Textual, graphical and tabular representation of requirements, insertion of attributes, trace matrices and arbitrary tables with user data.

Built-in capabilities for creating UML models (PlantUML, draw.io), mathematical formulas, UI layouts, etc. Support for a wide range of notations.

Low-level design of classes, data models, tables and other components. Automatic generation and use of interactive diagrams.

Applying requirements templates, specification templates, copying sections of requirements, including requirements in multiple documents, including requirement text in multiple sections.

Reuse requirements between projects.

Audit of requirements changes, manual and automatic creation of versions, comparison of versions, cancellation of changes, creation and comparison of baselines, creation, comparison and merging of document branches.

Versioning of attributes and displaying changes to estimates, budget, etc.

Vertical and horizontal traceability of requirements from user requirements to code and all necessary internal project documentation. Using traceability matrices.

Requirements typification and multi-level traceability between different abstraction layers.

AI functions for automated identification of relationships between design artifacts.

Easy analysis of the impact, localization of areas of potential changes and their cost. Traceability of requirements between different projects and teams.

Automatic localization of necessary changes due to changes in top-level artifacts (“suspicion” mechanism).

Built-in metrics and integrity analysis reports. Quickly update derived artifacts by comparing versions of the original requirements.

Import requirements from external formats and export to external formats: ReqIF, MSWord, OpenDocument, PDF, Excel.

Export using a user template to support the requirements of documentation standards (GOST, etc.).

AI functions for automatic classification of requirements by levels, types, etc.

Built-in requirements validation and verification capabilities support RUP, V-Model, and more.

The built-in test management system allows you to prepare test documentation based on requirements, populate manual test reports, import reports from automated testing tools, and visualize quality reports.

AI functions for automatically assessing the quality of requirements and generating test documentation.

RMS implements the ability to create a development backlog based on developed requirements, taking into account versioning, using the practices of developing Use Cases or User Story.

The built-in development tracker allows you to effectively and conveniently manage the implementation of requirements, track deadlines and progress in implementing requirements.

Built-in integrations allow you to connect an external tracker to manage requirements implementation.

Built-in MCP server for integration with AI agents to perform custom AI analysis, design and documentation tasks.

Built-in RAG for searching design artifacts by meaning, based on integration with remote and local LLMs.

Built-in AI functions for text improvement, auto-generation of models, semantic analysis and requirements quality assessment.