I designed, documented, and implemented a document-control system that carries requirements into roles, lifecycle states, version history, access behavior, auditability, and validation. The central evidence is traceability: the architecture artifacts are connected to a working implementation rather than presented as diagrams with no delivery path.
Requirements were the first system boundary
The operational problem is familiar: documents move between people, but disconnected files and manual tracking make it difficult to know which version is current, who can act, what has been reviewed, or why a state changed.
I translated that problem into explicit requirements for document creation, access, review, approval, revision, search, history, administrative controls, and traceable activity. The requirements also had to distinguish a document's content from its metadata and lifecycle. Without that separation, versioning and approval behavior become difficult to reason about.
Original project artifact / inspected August 2026
Inspect the requirements trail in the public report.
The public repository contains Report.pdf. Its use-case section connects administrative account and role work to named system use cases; the report also includes activity, sequence, class, and component diagrams.
Admin — documented use case: create a user account for system access.
Admin — documented use case: assign a user role for the appropriate access level.
The report supports requirements and modeling evidence. It does not establish production deployment, an exact runtime stack, formal assurance, or operational scale.
Actors, permissions, and the document lifecycle
Role-based access is central to the workflow. A person who creates or edits a document does not automatically have the same responsibilities as a reviewer, approver, or administrator. The public story keeps those role categories general while preserving the implemented separation of responsibilities.
The lifecycle moves through creation, review, approval, revision, and archive-related states. Version history preserves what changed across revisions. Search and retrieval help people find the appropriate record. Activity history supports traceability across the flow.
Lifecycle walkthrough
Inspect a role and state before the next action.
This deterministic demonstrator explains confirmed lifecycle behavior. It is not a live document-control system and does not store records.
Prepare the record for review.
An author creates or revises Document 024 before it enters review.
- Available action
- Submit for review
- Transition
- Draft → In review
- History effect
- Record the transition without replacing the existing history
The lifecycle and activity history explain implemented control and traceability behavior; they are not a compliance or security certification.
Permissions need both interface and system treatment. The interface should make available actions understandable, while application logic enforces the underlying rules. Exact service, storage, and authorization details remain private until they can be reviewed safely.
From UML and states to implementation
I used requirements and UML or state thinking to describe actors, workflow transitions, system responsibilities, and delivery behavior. The implementation then mapped those models into document metadata, versions, roles, permissions, lifecycle logic, history, search, and relevant interface states.
This was not a separate architecture exercise followed by unrelated coding. The models created a shared language for deciding which state transitions were valid, which actions belonged to which role, and what evidence a test should observe.
The exact framework, database, and cloud services have not been verified for public release, so the narrative stays focused on confirmed system behavior rather than filling that gap with a familiar stack.
State, recovery, and version behavior
Document workflows need to account for more than the happy path. A review can return a document for revision. An approval action can be unavailable to the current role. A user can search without a result. A version can be superseded. An administrative action can require confirmation or a traceable explanation.
I treated those states as part of the system model rather than late interface copy. That makes it easier to connect a user-visible message to the lifecycle rule that caused it.
The reconstructed version-history and activity views use neutral sanitized document and role labels. They demonstrate confirmed functionality and remain clearly identified as reconstructions rather than original production captures.
Validation followed the requirements
Testing and QA planning used the same traceability chain. A requirement for controlled approval, for example, implies validation of the allowed actor, the starting state, the state change, the resulting history, and the behavior when the action is not permitted.
The public report and architecture repository make the requirements, modeling, and validation approach inspectable. Production scale and formal regulatory or security review are not claimed.
The final implementation-architecture visual remains blocked until the stack and system boundaries can be verified. Confirmed lifecycle, role, and traceability diagrams remain available in the meantime.
Engineering tradeoffs
A document system can accumulate configuration quickly. More roles, more lifecycle states, and more exception paths can model every possible organization but also make the product harder to understand and validate.
Search and activity history create similar choices. Richer metadata improves retrieval and reporting but increases input and maintenance requirements. Detailed history improves traceability while adding privacy, retention, and access responsibilities.
Result and next engineering step
The result is a working document-control implementation connected to its requirements, role and state models, technical documentation, and QA plan. The value is the traceability between those disciplines, not the volume of architecture artifacts.
No adoption, user, throughput, performance, or operational-savings metric is available. The result is the implemented system and its traceable evidence package, not an invented scale claim.
A focused implementation audit can identify a small set of source excerpts or runtime states that map directly to the report. That would let the final architecture diagram name real boundaries and make validation evidence more concrete while keeping protected documents and internal data out of the portfolio.