Skip to main content
logo Contact us

Software Testing Glossary of Terms

Author Betsy Timbers
Download PDF

Software testing is the critical process of evaluating a system or application to ensure it functions as expected, meets all business and technical requirements, and performs reliably and securely. For health plans, a robust testing strategy is essential to identify gaps, defects, or missing requirements before a new software solution reaches production. This process ensures that core administrative systems operate correctly, reliably, and in full compliance with industry regulations.

Core Categories of Software Testing

A testing category defines the fundamental purpose of a test. Understanding these categories helps health plans structure their evaluation efforts to cover all aspects of a system’s functionality and performance.

Functional Testing

Functional testing validates that the software works as intended by executing business rules correctly and delivering the expected outcomes. It answers the question: "Does the system do what it's supposed to do?"

Non-Functional Testing

Non-functional testing focuses on how the system works. It evaluates whether the system meets expectations for performance, reliability, security, and usability under real-world conditions.

Regression Testing

Regression testing is deployed when changes are made to the system, such as an upgrade or defect fix. Its purpose is to verify that existing functionality continues to work as expected and that the changes have not introduced new issues.

Understanding Software Testing Levels

Software testing levels describe the scope of the test being performed, progressing from individual components to the entire system. Each level builds upon the previous one, increasing in complexity and business relevance.

  • Unit Testing: This is the most granular level, focusing on the smallest functional components of an application, such as a single module or a specific calculation logic. It validates that each piece works correctly in isolation.
  • System Integration Testing (SIT): Individual units are combined and tested to evaluate how they work together. SIT ensures that different modules or components communicate effectively and behave as expected when integrated.
  • End-to-End (E2E) Testing: E2E testing simulates a complete, real-world business workflow from start to finish across all integrated systems and touchpoints. It verifies that the entire application provides a seamless user experience and meets all business requirements.
  • User Acceptance Testing (UAT): As the final gate before go-live, UAT involves real business users (e.g., operations staff, clinicians) testing the system in scenarios that reflect their actual day-to-day operations. The focus is on usability, practicality, and overall business fit.

Specialized Types of Software Tests for Health Plans

Beyond the core categories and levels, several specialized tests are crucial for addressing the unique challenges of the healthcare industry.

 

Test Type

Description

Example for Health Plans

Data Migration Testing

Validates that data is accurately and securely moved from a legacy system to a new one without loss, corruption, or integrity issues.

When migrating patient records to a modern platform like HealthRules Payer, testers check that all fields (e.g., patient history, billing info) are intact and correct.

Performance Testing

Evaluates application speed, responsiveness, stability, and scalability under various load conditions to ensure performance during peak activity.

Simulating thousands of concurrent users accessing the member portal during open enrollment to ensure response times remain acceptable.

Security Testing

Validates that the solution is protected from vulnerabilities and unauthorized access, ensuring sensitive data is safeguarded.

Confirming that sensitive patient data is encrypted and the system is protected against common threats like SQL injection attacks.

Compatibility Testing

Verifies that the application works as intended across different browsers, devices, and operating systems relevant to the customer’s environment.

Evaluating a provider portal’s performance and behavior on Chrome, Safari, and various mobile devices for consistency.

Disaster Recovery Testing

Confirms that the system can be restored and business operations can resume after a critical failure or outage.

Simulating a database crash to verify that the system can restore data from backups successfully and within the defined recovery time objective.

Compliance Testing

Ensures the system adheres to industry regulations and standards like HIPAA by confirming that required controls and business rules are correctly implemented.

Validating that the system meets all HIPAA compliance requirements for handling protected health information (PHI).

Integration Testing

Tests the specific interfaces and connections between different software modules or between the core system and external applications.

Verifying that the core administrative system integrates correctly with a third-party pharmacy benefits management (PBM) system.

Manual vs. Automated Testing: Choosing the Right Approach

Health plans can leverage both manual and automated testing methods to achieve comprehensive coverage. The choice depends on the specific testing goal.

Aspect

Manual Testing

Automated Testing

Execution

A human tester executes test cases step-by-step without scripts.

Software tools and scripts run test cases automatically without human intervention.

Best For

Scenarios requiring human judgment, such as exploratory, ad-hoc, and usability testing.

Repetitive tasks, large-scale regression testing, and performance testing where speed and consistency are key.

Essential Software Testing Artifacts

Effective testing relies on well-defined artifacts to guide the process.

  • Test Scenario: A high-level description of what is being tested, typically aligned with a business workflow like "submitting a healthcare claim" or "checking member eligibility."
  • Test Case: A detailed set of instructions on how a test scenario will be validated. It includes specific steps, input values, and the expected outcomes to verify correct functionality.
  • Test Data: The input values used during test execution, such as member IDs, policy numbers, or provider credentials. Using realistic and de-identified data is essential for simulating actual conditions while maintaining privacy.

The Software Testing Process: A Step-by-Step Framework

A structured testing process ensures that all requirements are met and the system is ready for production.

  1. Requirements Analysis: Understanding, documenting, and validating the health plan’s business needs to ensure the solution can be implemented correctly.
  2. Test Planning and Design: Defining the testing scope, approach, and timeline. Business requirements are translated into test scenarios and cases.
  3. Test Environment and Data Preparation: Setting up a stable test environment and preparing representative, de-identified data for meaningful and compliant testing.
  4. Test Execution: Running test cases, validating outcomes against expected results, and documenting the findings.
  5. Defect Tracking and Resolution: Logging, prioritizing, and managing all identified defects through to resolution to ensure issues are addressed before go-live.
  6. Test Reporting & Sign-Off: Providing clear visibility into test results and overall readiness, enabling stakeholders to make an informed go-live decision.

Key Roles in a Software Testing Team

A successful testing effort requires a dedicated team with specialized roles.

  • Test Lead: Oversees the entire testing effort, defines the strategy, manages resources, and serves as the main point of accountability for go-live readiness.
  • Business Analyst / Subject Matter Expert (SME): Provides deep knowledge of health plan operations and business rules to ensure test scenarios reflect real-world workflows.
  • Test Strategy Lead: Translates business requirements into structured test cases that define what will be tested and how success is measured.
  • Test Analyst: Executes test cases, documents results, identifies defects, and verifies fixes.
  • Quality Analyst: Manages the defect lifecycle, tracks quality trends, and provides data-driven insights into solution readiness.
  • Automation Engineer: Builds and maintains automated tests for repeatable scenarios to improve testing speed, consistency, and coverage.
  • Data Specialist: Validates that data is accurate, complete, and correctly migrated or transformed within the system.
  • Configuration / System Administrator: Sets up and maintains the test environment, ensures system configurations are correct, and assists with technical issues.
  • Project / Implementation Manager: Coordinates all testing activities within the broader project plan to keep teams aligned and focused on a successful go-live.