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
  • Seamless Access to Detailed User Story Coverage:
  • Absolute Numbers Guide Efficient Testing Resource Allocation

Was this helpful?

  1. User Story Coverage
  2. User Story Coverage Report Overview

User Story Quality Overview

PreviousHow to Generate / Edit the ReportNextHow to Generate the User Story View

Was this helpful?

Users can delve into the coverage details of individual user stories (and subtasks) and review:

  • The absolute number of modified methods and methods that have been thoroughly tested.

  • The breakdown of the coverage across various test stages.

Primary Users

Ideally suited for developers and QA engineers to track the coverage status of an individual user story and make informed decisions regarding the prioritization and allocation of testing resources.


Seamless Access to Detailed User Story Coverage:

Forget juggling multiple reports! The User Story Quality Overview view is conveniently accessible from anywhere within Jira. With a single click on any user story, you'll gain instant insights into:

  • Comprehensive Coverage: Get a holistic view of coverage percentage, both overall and for non-unit tests specifically.

  • Granular Breakdown: Dive deeper into the specific test types covering each user story, pinpointing areas that require closer attention.

  • Absolute Numbers: Understand the true testing effort involved by seeing the exact number of modified methods and the number of them covered by tests.

  • Deep Dives: For even more granular details, the provided link takes you to a dedicated reports where you can explore sub tasks coverage and individual methods in depth.

Absolute Numbers Guide Efficient Testing Resource Allocation

The absolute numbers presented in the view are crucial, as they provide a clear understanding of the testing effort required for each user story. Testing 25 methods out of 40 modified methods is significantly different from testing 525 out of 840 methods. While completing testing for 15 methods is relatively achievable, testing over 300 methods poses a much larger challenge.

This view empowers teams to make informed decisions regarding the prioritization and allocation of testing resources.