Base metrics is the raw data collected by Test Analyst during the test case development and execution of test cases executed, of test cases. While calculated metrics are derived from the data collected in base metrics. To understand how to calculate the test metrics, we will see an example of a percentage test case executed. Likewise, you can calculate for other parameters like test cases not executed, test cases passed, test cases failed, test cases blocked, etc.
Skip to content. Software Testing Metrics. Project Metrics: It can be used to measure the efficiency of a project team or any testing tools being used by the team members. Different stages of Metrics life cycle Steps during each stage Analysis Identification of the Metrics Define the identified QA Metrics Communicate Explain the need for metric to stakeholder and testing team Educate the testing team about the data points to need to be captured for processing the metric Evaluation Capture and verify the data Calculating the metrics value using the data captured Report Develop the report with an effective conclusion Distribute the report to the stakeholder and respective representative Take feedback from stakeholder.
Sr Steps to test metrics Example 1 Identify the key software testing processes to be measured Testing progress tracking process 2 In this Step, the tester uses the data as a baseline to define the metrics The number of test cases planned to be executed per day 3 Determination of the information to be followed, a frequency of tracking and the person responsible The actual test execution per day will be captured by the test manager at the end of the day 4 Effective calculation, management, and interpretation of the defined metrics The actual test cases executed per day 5 Identify the areas of improvement depending on the interpretation of defined metrics The Test Case execution falls below the goal set, we need to investigate the reason and suggest the improvement measures.
Table of Contents. Improve Article. Save Article. Like Article. Last Updated : 12 Jan, Next Economic Policies of the British in India. Recommended Articles. Article Contributed By :. Easy Normal Medium Hard Expert.
Writing code in comment? Please use ide. Load Comments. What's New. You are subscribing to email updates. Unsubscribe anytime. Your data is safe. Post navigation Previous Previous. Next Continue. Similar Posts. Here are another simple metric — how many test cases failed in a given period? It is important to note which type of failures these are and carry out an ad-hoc investigation with each failure detected.
The three main types of failures are as follows:. You might have heard of Test Blockers. It is a test case that fails to execute because of some condition for example, missing user rights.
When such a test case fails, all the following cases are blocked from execution. This metric counts the number of such cases. It is important to note here that a lot of different metrics can be derived from this one.
For example, the number of test cases blocked because of missing documents if you use dynamic execution or the number of test cases that were blocked in a certain period due to a specific bug. This metric represents the number of bugs that were found, divided by the total number of test cases equivalently: failed test cases. The higher the ratio, the better. This is the total number of bugs that were fixed during a given period, divided by the total number of issues found in this same period.
This metric is a bit more complex. In order to calculate it, you need to find the number of defects per unit of functionality for example, per function. It is important to note that this value can be presented in different ways:. Defect Leakage is another metric that can give you insights into the efficiency of your development process.
0コメント