| Admin | A user role with full access rights, including user management, configurations, and license provisioning. |
| AI-Powered Document Generation | Automated creation of documents such as PRDs, Test Strategies, and Test Plans using AI models. |
| API (Application Programming Interface) | A set of rules and endpoints that allow software applications to communicate with each other. |
| API Test Cases | Test scenarios specifically created to validate API endpoints, parameters, and responses. |
| API Test Scripts | Automated scripts generated from API test cases to execute API validations within TestingAIde. |
| Artifact Assembler | A feature that generates sample or synthetic test data for use in test execution. |
| Audit Logs | A record of activities and changes performed within the platform for compliance and tracking. |
| Azure AD (Azure Active Directory) | Microsoft's identity management service used for Single Sign-On (SSO) integration. |
| Business Unit | A subdivision within an organization licensed separately in TestingAIde for access and resource allocation. |
| Case Composer | The TestingAIde module where users can design, import, or generate test cases. |
| Context Canvas | A workspace to define project details, background, and objectives for AI to generate more accurate outputs. |
| DAST (Dynamic Application Security Testing) | A method of scanning running applications to identify security vulnerabilities by simulating real-world attacks. |
| Dashboard | The central hub showing key metrics, test results, execution trends, and resource usage across projects. |
| Dataset Generation | A process of creating synthetic data for fine-tuning models or test execution. |
| Deployment Data | Metadata and readiness information about deploying fine-tuned AI models. |
| Execution Engine | The module where tests (Functional, API, Security, Compliance, IVR) are executed and tracked. |
| Fine-Tuning (Insight Infusion) | The process of training a base AI model with custom datasets to improve its domain-specific accuracy. |
| GitHub Integration | Connecting GitHub repositories to TestingAIde for PRD generation and SAST scans. |
| IVR Testing (Interactive Voice Response Testing) | Testing of automated telephony systems to validate call flows and responses. |
| JIRA Integration | Linking TestingAIde with JIRA to fetch epics, user stories, and acceptance criteria for test case generation. |
| LLM (Large Language Model) | An AI model that processes natural language to generate documents, test cases, and scripts. |
| Page Insights Testing | A feature that evaluates a web page's Performance, Accessibility, SEO, and Best Practices. |
| Performance Testing | Testing applications or APIs under load to measure responsiveness, scalability, and stability. |
| Postman Collection | A structured file containing API requests that can be imported into TestingAIde for test case generation. |
| PRD (Product Requirement Document) | A structured document capturing product features, requirements, and constraints. |
| RAG (Retrieval-Augmented Generation) | A pipeline that retrieves relevant chunks of data from a vector database to enhance AI responses. |
| SAST (Static Application Security Testing) | Analyzing application source code or binaries for vulnerabilities before execution. |
| SEO (Search Engine Optimization) | A set of practices to improve a web page's visibility and ranking on search engines. |
| Single Sign-On (SSO) | A login method allowing users to authenticate once and gain access to multiple systems securely. |
| Synthetic Test Data | Artificially generated data used for testing without exposing real production data. |
| Test Case | A set of conditions or steps designed to verify the functionality of an application feature. |
| Test Plan | A detailed document outlining test scope, activities, resources, and schedules. |
| Test Script | An automated version of a test case that can be executed by a testing tool. |
| User Management | The feature allowing admins to create, manage, and assign user roles and permissions. |
| Vector Database | A database (e.g., Pinecone, pgvector) used to store embeddings for semantic search in RAG pipelines. |