Automated Test Data Generation

Enhancing Insurance QA with Automated Test Data Generation

Introduction

The Importance of Test Data Generation

Benefits of Production-like Test Data

  • Improved Product Quality: Production-like test data closely mirrors real-world scenarios, allowing testers to identify and fix potential issues before deployment. This results in a more reliable and robust product.
  • Cost-efficient Testing Process: Automated test data generation reduces the time and effort required to create test data, leading to significant cost savings.
  • Enhanced Compliance and Security: Using anonymized production-like test data minimizes the risk of exposing sensitive information, ensuring compliance with data protection regulations.

Automated Test Data Generation

Key Components of Test Data Generation

  • Generate Nodes: Nodes represent different data elements in the test data generation model. Nodes can be populated with randomly generated data, static values, or data pulled from other nodes. For instance, a node representing a city name might be filled with randomly generated city names from a predefined list.
  • Sensitive Data Generation: Certain types of data, such as SSNs and driver’s license numbers, require special handling to ensure security and compliance. These data types are generated using algorithms that produce realistic but anonymized values.
  • Common Data Generation: Common data, such as city and state names, are generated from predefined lists to ensure accuracy and relevance.
Permutation Tables
How Permutation Tables Work
  1. Define Input Values: The first step is to define the range of input values for each node. For example, if testing a form that collects user information, input values might include different city names, state names, and SSNs.
  2. Generate Permutations: The permutation table generates all possible combinations of the input values. This ensures that every potential scenario is tested.
  3. Create Test Cases: Each combination of input values represents a unique test case. Testers can use these test cases to verify that the web application behaves correctly under all conditions.
Automated Test Data Generation
Emtech QMT
QMT Test Data Generator Features
  • Automated Data Generation: QMT automates the creation of test data, significantly reducing the time and effort required.
  • Context-sensitive Data: QMT generates data that is context-sensitive, ensuring that it accurately represents real-world scenarios.
  • Support for Sensitive Data: QMT includes features for generating anonymized sensitive data, such as SSNs and driver’s license numbers, ensuring compliance with data protection regulations.
  • Permutation Tables: QMT supports permutation tables, allowing for comprehensive testing by creating test cases for every combination of input values.
Advantages of Using Emtech QMT
  • Improved Product Launches: QMT discovers all defects early, delivering the level of quality needed to meet product launch dates.
  • Full coverage at a fraction of the cost: Using a knowledge graph model removes manual testing, human error and extends visibility of QA for new products to well-informed business analysts.
  • Reduce quality-related day-2 issues: QMT enables IT executives to get more value from the dollars spent by testing 100 percent of the value chain, providing the fewest quality-related Day 2 Issues, and reducing the inherent risks.
  • Model Complex Policy Life Cycles: By testing the end-to-end process of insurance systems, and the integrations between them, carriers, InsurTechs and software vendors can drive quality into product launches and eliminate embarrassing errors experienced by distributors and customers post-launch.
Emtech’s Unique Approach to Quality Engineering
Final Thoughts

Neil Bendov