SAP Custom Code Analysis: Governed Evaluation Guide

Decision context

SAP custom code analysis is a critical step in preparing for SAP ERP modernization, especially when migrating to SAP S/4HANA or upgrading existing SAP NetWeaver systems. It involves systematically examining custom ABAP code to identify compatibility issues, performance bottlenecks, and obsolete constructs that could impact system stability and upgrade success.

The analysis process typically leverages SAP’s ABAP Test Cockpit (ATC), SAP-provided code inspectors, and third-party tools to ingest source code and related metadata. This enables detection of unsupported statements, deprecated APIs, and potential runtime errors under the target SAP platform. Effective analysis also maps dependencies and usage patterns to prioritize remediation efforts.

A robust SAP custom code analysis goes beyond static checks by incorporating process and data quality evidence, simulating code behavior, and proposing targeted remediation or retirement. This ensures that modernization efforts maintain business continuity and reduce technical debt while aligning with SAP’s evolving standards.

Key Components of SAP Custom Code Analysis

Custom code analysis for SAP ERP modernization encompasses multiple data sources and evidence types. These include ABAP source code, dictionary objects (DDIC), ATC scan results, and version control metadata such as abapGit repositories. Collecting this evidence provides a comprehensive view of code health and readiness.

Dependency mapping is essential to understand how custom code interacts with SAP standard objects and other custom developments. This aids in impact analysis and decision-making regarding code keep, replace, remediate, or retire strategies.

Process-event and requirement evidence link code artifacts to business processes and functional requirements, enabling prioritization based on business impact. Data quality assessments further inform the remediation scope by highlighting critical data dependencies and potential reconciliation needs.

• Ingest ABAP source, DDIC, and ATC scan evidence
• Map observed and inferred code dependencies
• Integrate process-event and requirement traceability
• Assess data quality and connector stability
• Generate remediation and retirement proposals

Analyzing and Reporting Coverage and Unsupported Inputs

A fundamental output of SAP custom code analysis is the coverage report, which shows the extent to which code has been scanned and assessed. This report highlights unsupported or missing inputs that require manual review or additional data collection.

Unsupported inputs often arise from proprietary extensions, external interfaces, or incomplete metadata. Identifying these gaps early prevents surprises during compilation or runtime in the target SAP environment.

The analysis tool should provide transparent visibility into these unsupported areas, enabling SAP teams to plan targeted investigations, gather missing evidence, or adjust remediation strategies accordingly.

• Generate detailed coverage reports with scan statistics
• Identify and flag unsupported or missing inputs
• Provide traceability for manual review and follow-up
• Support iterative evidence collection and analysis refinement

Decision Framework: Keep, Replace, Remediate, or Retire

Post-analysis, SAP teams must decide the fate of each custom code artifact. The four primary options are to keep as-is, replace with standard SAP functionality, remediate code to meet new platform standards, or retire unused or obsolete code.

This decision framework relies on evidence from code analysis, business process alignment, and data quality assessments. For example, code with high usage and no standard alternative may be remediated, whereas rarely used or redundant code may be retired.

Adranum supports recording these decisions with human approvals and links them to implementation proposals, ensuring transparent governance and auditability throughout the modernization lifecycle.

• Evaluate code usage and business relevance
• Compare with available SAP standard features
• Assess remediation complexity and risk
• Document decisions with approvals and rationale

Generating Reviewable Code and Data Proposals

Based on analysis findings and decisions, remediation proposals are generated as reviewable code changes and data adjustments. These proposals are not final until customer-controlled compilation and runtime validations succeed.

The proposals include code refactorings, API replacements, and data reconciliation scripts aligned with SAP modernization best practices. They are packaged with impacted test cases to facilitate regression testing and quality assurance.

This approach enables SAP teams to iteratively refine remediation efforts, maintain traceability, and ensure alignment with business requirements and technical standards.

• Produce code change proposals for review
• Include impacted test cases for validation
• Package data reconciliation and migration scripts
• Enable iterative refinement and approval workflows

Coordinating Cutover, Reconciliation, and Recovery

SAP custom code analysis is part of a broader modernization workflow that includes cutover planning, data reconciliation, and exact-state recovery capabilities. These ensure smooth transition from legacy to modern SAP environments.

Cutover coordination manages timing and sequencing of code deployment and data migration to minimize downtime and business disruption.

Reconciliation evidence verifies data consistency post-migration, while exact-state recovery supports rollback or re-synchronization in case of issues, preserving system integrity and continuity.

• Plan cutover sequencing and timing
• Generate reconciliation evidence and reports
• Support exact-state recovery and rollback
• Coordinate impacted test execution and approvals

What the workflow must cover

• Multi-Source Evidence Ingestion. Adranum ingests authorized SAP readiness data, ABAP source, DDIC metadata, ATC results, and version control inputs to provide a comprehensive analysis foundation.
• Dependency Mapping and Impact Analysis. It maps observed and inferred dependencies between custom and standard SAP objects to inform remediation decisions and risk assessments.
• Decision Management and Approval Recording. The software supports keep, replace, remediate, and retire decisions with recorded human approvals for governance and audit trails.
• Proposal Generation and Packaging. Adranum creates reviewable code and data proposals, packages implementation content-addressed bundles, and associates impacted tests for regression validation.
• Cutover and Reconciliation Coordination. It coordinates cutover activities, data reconciliation, and exact-state recovery processes to ensure smooth SAP modernization transitions.
• Process Variant and Bottleneck Analysis. The platform analyzes observed process variants and bottlenecks, simulates immutable scenarios, and tracks improvement history for continuous optimization.

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 ABAP source code, DDIC, ATC, and version control evidence from SAP landscapes
2. Ingest and normalize evidence into the analysis platform
3. Perform automated scans to detect unsupported code and compatibility issues
4. Map dependencies and link code to business processes and requirements
5. Generate coverage and unsupported input reports for review
6. Decide on keep, replace, remediate, or retire actions with stakeholder approvals
7. Produce reviewable remediation proposals and package implementation bundles

Evidence to require

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

• ABAP source code snapshots and version history
• DDIC metadata and dictionary object definitions
• ATC scan results and code inspector reports
• abapGit repository commits and branches
• Process-event and requirement traceability logs
• Data quality assessment reports
• Dependency graphs and impact matrices
• Remediation decision records with approvals
• Code and data change proposals
• Cutover and reconciliation evidence logs

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
• Unsupported inputs may require manual investigation and additional data collection
• Not a substitute for specialist SAP testing tools in all scenarios

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
• S/4HANA Custom Code Impact Analysis Using ATC
• SAP Custom Code Analysis
• Running the Custom Code Analyzer
• Custom Code Analysis for SAP S/4HANA Made Easy

Buyer checklist

• What SAP code analysis tools and evidence sources are supported?
• How does the tool handle unsupported or proprietary code segments?
• Can the analysis map code dependencies to business processes?
• How are remediation decisions documented and approved?
• Does the platform generate executable remediation proposals?
• What reconciliation and recovery features are included?
• How is data quality integrated into the analysis?
• What are the limitations regarding SAP certification or production readiness?