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
  • Understanding the Charts
  • Data Analysis

Was this helpful?

  1. Quality Improvement
  2. Quality Improvement Solution Overview

Coverage Trend Report

PreviousHow to Generate / Edit the ReportNextHow to Generate / Edit the Report

Was this helpful?

Unveil the secrets of your code's quality with the Coverage Trend Report. This powerful tool grants you deep insights into how your application's coverage changes over time, empowering you to craft a data-driven testing strategy. See your quality trends unfold, understand the impact of different test types, pinpoint vulnerabilities, and track progress. Make informed decisions fueled by data to elevate your software quality to new heights.


Understanding the Charts

The report presents two essential charts:

  • Modified Coverage Chart: Tracks coverage of changed code. Code changes you haven’t tested are your quality risks. The higher the coverage, the lower the chances for escaping defects. Aim for consistently high coverage for minimized risks and a strong quality culture.

  • Overall Coverage Chart: Monitors the coverage of your entire codebase. Strive for a positive trend, primarily driven by covering newly added or modified code. Temporary drops might occur after significant code changes without immediate coverage.

Data Analysis

The charts data is based on the following:

  • Aggregated coverage of the selected test stages

  • All selected builds within the selected date range. There are two options for selecting builds:

    • All builds, aggregated based on selected time interval: 1/2/3/4 weeks or month. Each point in the X-axis represents an interval and consider all code changes from the last build in interval X-1 and all related test stage coverage reported in builds within X.

    • Reference builds. Reference build X, as defined in SeaLights Dashboard, takes code changes from reference build X-1 and only considers coverage from test stages reported to that build. Each point in the X-axis represents a single reference build.

  • Selected chart elements:

    • Selected Test Stages vs. All Test Stages coverage

    • Number of methods covered

    • Coverage quality gates

    • Number of production defects

Coverage Trend Report