions a year. Your own numbers, nothing added.
Person-days in one cycle
What one complete pass costs in effort, before anything is fixed.
Complete passes that fit before your date
Working days remaining divided by cycle length — back to back, with no time between them to fix what a pass finds.
Scenario runs executed by hand a year
Scenarios not automated, run again every cycle. This is the number that does not fall on its own.
Automated execution time for one pass
The same scenarios, executed by a machine at three minutes each, unattended and overnight if you want. Execution only — building the suite, maintaining it, triaging failures, preparing test data and waiting for environments are all still people’s time. Measured on our own Tricentis TTA delivery: one end-to-end scenario spanning five transactions, three minutes at the maximum.
Nobody can tell you that from six numbers.
You will find plenty of pages saying automation makes SAP regression four or five times faster. None of them know your landscape, your test data, or how much of your cycle is waiting rather than executing. We are not going to add another one.
What we can tell you is what we have measured on our own delivery, and what your own arithmetic already says. If the two together make the case, it is a case that survives being checked.
How we build SAP test automation → The go-live readiness check →