REQUIREMENTS ENGINEERING FOR LEGACY SYSTEMS

(REVERSE ENGINEERING)

Recover critical knowledge from your legacy systems with requirements engineering and reverse engineering.

What do you avoid with this service?

You avoid relying on tacit knowledge, outdated documentation, or key personnel who are the only ones who understand how the system works. This service allows you to reconstruct the functional behavior of legacy applications to facilitate their maintenance, modernization, migration, or replacement.

With reverse engineering, you reduce operational risks, rework, errors in future changes, and the loss of knowledge about critical business processes.

What exactly is included?

Gathering information about the current operation of the legacy system.
Analysis of screens, flows, business rules, and existing processes.
Identification of critical functionalities and operational dependencies.
Reconstruction of functional requirements from the current system.
Documentation of implicit or undocumented business rules.
Identifying gaps between actual behavior and existing documentation.
Mapping integrations, inputs, outputs, and stakeholders.
Building user stories or use cases derived from the system's current behavior.
Defining acceptance criteria for existing functionalities.
Supporting modernization, migration, or technology replacement processes.
Generating functional documentation for development, QA, and business teams.

Our Experience

Proprietary Requirements Engineering Methodology for Legacy Systems:

A structured approach to extracting functional knowledge from operational applications, incomplete documentation, and expert users.

Functional Analysis Tools:

To study screens, flows, data, business rules, validations, and behaviors of the current system.

Process Modeling Tools:

To represent current processes—AS IS—, operational flows, decisions, and exceptions.

Functional Documentation Tools:

To consolidate requirements, business rules, use cases, user stories, and acceptance criteria.

Traceability Tools:

To connect existing functionalities with business processes, actors, data, integrations, and test scenarios.

Use of Artificial Intelligence:

To accelerate the analysis of existing information, identify patterns, detect inconsistencies, structure requirements, and propose functional documentation based on system evidence.

QA Support Tools:

To transform the recovered knowledge into validation scenarios, test cases, and verifiable criteria.

Does your legacy system depend on undocumented knowledge?

Software Testing