Functional Specification Document (FSD)
Table of Contents
- Introduction
- Purpose
- Scope
- Definitions, Acronyms, and Abbreviations
- References
- Overview
- Functional Requirements
- Data Requirements
- User Interface Requirements
- Non-Functional Requirements
- Assumptions
- Constraints
- Acceptance Criteria
- Appendix
- Approval
Introduction
This Functional Specification Document (FSD) outlines the requirements for building an automated testing system using MAD AI's cAItalyst AI-as-a-Service product. The system will allow clients to input test cases via a user-friendly interface, and the cAItalyst product will execute these test cases automatically.
Purpose
The purpose of this FSD is to detail the functional requirements of the automated testing system, ensuring a clear understanding of the system's capabilities and functionalities for all stakeholders.
Scope
This document encompasses the design and functionality of an automated testing system using MAD AI's cAItalyst AI-as-a-Service product. It focuses on enabling clients to input test cases and have these cases executed automatically by cAItalyst.
Definitions, Acronyms, and Abbreviations
- MAD AI: Machine Learning and Artificial Intelligence Development
- cAItalyst AI-as-a-Service: A product by MAD AI that provides AI capabilities as a service
- FSD: Functional Specification Document
References
- MAD AI cAItalyst Product Documentation
- Client Project Requirements
Overview
The automated testing system will consist of a user interface for clients to input their test cases and leverage the cAItalyst AI-as-a-Service product to execute these test cases automatically. This will streamline the testing process and ensure efficient and accurate test execution.
Functional Requirements
Requirement 1: User Interface for Test Case Input
- ID: FR-001
- Description: Develop a user interface that allows clients to input their test cases.
- Priority: High
- Source: Client requirements
- Rationale: Clients need a straightforward way to input test cases for automated execution.
- Acceptance Criteria: Clients can successfully input and submit test cases via the user interface.
- Dependencies: None
Requirement 2: Automated Execution of Test Cases
- ID: FR-002
- Description: Implement functionality for cAItalyst to automatically execute the test cases inputted by clients.
- Priority: High
- Source: Client requirements
- Rationale: Automating the execution of test cases will improve efficiency and accuracy in testing.
- Acceptance Criteria: Test cases are executed automatically by cAItalyst, and results are returned to the client.
- Dependencies: Integration with cAItalyst AI-as-a-Service product
Data Requirements
- Test case data including input parameters, expected results, and metadata.
- Execution logs and results for each test case.
User Interface Requirements
- A form for clients to input test cases, including fields for input parameters and expected results.
- A dashboard to view the status and results of submitted test cases.
- Error handling and validation for test case inputs.
Non-Functional Requirements
- Performance: The system should handle multiple concurrent test case submissions without significant performance degradation.
- Security: Ensure that client data and test cases are securely stored and transmitted.
- Usability: The user interface should be intuitive and easy to use for clients with varying levels of technical expertise.
Assumptions
- Clients will have a basic understanding of how to write test cases.
- The cAItalyst AI-as-a-Service product will be available and functional as per its documentation.
Constraints
- The project must be completed within the allocated budget and timeline.
- Any limitations of the cAItalyst AI-as-a-Service product must be taken into account.
Acceptance Criteria
- Clients can input and submit test cases via the user interface.
- Test cases are automatically executed by cAItalyst.
- Execution results are returned to clients accurately and promptly.
- The system meets the defined non-functional requirements.
Appendix
- Sample test case input form
- Mockups of the user interface
- cAItalyst integration guidelines
Approval
- Prepared by: Mike Meier
- Email: mikemeier@mad-tech.ai
- Date: 01/10/2025
- Approved by: [Approver's Name]
- Date: [Approval Date]