SAP Dependency Analysis: Governed Evaluation Guide

Decision context

SAP dependency analysis is critical for understanding the complex web of relationships among SAP objects, processes, and data that underpin ERP modernization efforts. Effective dependency analysis enables organizations to identify impacts of proposed changes, optimize remediation strategies, and reduce risk during SAP upgrades or transformations.

Modern SAP landscapes include numerous interrelated components such as ABAP code, DDIC objects, process events, and data connectors. Dependency analysis tools must ingest diverse evidence sources, including SAP readiness checks, ATC results, abapGit repositories, and process event logs, to create a comprehensive dependency map that supports informed decision-making.

Adranum’s SAP dependency analysis capability focuses on ingesting authorized evidence and mapping both observed and inferred dependencies. This approach supports keep, replace, remediate, or retire decisions while generating reviewable proposals and implementation packages that align with governance and operational continuity requirements.

Understanding SAP Dependency Analysis

SAP dependency analysis involves systematically identifying and documenting the relationships between SAP objects such as ABAP programs, DDIC elements, and process events. This analysis helps reveal hidden impacts of changes, enabling more accurate risk assessments and planning.

Dependency analysis must integrate multiple data sources and evidence types to provide a holistic view. These include static code analysis from ATC, transport dependencies, data quality reports, and process event observations. Combining these inputs ensures that both explicit and implicit dependencies are captured.

• Integration of ABAP, DDIC, and process-event dependencies
• Use of static and dynamic evidence sources
• Mapping inferred dependencies beyond direct references

Role in ERP Modernization and SAP Change Governance

Dependency analysis is foundational for SAP ERP modernization projects, where understanding what to keep, replace, remediate, or retire is essential. Accurate dependency maps reduce the risk of unintended side effects during upgrades or code refactoring.

Governed SAP change requires traceability and approval workflows. Dependency analysis tools must support generating reviewable proposals and recording human approvals to ensure compliance and audit readiness.

Adranum’s solution supports content-addressed implementation packages and impacted test generation, enabling coordinated cutover and exact-state recovery aligned with dependency insights.

• Supports keep/replace/remediate/retire decisions
• Generates reviewable code and data proposals
• Coordinates cutover, reconciliation, and continuity

Technical Capabilities of SAP Dependency Analysis Tools

Effective dependency analysis tools ingest diverse evidence such as SAP readiness checks, ATC results, abapGit repositories, and connector data. They report coverage gaps and unsupported inputs to highlight analysis completeness.

Mapping both observed and inferred dependencies is essential to capture indirect relationships that may affect change impact. Tools should also support simulation of change variants and bottleneck identification to optimize remediation strategies.

Adranum uniquely enables customers to retain raw service data and credentials within their infrastructure while returning bounded commands and aggregate outcomes, enhancing security and control.

• Ingests multiple authorized SAP evidence types
• Reports coverage and unsupported inputs
• Supports immutable simulations and bottleneck analysis

Operational Integration and Workflow

Dependency analysis must fit into existing SAP governance and change management workflows. This includes integration with transport governance, testing regimes, and production ownership.

Tools should generate implementation packages and impacted test sets based on dependency insights to streamline execution and validation. Recording approvals and coordinating cutover activities ensures operational continuity.

Adranum’s approach emphasizes customer control over source data and credentials, with signed operators returning verifiable evidence and receipts to support audit and compliance.

• Integrates with SAP transport and testing processes
• Generates implementation packages and test impacts
• Records approvals and coordinates cutover

Evaluating SAP Dependency Analysis Solutions

When selecting a dependency analysis tool, consider evidence ingestion breadth, ability to map inferred dependencies, and support for governance workflows including approvals and reconciliation.

Evaluate how the tool reports coverage and unsupported inputs to understand analysis completeness. Assess capabilities for simulation and bottleneck identification to optimize modernization planning.

Security considerations include whether raw service data and credentials remain within customer infrastructure, and how evidence and commands are exchanged securely.

• Breadth and depth of evidence ingestion
• Support for inferred dependency mapping
• Governance and approval workflow support

What the workflow must cover

• Multi-Source Evidence Ingestion. Adranum ingests authorized SAP readiness, ATC, abapGit, DDIC, process-event, and connector evidence to build a comprehensive dependency map.
• Observed and Inferred Dependency Mapping. The tool maps both direct and indirect dependencies, enabling deeper impact analysis and risk assessment for SAP changes.
• Governed Change Decision Support. Supports keep, replace, remediate, and retire decisions with reviewable proposals and recorded human approvals to align with governance requirements.
• Implementation Package Generation. Creates content-addressed implementation packages and impacted test sets to streamline execution and validation during modernization.
• Operational Continuity Coordination. Coordinates cutover, reconciliation, and exact-state recovery activities based on dependency insights to minimize disruption.
• Customer-Controlled Data Security. Allows customers to retain raw service data, source, and credentials within their infrastructure while exchanging bounded commands and aggregate outcomes securely.

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 evidence including readiness checks, ATC results, and abapGit repositories.
2. Ingest evidence into the dependency analysis tool to map observed and inferred dependencies.
3. Generate dependency reports highlighting coverage, unsupported inputs, and inferred relationships.
4. Review dependency maps to identify keep, replace, remediate, or retire decisions with stakeholder input.
5. Create reviewable code and data proposals based on dependency insights for approval workflows.
6. Generate content-addressed implementation packages and impacted test sets for execution.
7. Coordinate cutover, reconciliation, and continuity activities using dependency analysis outputs.

Evidence to require

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

• SAP readiness check reports
• ATC static code analysis results
• abapGit repository snapshots
• DDIC object metadata
• Process event logs and variants
• Data quality assessment reports
• Connector configuration and usage evidence
• Dependency mapping reports
• Implementation package manifests
• Approval and reconciliation receipts

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-controlled compilation and runtime validation.
• Does not substitute specialized testing products in all scenarios.
• Missing or incomplete input evidence remains visible and may limit analysis completeness.

Public comparison sources

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

• Dependency Analyzer
• SC Dependency Analysis - AS Java
• Upgrade Dependency Analyzer (UDA)
• Solved: SCA Dependency Analaysis Tool
• SAP Data Dependencies in Complex Environments ...

Buyer checklist

• What types of SAP evidence does the tool ingest and how is it authorized?
• How does the tool distinguish between observed and inferred dependencies?
• Can the tool generate reviewable proposals and record approvals for governance?
• Does the solution support content-addressed implementation packages and impacted test generation?
• How does the tool integrate with existing SAP transport and testing processes?
• What mechanisms ensure raw service data and credentials remain within customer control?
• How are coverage gaps and unsupported inputs reported to users?
• Does the tool support simulation of change variants and bottleneck identification?