LogoLogo
Product
  • Knowledge Base
  • What's New
  • Guides
  • User Story Coverage
    • Getting Started
    • User Story Challenges & Solution
      • Typical Implementation
      • The Challenges
      • The Solution
    • User Story Coverage Report Overview
      • Release Go / No Go Report
        • How to Generate / Edit the Report
      • User Story Quality Overview
        • How to Generate the User Story View
      • User Story Coverage Analysis
        • How to Generate the Analysis View
      • Uncovered Methods View
        • How to Generate the View
      • Customization
      • Integration
    • Use Cases by Persona
      • Managers
        • Informed Go/No Go Decisions Making
        • Effective Resources Prioritization
        • Overall Progress Monitoring
      • Developers
        • Code Quality Ownership
        • Seamless Collaboration with QA
        • Code Review Facilitator
      • QA Engineers
        • Test Execution Progress Monitoring
        • Testing Effort Prioritization
        • Testing Strategy Planing
    • Technical Overview
      • User Story Coverage Mechanism
      • Technical Architecture
      • Deployment Guide
        • US1_getResults.sh
        • US2_createReport.sh
        • US_UpdateConfluence.sh
  • Test Optimization
    • Getting Started
    • Test Execution Challenges & Solution
      • The Challenges
      • Test Optimization Solution
      • Test Optimization Main Advantages
    • Test Optimization Overview
      • Automated Test Optimization
      • Manual Test Optimization
      • Test Optimization for Pull Request
      • Test Selection Policies
        • Full Run Policy
        • No Code Changes Policy
        • Common Code Policy
        • Fastest Path to 100% Coverage Policy
      • Integrations
    • Use Cases by Persona
      • Managers
        • Fast Delivery
        • Resource Optimization
        • Thorough Testing in Tight Schedule
      • Developers
        • Exploring Only Relevant Test Failures
        • Faster Feedback Loop
        • Shift Left Testing
      • QA Engineers & Manual Testers
        • Faster & Focused Manual Testing
        • Optimizing Test Suite
        • Having Stable Product for Testing
    • Technical Overview
      • Test Optimization Mechanism
        • Associating Code With Tests
          • Statistical modeling
          • One-to-One Mapping
          • Calibration
        • Detecting Modified Code
        • Generating Test Recommendations
      • Technical Architecture
      • Deployment Guide
  • Quality Improvement
    • Getting Started
    • Challenges & Approach Comparison
      • The Challenges
      • Quality Improvement Approaches
      • Choosing the Right Approach
    • Quality Improvement Solution Overview
      • Test Gaps Analysis Report
        • How to Generate / Edit the Report
      • Coverage Trend Report
        • How to Generate / Edit the Report
      • Proof of Testing Report
        • How to Generate / Edit the Report
      • Release Quality Improvement Guide
        • STEP 1: Deploy SeaLights
        • STEP 2: Take a Quality Snapshot
        • STEP 3: Prioritize Code Areas
          • Add Code Labels
          • Ignore Irrelevant Code
          • Perform a Deep CSV Analysis
        • STEP 4: Set Baseline & Threshold
        • STEP 5: Analyze Test Gaps
        • STEP 6: Write Tests
        • Step 7: Make a Go / No Go Decision Based on Quality Gate
        • STEP 8: Measure Defect Escape Rate
      • Over Time Quality Improvement Guide
        • STEP 1: Deploy SeaLights
        • STEP 2: Take a Quality Snapshot
        • STEP 3: Prioritize code areas
          • Add Code Labels
          • Ignore Irrelevant Code
          • Perform a Deep CSV Analysis
        • STEP 4: Set Baseline & Goal
        • STEP 5: Set timeline
        • STEP 6: Write tests
        • STEP 7: Monitor progress
        • STEP 8: Measure Defect Escape Rate
    • Use Cases by Persona
      • Managers
        • Effective Prioritization & Budget Allocation
        • Tracking Progress & Measuring Impact
        • Data-Driven Release Decisions
        • Transparency & Communication
      • Developers
        • Mastering Code Coverage
        • Seamless Collaboration with QA
        • Code Quality Ownership
      • QA Engineers
        • Prioritizing Test Efforts
        • Contributing to Release Informed Decisions
        • Seamless Collaboration with Developers
        • Evaluating Testing Strategy
    • Technical Overview
      • Solution Mechanism
      • Technical Architecture
      • Deployment Guide
  • Value Proposition
    • Overview
    • Quality Use Cases
      • Go/No Go Decisions
      • Quality Improvement & Test Gaps
      • Governance & Quality Gates
      • Compliance & Proof of Testing
    • Test Optimization Use Cases
      • Reduce Costs & Infrastructure
      • Shorten Release Cycles
      • Reduce Troubleshooting
Powered by GitBook
On this page

Was this helpful?

  1. Test Optimization
  2. Technical Overview
  3. Test Optimization Mechanism
  4. Associating Code With Tests

One-to-One Mapping

To establish a code-to-test mapping that is inherently precise right from the start, tools like OpenTelemetry can be employed.

If your application is instrumented with OpenTelemetry, signifying the integration of OpenTelemetry libraries into your software (available for various programming languages), your application generates telemetry data. This data encompasses traces of every operation within your application, facilitating a comprehensive understanding of a request's journey through diverse services within a distributed system.

The OpenTelemetry SDK efficiently gathers this telemetry data from your application and manages context propagation across service boundaries. This entails tracking the connections between different operations, even when they occur on distinct services or servers.


Efficient Code-to-Test Mapping with OpenTelemetry

Harnessing OpenTelemetry data can expedite the creation of an accurate code-to-test mapping. If your organization already utilizes OpenTelemetry, integrating it with Test Impact Analysis (TIA) requires minimal effort. However, it's crucial to ensure that all components interacting with the code support OpenTelemetry. If even a single component disrupts communication between OpenTelemetry and the application, the data becomes unusable.

To guarantee seamless integration, thoroughly examine every aspect of your architecture, including event managers, message queues databases, agents, front-end agents, test runners and any other relevant element. Validate that every component can effectively exchange data with OpenTelemetry, ensuring uninterrupted communication and accurate test impact analysis.

PreviousStatistical modelingNextCalibration

Was this helpful?