AUTOSAD Features - AI Tools to Simplify and Enhance System Design

Requirements Engineering

RE covers how teams elicit, analyze, specify, validate, and manage functional and non‑functional requirements so that systems meet stakeholder needs. Typical pain points include ambiguity, incomplete coverage, inconsistent updates across downstream artifacts, and the rework caused by requirement changes.

Use Case Models

Use-case models capture how external actors (users, systems) achieve goals with a system, defining scope and functional behavior at a black box level. Use-case models give you a clean, stakeholder‑friendly map of system behavior; AUTOSAD layers GenAI on top to derive those models directly from requirements, keep them consistent as things change, and push them forward into concrete design and implementation artifacts (APIs, data, deployments). This shortens the path from “what users need” to “what we automate.”

Interaction Diagram

Show the message-by-message collaboration among actors and system parts to realize a use case path. Common forms: Sequence diagrams (lifelines, messages, alt/opt fragments), Communication diagrams (links and message numbering). Why it matters: clarifies responsibilities, timing, error paths, and interfaces derived from the use case steps.

System Conceptual Design

Capture the system’s intent, scope, external actors/systems, major information flows, and key quality attributes (NFRs) before any detailed design or code. Typical outputs include a system context diagram (often following the C4 model’s “System” level), an initial set of use cases, and early decisions about architectural style and boundaries.

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Physical Data Models

A high-level view of the domain (key entities and relationships) in business terms, independent of technology. Logical data model: a more detailed, normalized structure with attributes, keys, and cardinalities, still technology‑agnostic. Physical data model: the implementation-ready data design tailored to a target platform (naming, datatypes, storage, and other physical considerations).

Interface Diagrams

There are two approaches for API design, bottom-up and top-down. Traditional software development uses bottom-up, APIs are exposed once the system is built, but this approach does not yield good results. AUTOSAD uses top-down to represent business intent in the AIPs. From requirements, use cases, and data models, AUTOSAD proposes API endpoints and produces swagger definitions.

On-Prem & Cloud Deployments

AUTOSAD turns conceptual system design plus your requirements (including NFRs) into concrete, provider‑specific deployment models for on‑prem and the major clouds, editable via natural language, kept consistent across all diagrams, and packaged into a living architecture document. This shortens design cycles and improves traceability from requirements to deployment.

If you create short description of your system and key NFRs, the AUTOSAD deployment agent will generate onprem/AWS/GCP/Azure deployment models.

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Comprehensive Models
all in one place

Efficient model generation with minimal user effort

Accurate predictions for all domains

Workflow automation for system design tasks

Integration with software engineering processes

User-friendly interface for all team members

Real-time collaboration and version control

Functional Requirements

Functional requirements define what the system should do. They outline specific features, behaviors, and interactions expected from AUTOSAD.

1. Clarity: Ensure requirements are clear and understandable.
2. Consistency: Avoid conflicts and redundancies.
3. Stakeholder Involvement: Engage users and stakeholders early and continuously.
4. Prioritization: Rank requirements by importance and feasibility.
5. Traceability: Maintain links between requirements and their origins.
6. Flexibility: Be open to changes and updates.
economically viable.

Non-Functional Requirements

Non-functional requirements address system qualities like performance, security, and usability. AUTOSAD ensures a robust and reliable experience.

1. Clarity: Define non-functional requirements clearly and precisely.
2. Measurability: Ensure they can be measured or quantified.
3. Realism: Set achievable and realistic goals.
4. Prioritization: Determine which non-functional requirements are most critical.
5. Consistency: Maintain consistency with functional requirements and each other.
6. Documentation: Keep well-organized records of non-functional requirements.

Use Case Models

Use case models depict system interactions from a user’s perspective. Autosad covers scenarios like model creation, parameter tuning, and result analysis.

1. Clarity: Ensure use cases are understandable and unambiguous.
2. Completeness: Cover all scenarios, including alternate and exception paths.
3. Consistency: Align use cases with functional requirements and each other.
4. Stakeholder Involvement: Engage users and stakeholders to validate use cases.
5. Documentation: Maintain detailed and organized records of use cases.
6. Prioritization: Identify and focus on the most critical use cases first.

Interaction Diagrams

Interaction models illustrate how different system components communicate. Autosad’s interaction models ensure seamless coordination between AI algorithms and user inputs.

1. Clarity: Make diagrams easy to read and understand.
2. Completeness: Include all relevant interactions and messages.
3. Consistency: Ensure diagrams are consistent with use cases and requirements.
4. Stakeholder Involvement: Get feedback from stakeholders to validate interactions.
5. Documentation: Keep well-organized records of all interaction diagrams.
6. Prioritization: Focus on key interactions that are critical to the system.

Data Models

Data models are abstract representations that define the structure, organization, and relationships among data elements in a system.

1. Clarity: Ensure data models are easy to understand and interpret.
2. Completeness: Include all necessary entities, attributes, and relationships.
3. Consistency: Align data models with business requirements and other system models.
4. Stakeholder Involvement: Engage stakeholders to validate the accuracy and relevance of the data model.
5. Documentation: Keep detailed and organized records of data models.
6. Normalization: Ensure data is structured efficiently to avoid redundancy.

Application Models

Application models are abstract representations that define the structure, behavior, and interactions of the various components of an application.

1. Clarity: Ensure component models are easy to understand with clear interfaces and responsibilities.
2. Completeness: Include all necessary components and their interactions.
3. Consistency: Maintain alignment with architectural principles and other system models.
4. Stakeholder Involvement: Engage stakeholders, including developers, to validate component models.
5. Documentation: Keep well-documented records of all components and their relationships.
6. Reusability: Design components to be reusable across different parts of the application.

Deployment Models

Deployment models define how Autosad goes live. Whether on-premises or in the cloud, Autosad ensures smooth deployment and scalability.

1. Clarity: Ensure deployment models are easy to understand, showing system components and their deployment locations.
2. Completeness: Include all necessary nodes, hardware, and network configurations.
3. Consistency: Align deployment models with architectural and application requirements.
4. Stakeholder Involvement: Engage stakeholders, including IT and operations staff, to validate deployment plans.
5. Documentation: Maintain detailed and organized records of the deployment model.
6. Scalability: Design the model to accommodate future growth and increased load.

Features

AUTOSAD In a Nutshell

Requirements Engineering

Use Case Models

Interaction Diagram

System Conceptual Design

Physical Data Models

Interface Diagrams

On-Prem & Cloud Deployments

Design Canvas

Monolith Application Architecture

Monolith Application Architecture

Micro-Services based Architecture

Micro-Services based Architecture