Why Remediation Needs to Be Visible
Remediation is often pitched as a black box, and that pitch should worry any architect who has to sign a go-live checklist for SAP S/4HANA Cloud. Code goes in, something comes out, and a vendor tells you it works. There is no break list to challenge, no retirement list to question and no log to show an auditor.
At 2isolutions US, an SAP partner delivering since 2005, we run SAP ABAP code remediation as a five-stage workflow where every stage produces a named artifact and every artifact has an owner. The stages are Scan, Triage, Rewrite, Review and Prove. This article walks through each one, shows what each stage hands over, explains where your architect signs off, and describes what we flag instead of guessing.
Most teams meet this problem during a migration. Years of custom reports, enhancements and interfaces sit in the system, and nobody knows which pieces will break on the new platform. A workflow gives you a sequence instead of a pile.
What Is the ABAP Remediation Workflow?
The ABAP remediation workflow is a five-stage process that finds custom code incompatible with SAP S/4HANA, sorts it by risk, rewrites what must change, reviews every change, and proves behaviour is unchanged. Each stage ends with a deliverable your team can inspect.
The five stages run in this order:
Scan the full repository for breaks.
Triage every object into breaking, degrading, compliant or dead.
Rewrite the code that needs to change.
Review each rewrite with an architect.
Prove behaviour with regression tests.
The order matters. Skipping triage means you rewrite code nobody uses. Skipping proof means you trust your own opinion over evidence. Each stage depends on the one before it, so a weak early stage weakens everything that follows.
Why a visible process beats a black box
A black box gives you a price and a date. A visible workflow gives you a break list, a retirement list, a rewrite set and a review log. You can challenge each one, and you can ask why an object landed in a particular category.
That openness also protects your architect. When an auditor asks why an object changed, the answer sits in a log, not in someone's memory. For a person who signs a go-live checklist, that difference is significant.
How Does the Scan Stage Find Every Break?
The scan stage analyses the entire custom code repository against the target SAP release and lists every object that will fail or behave differently. The artifact is a full-repository break analysis, covering all custom objects rather than a sample.
Sampling is the common shortcut, and it hides risk. A report that nobody remembers can still feed a month-end close. If the scan skips it, you learn about it in production, which is the most expensive place to learn anything.
The break analysis typically records:
Objects that will not activate or run on the target release
Statements that behave differently on HANA
Database access patterns that will slow down
Dependencies on obsolete tables or function modules
Where the architect signs off
The architect confirms scope at the end of the scan. That means agreeing which systems, packages and namespaces the analysis covered. If a package was left out, this is the cheapest moment to add it.
Sign-off here is short, but it matters. Every later number, from effort to retirement, builds on this scope. A gap at this point carries through the entire project.
What a scan misses without human input
Tools read code, but they cannot read intent. A scan will flag a custom function module that reads an obsolete table. However, it will not tell you that the module feeds a customer rebate calculation that the sales team relies on every quarter.
So we pair the tool output with a short workshop. Functional leads walk the flagged list and name the business process behind each cluster. That context changes priorities later, because a breaking object in a rebate run outranks a breaking object in a report nobody opens.
How Does Triage Sort Code Into Four Buckets?
Triage places every scanned object into one of four categories: breaking, degrading, compliant or dead. Breaking code fails on the new platform. Degrading code runs but slowly. Compliant code needs nothing. Dead code has no real usage and can go.
This is where budgets get saved. Dead code costs effort to rewrite and effort to test, yet it delivers nothing. Therefore, retiring it removes work from every later stage. The artifact from this stage is a categorised object list, with the retirement list clearly separated so that your team can review what is proposed for removal.
Each bucket drives a different decision:
Breaking objects go to the rewrite queue first, ordered by the business process they support.
Degrading objects are scheduled after breaking ones, since they still run.
Compliant objects are left alone, which keeps the project focused.
Dead objects are proposed for retirement and confirmed by the people who own the process.
The four-bucket model also keeps conversations concrete. Instead of debating whether a large code base is risky, your team looks at a list and decides what to do with each group. That is a far easier meeting to run, and it produces decisions rather than worry.
What Happens in the Rewrite and Review Stages?
Rewrite is the stage where code that must change is actually changed. The inputs are the breaking and degrading lists from triage, and the output is a rewrite set that your team can compare against the original. Because the earlier stages removed dead and compliant code, the rewrite effort concentrates on the objects that matter.
Review follows immediately. Each rewrite is checked with an architect, and the result is a review log. This is the record that answers the auditor's question about why an object changed. It also gives your architect a place to challenge a rewrite before it moves forward, rather than discovering a disagreement after testing has started.
This is also where we flag instead of guessing. When code intent is unclear, a guess can produce a change that compiles but alters business behaviour. A flag sends the question to the person who knows the process. It is slower for that one object, yet it protects the whole result.
How Does the Prove Stage Remove Doubt?
The final stage is proof. Behaviour is verified with regression tests, so that the rewritten code is shown to do what the original did. Without this step, the project rests on opinion. With it, the project rests on evidence your team can inspect.
This closes the loop that the visible workflow opens. You started with a break list. You end with test evidence tied to that list, and between the two sit the retirement list, the rewrite set and the review log. Every object has a path from first detection to verified behaviour, and every step has an owner.
For teams planning around SAP BTP alongside their core system, the same discipline applies to extensions. Code that moves into a side-by-side model still needs scoping, review and proof, and the workflow gives you a repeatable way to handle it.
Who Does This Work, and How Can Teams Resource It?
Remediation needs people who understand ABAP, HANA behaviour and the business processes behind custom code. Many organisations do not have that capacity free during a migration, because the same people are keeping production running. That is why some teams look at SAP Staff Augmentation to add experienced practitioners without pulling their own architects away from daily work.
Others focus on building internal strength. Structured SAP Skills development helps in-house developers learn the patterns that matter on the new platform, so that future custom code is written compliant from the start. The two approaches combine well: augmented capacity handles the migration peak, while skills development reduces the volume of remediation needed next time.
The workflow supports both models because the artifacts are portable. A break list, a retirement list and a review log mean the same thing no matter who produced them. If you want to see how an SAP partner structures this kind of delivery, you can learn more about 2isolutions US and the work we have done since 2005.
FAQ
Q: Why does triage come before the rewrite stage?
Triage separates breaking, degrading, compliant and dead code. Without it, you rewrite code nobody uses, which costs effort in both rewriting and testing and delivers nothing. Retiring dead code removes work from every later stage.
Q: Where does the architect sign off in the workflow?
The architect confirms scope at the end of the scan, agreeing which systems, packages and namespaces were covered. The architect also reviews each rewrite in the review stage, and the result is recorded in a review log that can answer later audit questions.
Q: Why is a scan not enough on its own?
Tools read code but cannot read intent. A scan can flag a function module reading an obsolete table without knowing it feeds a quarterly customer rebate calculation. A short workshop with functional leads supplies that business context and changes priorities.
Conclusion
The ABAP remediation workflow turns a black box into five inspectable stages: Scan, Triage, Rewrite, Review and Prove. Every stage produces a named artifact with an owner, and your architect signs off where it counts. The result is a go-live checklist backed by evidence rather than a vendor's assurance.
Ready to see what is hiding in your custom code before your move to SAP S/4HANA Cloud? Our team is here to walk you through the workflow and what each stage would hand your architects. Contact us at info@2isolutionsus.com to get started today.
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