2. Introduction
Metrics collected during various phases of testing has been described
for the different phases in the following slides.
1) Requirement Phase
2) Test Design Phase
3) Test Execution Phase
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4. Requirement Phase
Formula:
(Total number of Original Requirements +
Cumulative number of requirements changed (till date) + Cumulative
number of requirements added (till date) + Cumulative number of
requirements deleted (till date)) / (Total number of Original
Requirements)
Description:
This metric is calculated taking added, deleted, changed requirements into
consideration.
This helps to identify the exact requirements that are required for further
design activities.
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5. Requirement Stability Index
Formula: (based on Effort)
((Estimated Effort for the completed/ongoing stages) / (Estimated Effort
for the completed/ongoing stages - Effort Estimated for Changes till
that stage)))
Description:
This metric is used to calculate the Requirement stability index based on
the effort spent on the requirement analysis
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6. Requirements Leakage Index
Formula:
(No. of missed Requirements / No. of Initial Requirements)
Description:
This metric helps to identify the requirements that have possibly
been missed out during the requirement analysis phase.
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8. Test Case Preparation Productivity
Formula:
(No of Test Cases /scripts) / (Effort spent for Test Case/Script
Preparation)
Description:
Test case preparation productivity is used to calculate the number of test
cases prepared and the effort spent for the same.
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10. Test Case Pass Percentage
Formula:
(Total Number of test cases or scripts executed and passed / Total
Number of test cases or scripts prepared)*100
Description:
The metric calculates the test case pass percentage which helps to
determine the functional coverage of the business components
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11. Test Case Execution Percentage
Formula:
(Total number of test cases or scripts executed/Total number of test
cases or scripts prepared)*100
Description:
The metric calculates the test case execution percentage, from which
the execution efficiency can be measured
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12. Defect Summary
• Description:
Defect summary gives the status of the defects, whether it falls in the
following categories: Submitted (New/Open), Re/Assigned, Fixed,
Verified, Closed, Rejected, Duplicate, Deferred.
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13. Defect Discovery Rate
Formula:
Total number of defects found in application /Number of test cases or
scripts executed.
Description:
This metric is useful to calculate the rate of identifying defects based
on the test cases executed. This metric helps to evaluate the efficiency
of the team in identifying the defects.
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14. Defect Severity
Description:
Defect Severity helps to classify the defects based on the following
categories:
Critical, Serious, Important, Non Critical, Out Of Scope.
Defects are given importance based on the severity. For example,
Critical and Serious defects has to be given immediate attention , so
that these defects does not affect the business functionalities.
Module wise severity is also calculated which gives the defect severity
for each module.
i.e., System Crash is a Critical Defect (Severity 1)
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15. Defect Density
Description:
This metric shows the defect population in each module. Based on this
metric, attention is paid to the module which has more defects as well
as high defect density percentage.
This metric also helps to compare the defects spread across all
modules and take necessary action accordingly.
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16. Defect Rejection Ratio
Formula:
(Defects Rejected/Defects Raised)*100
Description:
This metric is used to calculate the percentage of defects that has been
rejected among the overall defects raised. Defects have to be verified
and analyzed before logging to avoid high rejection ratio.
Notes:
We should not consider the defects those are rejected due to Business
reasons, or sometime rejection happens as the Business seeing no
scope to fix it, or Browser Issue, Cancelled, Out of Scope,
Region Issue, etc.
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