Turning testing efforts into tangible results requires insightful measurement. This use case equips you to monitor your testing journey, evaluate the effectiveness of your strategies, and identify areas needing a course correction. By consistently tracking key metrics and analyzing their impact, you'll ensure continuous progress towards quality software.
Step-by-Step Tutorial
1. Identify Key Metrics
Code Coverage: Using the Proof of Testing report to track the percentage of code covered by tests (overall code and modified code), aiming for gradual improvement over time.
Test Execution Rate: Monitor the number of tests successfully executed to gauge overall testing activity.
Defect Detection Rate: Measure how many bugs tests unearth, indicating their effectiveness in identifying issues.
Defect Escape Rate: Measure how many escaping defects were found in production.
2. Monitor Progress Through Data Visualization
Utilize charts and graphs on SeaLights' Coverage Trend Report to visualize metric trends, spotting areas of progress, stagnation, or regression.
Benchmark your metrics against industry standards or previous releases to assess relative performance.
3. Analyze Impact for Informed Decisions
Compare code coverage trends with defect detection rates: Assess if increased coverage leads to more bug identification.
Compare code coverage trends with defect escape rates: Assess iff increased coverage leads to less escaping defects.
Analyze trends across different features or modules: Identify specific areas requiring additional testing efforts.
4. Identify Areas for Improvement
Low code coverage areas: Prioritize additional testing for these sections to enhance overall quality.
High defect detection areas: Invest in more focused testing or code reviews to further reduce vulnerabilities.
5. Refine & Iterate
Based on your analysis, adjust testing strategies, allocate resources, and introduce new testing tools as needed.
Continuously revisit your key metrics and refine your tracking approach for lasting quality improvement.
By embracing this data-driven approach, you can transform the "black box" of testing into a transparent and measurable journey, ensuring your efforts deliver maximum quality impact.
