SAP Custom Code Assessment: Transparent Assessment Method

Decision context

SAP custom code assessment is a critical step in preparing an SAP environment for upgrades, migrations, or transformations. It involves analyzing existing ABAP code to identify compatibility issues, unused components, and optimization opportunities. Effective assessment ensures that custom developments align with the target SAP release and reduces risks during change cycles.

Adranum’s governed SAP custom code assessment ingests multiple evidence sources such as ABAP code, DDIC metadata, ATC results, and process-event data to create a comprehensive readiness profile. It highlights unsupported or missing inputs and maps dependencies between code, data, and processes to inform remediation decisions.

Unlike traditional static analysis tools, Adranum supports keep, replace, remediate, or retire decisions with reviewable code proposals and generates implementation packages with traceable approvals. This approach integrates technical and process perspectives, enabling coordinated cutover and exact-state recovery for SAP change projects.

Integrating Diverse Evidence for Accurate Assessment

Adranum consolidates authorized SAP readiness data, ABAP Test Cockpit (ATC) findings, abapGit repositories, and data quality metrics to build a unified view of custom code health. This multi-source ingestion reduces blind spots and improves confidence in assessment results.

The system reports coverage gaps and unsupported inputs explicitly, ensuring that teams understand where manual validation or additional data collection is required. This transparency is essential for managing complex SAP landscapes with heterogeneous custom developments.

• Ingests ABAP code and DDIC metadata
• Includes ATC and abapGit evidence
• Incorporates process-event and data quality inputs

Mapping Dependencies and Impact Analysis

Understanding dependencies between custom code objects, data elements, and business processes is vital to avoid unintended disruptions. Adranum infers and observes these relationships to support impact analysis and risk assessment.

This mapping enables teams to identify which code segments affect critical processes or data, guiding prioritization of remediation efforts. It also supports simulation of change scenarios and bottleneck identification to optimize modernization strategies.

• Observed and inferred dependency graphs
• Process and data impact visualization
• Supports variant and bottleneck analysis

Governed Remediation and Code Proposal Generation

Adranum facilitates decision-making by categorizing custom code into keep, replace, remediate, or retire buckets. For remediation, it generates reviewable code and data proposals that customers can compile and test within their infrastructure.

This governance ensures that generated code is never automatically deployed without customer validation, preserving control and compliance. The system records human approvals and maintains audit trails for regulatory and operational transparency.

• Reviewable code and data proposals
• Decision support for remediation strategies
• Approval recording and audit trails

Packaging, Testing, and Cutover Coordination

Once remediation decisions are finalized, Adranum creates content-addressed implementation packages that include impacted tests and reconciliation evidence. This packaging supports controlled deployment and rollback capabilities.

The tool coordinates cutover activities, reconciliation processes, and continuity measures, enabling exact-state recovery if needed. This comprehensive orchestration reduces downtime and supports smooth SAP change execution.

• Content-addressed implementation packages
• Impacted test identification
• Cutover and reconciliation coordination

Customer-Controlled Data and Security Model

Adranum allows signed customer operators to retain raw service data, source code, and credentials within their own infrastructure. Only bounded commands, hashes, aggregate outcomes, and evidence are returned externally.

This model enhances security and compliance by minimizing data exposure and ensuring that sensitive SAP artifacts remain under customer control throughout the assessment and remediation lifecycle.

• Raw data remains on customer infrastructure
• Returns bounded commands and aggregate outcomes
• Supports compliance and data security requirements

What the workflow must cover

• Multi-Source Evidence Ingestion. Aggregates SAP readiness, ATC, ABAP, DDIC, abapGit, process-event, and data quality evidence to build a comprehensive assessment baseline.
• Dependency Mapping and Impact Visualization. Maps observed and inferred dependencies between code, data, and processes to support risk analysis and remediation prioritization.
• Governed Remediation Workflow. Supports keep, replace, remediate, and retire decisions with reviewable code proposals and records human approvals for auditability.
• Implementation Package Generation. Creates content-addressed packages including impacted tests and reconciliation evidence to enable controlled deployment and rollback.
• Cutover and Continuity Coordination. Orchestrates cutover, reconciliation, continuity, and exact-state recovery activities to minimize disruption during SAP change.
• Customer Data Sovereignty. Allows customers to keep raw service data and credentials within their infrastructure, returning only bounded commands and evidence externally.

Implementation workflow

Start with a bounded customer scenario and explicit acceptance criteria. Preserve native SAP permissions and accountable review while the software creates a repeatable evidence chain.

1. Collect authorized SAP readiness and ABAP code evidence including ATC and abapGit inputs.
2. Ingest and consolidate evidence to identify coverage gaps and unsupported inputs.
3. Map dependencies between custom code objects, data elements, and business processes.
4. Classify code into keep, replace, remediate, or retire categories based on assessment findings.
5. Generate reviewable code and data proposals for remediation candidates.
6. Record human approvals and create content-addressed implementation packages with impacted tests.
7. Coordinate cutover, reconciliation, continuity, and exact-state recovery during deployment.

Evidence to require

A transformation claim should resolve to observable artifacts, decisions, and execution receipts. Ask for the following evidence in a representative evaluation:

• Authorized SAP readiness reports
• ABAP Test Cockpit (ATC) results
• ABAP code and DDIC metadata
• abapGit repository snapshots
• Process-event logs and variant data
• Data quality metrics and reports
• Dependency graphs and impact analysis reports
• Reviewable code and data remediation proposals
• Implementation package receipts with test coverage
• Cutover and reconciliation evidence

Boundaries and non-claims

Adranum separates analysis, proposal, human review, package creation, customer-local validation, and production execution. A later state never rewrites the evidence that supported an earlier decision.

• Does not replace SAP licensing or Basis administration responsibilities.
• Generated code proposals require customer compilation and runtime validation.
• Does not provide comprehensive specialist testing for all SAP modules.
• Missing or unsupported inputs remain visible and require manual resolution.

Public comparison sources

Competitor statements are limited to current public materials. Verify them during procurement because products and packaging change.

• Performing a Custom Code Analysis
• SAP Custom Code Analysis
• Master SAP Custom Code: Best Practices for Success
• Solution Brief: SAP Custom Code Analysis
• What is SAP Custom Code Analysis? Definition, Process & ...

Buyer checklist

• What SAP readiness and ABAP evidence sources are required for assessment?
• How does the tool handle unsupported or missing inputs?
• Can remediation code proposals be customized before deployment?
• How are dependencies between code and processes visualized?
• What audit and approval mechanisms are included?
• How does the tool support cutover and rollback coordination?
• Where is customer data stored during assessment?
• What integration options exist with existing SAP transport and testing tools?