groups (table) Content
| GRP-003 | SUT-003 | ["PLN-003"] | Dashboard Test Cases | Group of test cases designed to validate the integration capabilities of Dashboard, focusing on data ingestion, processing integrity, and reporting functionalities to ensure compliance and performance standards are met. | arun-ramanan@netspective.in | 2024-11-01 | ["integration testing","data validation","reporting"] | ### Overview This test case group is structured to ensure the seamless functionality and reliability of dashboard by validating key integration points and performance metrics: - **Data Ingestion**: Verifying capability to handle multiple data formats (JSON, CSV, XML) without errors or data loss. - **Data Processing Integrity**: Ensuring that all ingested data is accurately processed and retains integrity throughout. - **Reporting Accuracy**: Validating that generated reports reflect the processed data accurately and meet compliance requirements. - **Performance Under Load**: Testing the system's ability to handle concurrent ingestion requests and maintain performance benchmarks. - **Automated Testing**: Facilitating integration into CI/CD pipelines for consistent testing and validation of new releases. |
| GRP-004 | SUT-003 | ["PLN-007"] | Login Test Cases | Group of test cases designed to validate the integration capabilities of focusing on data ingestion, processing integrity, and reporting functionalities to ensure compliance and performance standards are met. | qa-lead@example.com | 2024-11-01 | ["integration testing","data validation","reporting"] | ### Overview This test case group is structured to ensure the seamless functionality and reliability of data by validating key integration points and performance metrics: - **Data Ingestion**: Verifying API's capability to handle multiple data formats (JSON, CSV, XML) without errors or data loss. - **Data Processing Integrity**: Ensuring that all ingested data is accurately processed and retains integrity throughout. - **Reporting Accuracy**: Validating that generated reports reflect the processed data accurately and meet compliance requirements. - **Performance Under Load**: Testing the system's ability to handle concurrent ingestion requests and maintain performance benchmarks. - **Automated Testing**: Facilitating integration into CI/CD pipelines for consistent testing and validation of new releases. |
| GRP-005 | SUT-003 | ["PLN-008"] | Search API Test Cases | Group of test cases designed to validate the integration capabilities of Search API, focusing on data ingestion, processing integrity, and reporting functionalities to ensure compliance and performance standards are met. | qa-lead@example.com | 2024-11-01 | ["integration testing","data validation","reporting"] | ### Overview This test case group is structured to ensure the seamless functionality and reliability of Search API by validating key integration points and performance metrics: - **Data Ingestion**: Verifying Search API's capability to handle multiple data formats (JSON, CSV, XML) without errors or data loss. - **Data Processing Integrity**: Ensuring that all ingested data is accurately processed and retains integrity throughout. - **Reporting Accuracy**: Validating that generated reports reflect the processed data accurately and meet compliance requirements. - **Performance Under Load**: Testing the system's ability to handle concurrent ingestion requests and maintain performance benchmarks. - **Automated Testing**: Facilitating integration into CI/CD pipelines for consistent testing and validation of new releases. |
| GRP-006 | SUT-004 | ["PLN-004"] | Integrity Test Cases | integration of APIs Validation and Testing | arun-ramanan@netspective.in | 2024-11-01 | ["Compatability testing"] | ## Description To validate the seamless integration of APIs with the server, ensuring proper database connectivity, authentication retrievals, and tracking mechanisms function as expected. ## Scope **Primary Focus:** - Integration of APIs with the Server. - API tracking system validation. - Validate seamless integration of APIs with the system. - Ensure proper functionality of database connectivity to support real-time operations. - Confirm accuracy and consistency of authentication retrievals via API endpoints. - Verify that API tracking mechanisms capture and log relevant transactions accurately. |
| GRP-008 | SUT-006 | ["PLN-006"] | Security Test Cases | API Security Testing Execution Report - OWASP Compliance | arun-ramanan@netspective.in | 2024-11-01 | ["Compatability testing"] | ## Description This documents the results of executing API security test cases based on the API Security Testing Plan, ensuring compliance with the OWASP API Security Top 10. The focus is on verifying secure authentication, authorization, data protection, and adherence to industry standards. ## Test Cases Executed 1. **Management Endpoints & Overall Authentication** 2. **Server Resource Allocation & Rate Limiting Verification** 3. **Error Handling Validation** 4. **Sensitive Data Handling** 5. **HTTP Methods Restriction** 6. **HTTP Return Code Validation** 7. **Access Control Verification** 8. **Input Validation** 9. **HTTPS Enforcement** 10. **Security Headers Validation** 11. **Security Misconfiguration** 12. **CORS Validation** ## Environment - **Test Environment:** test - **API Version:** v1.0 ## Tools Used - **Burp Suite:** Dynamic Application Security Testing & Vulnerability Scanning - **Nessus Professional:** Vulnerability Scanning - **Dirsearch:** Directory/File Bruteforcing ## Objectives - **Verify** the implementation of security controls across all API endpoints. - **Identify** any deviations from expected security behavior. - **Validate** the application of fixes for previously reported vulnerabilities. |
| GRP-002 | SUT-002 | ["PLN-002"] | Compliance Test Cases | Comprehensive FHIR Conformance Validation and Testing | arun-ramanan@netspective.in | 2024-11-01 | ["Compatability testing"] | ## Description To ensure adherence to FHIR (Fast Healthcare Interoperability Resources) standards based on the Implementation Guide (IG). The test aims to validate conformance to FHIR profiles, security standards, and operational best practices across all relevant endpoints and resources. ## Test Cases to Execute ### 1. Resource-Level Validation - Verify adherence to mandatory and optional FHIR elements for specific resources. - Ensure support for required extensions and custom profiles per the IG. - Validate use of terminology bindings to specified Value Sets. ### 2. Capability Statement Validation - Verify the API's Capability Statement includes all mandatory elements defined in the IG. - Confirm supported operations, interactions, and resource types. ### 4. Terminology Services Testing - Verify the use of correct Value Sets, Code Systems, and terminology bindings. - Test `$validate-code` and `$expand` operations for terminology validation. ### 10. Audit Logging - Validate that all operations are logged as per FHIR security standards. - Confirm compliance with audit event structures defined in FHIR. ## Environment - **Test Environment:** Test server with FHIR-compliant configuration. - **FHIR Version:** As specified in the IG (e.g., R4, R5). - **Scope Host URL/IP:** Defined API endpoint or test instance. ## Tools Utilized - **FHIR Validator:** Validate resource conformance to FHIR profiles. ## Objectives - Validate compliance with FHIR Implementation Guide requirements. - Identify deviations from FHIR standards and IG conformance. ## Execution Strategy ### Pre-Test Preparation: - Review the FHIR IG and confirm test prerequisites. - Load test data based on IG-compliant resource examples. ### Test Execution: - Run automated tests for conformance using the FHIR Validator. ### Post-Test Reporting: - Document test results and any deviations from expected behavior. - Provide actionable recommendations for resolving identified issues. |
| GRP-007 | SUT-005 | ["PLN-005"] | Performance Test Cases | API Performance Testing Plan for Single-User Interactions | arun-ramanan@netspective.in | 2024-11-01 | ["Compatability testing"] | ## Description This document outlines the execution of performance testing for the API to ensure it meets operational requirements under expected usage scenarios. The focus is on validating the system's ability to handle anticipated workloads, particularly single-user interactions per device, while ensuring optimal performance and reliability. ## **Exclusion Justification** ### **Scope Limitation** Performance testing is designed to simulate realistic single-user interactions per device as this aligns with the anticipated usage model. ## **Execution Details** ### **Test Objectives** - Validate response times under typical single-user interaction scenarios. - Assess throughput for API operations to ensure acceptable processing rates. - Measure the error rate under sustained usage to verify robustness. - Conduct endurance testing to identify potential bottlenecks during prolonged activity. - Evaluate resource utilization (CPU, memory, disk I/O) to ensure efficient performance. ### **Performance Benchmarks** - **Response Time:** - Expected: < 1 second for 95% of requests. - **Throughput:** - Minimum: 10 requests per second for sustained single-user scenarios. - **Error Rate:** - Target: < 1% of total requests. - **Endurance Testing:** - Duration: 12 hours of continuous operation without degradation. - **Resource Utilization:** - CPU: < 80% utilization during peak operations. - Memory: < 80% of allocated resources. ### **Environment Details** - **Test Environment:** Performance Test Environment. - **API Version:** v1.0. - **Simulated Workload:** Single-user interactions. ### **Tools Used** - **Apache JMeter:** For generating requests and monitoring performance metrics. ### **Test Scenarios** 1. **Single API Request Execution:** Measure response time for individual endpoints. 2. **Sequential API Calls:** Simulate real-world scenarios involving multiple consecutive API interactions. 3. **Error Rate Validation:** Induce and measure system response under faulty requests. 4. **Endurance Testing:** Simulate continuous usage over extended periods. 5. **Resource Utilization Monitoring:** Observe system behavior under sustained usage. ## **Deliverables** - **Test Results:** Consolidated report of response times, throughput, error rates, and resource utilization. - **Analysis:** Identification of any bottlenecks or performance issues. |
| GRP-001 | SUT-001 | ["PLN-001"] | Compatability Test Cases | Comprehensive Cross-Browser Testing for APIs | arun-ramanan@netspective.in | 2024-11-01 | ["Compatability testing"] | ### Description This testing initiative validates the compatibility and performance of APIs and web interfaces across popular browsers (Chromium, Microsoft Edge, Mozilla Firefox) and Linux-based operating systems. The focus is on delivering a consistent and seamless user experience by ensuring adherence to industry standards and resolving potential compatibility issues. ### Key Areas Covered - **Cross-Browser Functionality**: Validate rendering, responsiveness, and feature parity across Chromium, Edge, and Firefox. - **Operating System Compatibility**: Test API and UI functionality on Linux platforms. - **UI Rendering Consistency**: Ensure uniform design, layout, and responsiveness. - **API Behavior**: Verify API request handling and expected responses. - **Session Management**: Test cookies, local storage, and session behaviors. - **Media/File Handling**: Validate file upload/download functionality. - **Form Input and Error Handling**: Ensure proper input validation and uniform error management. ### Environment Details - **Test Environment**: Test - **Browsers**: Chromium, Firefox - **Operating System**: Linux - **API Version**: v1.0 - **Host URL/IP**: http://localhost ### Tools Used - Microsoft Playwright for automated browser testing. ### Objectives - Achieve consistent functionality across browsers. - Address compatibility issues for an improved user experience. - Maintain compliance with industry standards. |
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