It is important to measure the quality, effectiveness, and cost of software projects and processes. If we do not measure their accuracy, we will not be able to complete the product.

We use QA metrics in software testing to evaluate the testing progress and results. We can track the progress of QA using metrics. Metrics help us to measure the product quality and efficiency of the team. Through metrics, we can optimize the software processes and projects.

But we must mention it here, metrics are helpful only in context. It means that the identical showing, although appears to be the same, may have different meanings. The meanings of the metrics results depend on the nature of the projects. Thus, we can not depend on these results alone to conclude results or direct a team. 

Let us find out what is QA software testing metrics and the 8 QA metrics to improve software testing.

QA Metrics In Software Testing

QA Metrics in software testing is quantitative techniques. We use QA metrics to evaluate the progress, productivity, and quality of the software testing process. The goal of QA metrics is to enhance the effectiveness and efficiency of the software testing process. By providing reliable data, it helps to make calculated decisions for extra testing procedures.

What is Metric

A metric is a quantitative term. It defines the ratio to which a system, its component, or process holds on to a given attribute. 

QA Software Testing Metrics Vs. Software Quality Metrics

QA Software Testing Metrics ask the question:

“How accurate are the tests?”

While Software Quality Metrics ask the question:

“How accurate is the software?”

Importance Of QA Metrics In Software Testing

Team leads can use QA metrics as decision points to evaluate the productivity of a team over time. They can also use these decision points to plan the work for their team in the future. For example, imagine reporting some tests attached to the new release. It will help you to evaluate the time needed for regression. On the other hand, the number of bugs detected gives an idea about the need for a retest. Besides these simple examples, teams can get many more advantages in the long run.

  • Team leads can evaluate the effectiveness of their testing methods and approach. In this way, they can prepare well for the upcoming release cycle.
  • QA metrics give insights into normal software behavior. So, QA engineers can learn domain bugs and patterns that may arise in similar products.
  • It helps project managers and product owners to better understand the working of QA. Also, to what extent are they succeeding to get their needed quality.

We must not forget that, out of context, metrics are nothing more than just numbers. We should consider the company’s processes, project specifications, and expected delivery. It will help us to evaluate the performance of a team well.

software testing

List Of 7 QA Metrics To Improve Software Testing

We have compiled 7 general categories of QA metrics along with specific metrics. Let us have a look at them:

1. Test Coverage:

It helps you to identify the areas of the application that you need to test. We may think that the quality of a test is good. This metric helps to identify which software parts have known and unknown level of defects. 

Specific metrics in this group are:

  • Requirements Coverage Percentage
  • Test Cases by Requirement Category
  • Unit Test Coverage
  • Integration and API test coverage
  • UI Test Coverage
  • Manual or Exploratory Test Coverage
  • Test Execution Coverage Percentage
  • Defects Per Requirement
  • Requirements Without Test Coverage (Requirement Defect Density)

2. Test Tracking And Efficiency

It shows the usefulness of tests to detect the relevant defects.

Specific metrics in this group are:

  • Percent of Passed/Failed Test Cases
  • Percent of Defects Accepted/Rejected/Deferred
  • Percent of Critical Defects of all Defects
  • Average Time Needed To Repair Defects For Development Team
  • Blocked Test Cases Percentage
  • Fixed Defects Percentage

3. Test Effort

It helps to understand basic facts about your testing attempt. It can help you to establish standards for test planning in the future. 

Specific metrics in this group are:

  • Number of Tests Run Per Time Period
  • Number Of Defects per Test Hour Or Bugs Find Rate 
  • Average Time to Test a Bug Fix
  • Test Design Efficiency
  • Test Review Efficiency
  • Number Of Bugs Per Test
  • Average Time To Test A Bug Fix

4. Defect Distribution

It helps you to identify which part of the process or software is more affected. In this way, you will get an idea about where to focus your testing efforts.

Specific metrics in this group are:

  • Defect distribution by cause
  • Defect distribution by module/Functional area
  • Defect distribution by Severity
  • Defect distribution by Priority
  • Defect distribution by type
  • Defect distribution by tester (or tester type) – Dev, QA, UAT, or End-User
  • Defect distribution by test type-Review, walkthrough, test execution, exploration, etc.
  • Defect distribution by Platform/Environment

Some teams may measure defect distribution per each build. While some may measure defect distribution at the end of every test cycle. Test distribution over time helps us know if the defected categories are the same, better, or worse.

Specific metrics in this group are:

  • Defect Distribution over time by Cause
  • Defect Distribution over time by Module
  • Defect Distribution over time by Severity
  • Defect Distribution over time by Platform

5. Test Execution:

Test execution measures the test activity to tell how many tests were conducted. It also highlights the number of tests classified as:

  • Passed
  • Failed
  • Blocked
  • Incomplete
  • Unexecuted 

Test execution is easy to visualize so that the testing team can understand. Specific metrics in this group are:

  • Test Execution Status
  • Test Run Results
  • Test Results by Day
  • Test Execution Tracking and Defect Find Rate Tracking

6. Regression

Making changes in the software can add new features but also:

  • Introduce new defects
  • Reduce application stability
  • Jeopardize quality

It helps to understand the effectiveness of the change to address user concerns. Also, without damaging the current UX of the software.

Specific metrics in this group are:

  • Defect Injection Rate
  • Defects Per Build
  • Defects Per Release
  • Defects Per Version.

7. Test Team Metrics

Test Team metrics measure the allocation of test work to the team and the test results. Industry experts advise not to use these metrics to set testers against each other. They suggest using these metrics to assess learnings within units and progress.

Specific metrics in this group are:

  • Distribution Of Defects Discovered
  • Distribution Of Defects Returned Per Team Member
  • Distribution Of Open Defects For Retest Per Test Team Member
  • Test Cases Allocated Per Team Member
  • Test Cases Executed By Team Member

8. Test Economics Metrics

It helps to test the results per tool, staff, and infrastructure applied in testing. We can use these metrics to plan budgets for testing and evaluate its ROI.

Specific metrics in this group are:

  • Total Allocated Cost of Testing
  • Actual Cost Of Testing
  • Cost per Bug Fix
  • Cost Of Not Testing
  • Testing Budget Variance
  • Testing Schedule Variance

Join QA Training In Chicago To Get QA Software Testing Training

QA Training In Chicago offers a variety of QA and BA certificate training to its candidates. Among them, QA software testing training is one of the best training recommendations for you. The QA software testing training program is designed for beginners. This program helps you to become a well-trained and skilled IT professional. It will polish your skillset for this ever-changing field. 

It includes everything you need to know to become a QA Software Testing professional. This course is designed by industry experts to help you learn new and in-demand tools. The course starts from the basics of QA software testing and moves towards advanced topics. The QA Software Testing Training will include:

  • Software configuration management
  • Creating a test plan
  • Test estimations

And much more, along with an introduction to automation and manual testing. You will also learn about the test management tools such as:

  • QTP
  • QC
  • JIRA
  • Bugzilla

After obtaining this certificate, you can work on manual and automation testing tools. Upon completion of this training, you will be able to get many related job positions in different companies.