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Lesson 4 of 5

The living regression pack

8 min

A regression pack is the set of tests you rerun to prove that what worked before still works. At go-live it is usually a good reflection of the process, because it was built from the same designs and test cycles. Six months later it often is not. Processes changed, new scope arrived, old steps were dropped, and the tests were not updated. A stale regression pack is worse than a small one: it gives confidence that is not earned.

The process owner does not have to write the tests. The owner does have to make sure the pack still describes the process the business actually runs. That is the "living" part.

What a good pack looks like

  • Built from process scenarios, not transactions. "Order to cash for a fleet customer with a partial delivery" tests what matters. "Run VA01" does not.
  • Risk-ranked. Each scenario has a criticality (for example, critical, high, standard) so a short regression window can run the critical set first.
  • Traceable. Each scenario links to the process step, the scope item or design it covers and the owner who approves changes to it.
  • Data-ready. Each scenario lists the master data it needs in the test client (customer Great Lakes Fleet Services, product CMC-ALT-100, plant 1710) and how that data is refreshed.
  • Evidence-defined. Each scenario says what proof a pass needs, such as a document number and the expected journal entry.
  • Lean. Every test earns its place. Duplicates and tests for retired steps are removed.

The maintenance loop

  1. Change arrivesSAP release item, enhancement, configuration change or new scope
  2. Impact mappedImpact assessment tags the scenarios it affects
  3. Update or addChange the steps and expected results; add scenarios for new behavior
  4. RetireRemove tests for steps that no longer exist or are fully covered elsewhere
  5. ReviewProcess owner approves the change to the pack, just as for the process design
  6. Run and baselineExecute in the next cycle; the passed run becomes the new baseline
Every change to the process is also a change to the regression pack.
The Sign-Off Table · thesignofftable.com/academy/sap-pow-304

The approval step is the one teams skip. If testers update the expected results without the process owner seeing them, the pack can quietly drift toward "whatever the system does now." That is exactly the mistake a regression pack exists to catch.

High, stableRun every release. Example: post a billing document and check its revenue journal entry.
CriticalRun first in every window. Example: supplier payment run and bank file.
StandardRun when the area is touched. Example: display-only reports.
Watch listRun when the area is touched and review often. Example: a newly adopted app still being adjusted.
Setting scenario criticality from business impact and how often the step changes.
The Sign-Off Table · thesignofftable.com/academy/sap-pow-304

Retiring tests

Retiring tests is uncomfortable because it feels like reducing coverage. Do it anyway. Contoso's order-to-cash pack had grown to 140 scenarios after go-live, including 22 that tested a credit-hold workaround the business stopped using and 15 near-duplicates created by different testers. Removing them cut regression time by a quarter without losing any coverage of the live process. A lean pack gets run in full; a bloated one gets sampled, and sampling is where defects slip through.

SignalWhat it usually meansAction
Test always passes and covers a step nobody usesObsoleteRetire after owner confirms the step is gone
Two tests with the same steps and dataDuplicateMerge into one
Test fails every cycle and is "known"Stale expected result or unresolved defectFix the test or fix the defect; never leave it red
Process step with no testCoverage gapAdd a scenario sized to the step's risk

Pack health signals to review at least once per release.

EvidenceWhat proves a pass: document numbers, journal entry, output, message
Expected resultsAccounts, amounts, statuses and outputs the business expects, approved by the owner
StepsThe business steps, in the order users perform them
Test dataCustomer, product, plant and prices needed, and how they are refreshed
IdentityID, process step covered, criticality and owner
Anatomy of a regression scenario, from the bottom up.
The Sign-Off Table · thesignofftable.com/academy/sap-pow-304

Where the tests are automated, the same rules apply to the automated scripts. SAP's own tools can help here: in Public Edition, the Test Automation Tool provides predelivered test processes you can adapt and run from SAP Cloud ALM, and SAP Cloud ALM can hold test cases and their results for both editions. The tool is not the point. Ownership of what the tests prove is.

A rhythm for pack reviews

Make pack maintenance a standing step in every release, not a project once a year. Contoso's rule is simple: no change request is closed until its regression impact is recorded (scenario updated, scenario added, or "no regression impact" with the owner's initials). Once a year, at the calendar planning session, each process owner reviews pack health for their area: scenarios run, retired, added, and any steps without coverage. That annual review takes about an hour per process when the per-release discipline has been kept.

What would you do?

After a feature pack, Priya reports that regression scenario O2C-07 fails: the sales order screen now proposes a different default delivery priority. A tester has offered to "just update the expected result." What should Maria, as key user, and the order-to-cash process owner do?

Key points
  • A stale regression pack gives confidence that has not been earned.
  • Build the pack from risk-ranked process scenarios with data and evidence defined.
  • Every process change updates the pack, and the process owner approves those updates.
  • Retire obsolete and duplicate tests so the pack stays lean enough to run in full.
  • Never change an expected result just to make a test pass.

Check your understanding · not graded

Lesson check

  1. 1. Why is a stale regression pack dangerous?

  2. 2. Who should approve a change to a regression scenario's expected result?

  3. 3. What is the main benefit of retiring obsolete tests?

  4. 4. A process step has no test covering it. What is this?