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Different Software Quality Metrics used by Expert Test Managers
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Different Software Quality Metrics used by Expert Test Managers

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Different Software Quality Metrics used by Expert Test Managers

Article by: Kushal Kar & Swastika Nandi - Guest Publishers of the article.

Software Metric is a generic name for the measure of Quality of the Software Product. Software Metric can be a reflection on the status under software development cycle or some results etc.

A good project manager is the one who applies the principles of metrics to plan, organize & control the project deliverables in quantifiable / measurable terms.

Some of the software metrics extensively used by ISTQB certified expert testing managers are described below.

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Sr.

Description of Metric

How to Measure (Formulae)

1

Test Coverage

Number of units (KLOC/FP) tested / total size of the system

2

Quality of Testing

No. of defects found during Testing/(No. of defects found during testing + No of acceptance defects found after delivery) *100

3

Effort Variance

{(Actual Efforts-Estimated Efforts) / Estimated Efforts} *100

4

Schedule Variance

{(Actual Duration - Estimated Duration)/Estimated Duration} *100

5

Test Effectiveness

t/(t+UAT)

Explanation: Here "t" is the total number of defects reported during the testing, whereas UAT, means the total number of defects that are reported during the user acceptance testing.

6

Defect Density

No of Defects / Size (FP or KLOC)

Explanation: Here FP = Function Points

7

Weighted Defect Density

(5*Count of fatal defects)+(3*Count of Major defects)+(1*Count of minor defects)

Explanation:
Here 5,3,1 corresponds to the severity of the detect

8

Schedule Slippage

(Actual End date - Estimated End date) / (Planned End Date – Planned Start Date) * 100

9

Rework Effort Ratio

(Actual review effort spent in that particular phase / Total actual efforts spent in that phase) * 100

10

Requirement Stability Index

{1 - (Total number of changes /number of initial requirements)}

11

Requirement Creep

(Total Number of requirements added/Number of initial requirements) * 100

12

Correctness

Defects / KLOC or

Defects / Function points

13

Maintainability

MTTC (Mean time to change) -- Once error is found, how much time it takes to fix it in production.

14

Integrity

Integrity = Summation [(1 - threat) X (1 - security)]

15

Usability

User questionnaire survey results will give an indication of the same.

Comment: How easy it’s for the users to use the system and how fast they are able to learn operating the system.

16

CSAT – Customer Satisfaction Index

Call volume to customer service hotline Availability (percentage of time a system is available, versus the time the system is needed to be available)

17

Reliability

# Mean time between failures (MTBF) - Total operating time divided by the number of failures. MTBF is the inverse of failure rate.

# Mean time to repair (MTTR) - Total elapsed time from initial failure to the reinitiating of system status. Mean Time To Restore includes Mean Time To Repair (MTBF + MTTR = 1.)

# Reliability ratio = (MTBF / MTTR)

Explanation: Reliability is the probability that an item will perform a required function under stated conditions for a stated period of time. The probability of survival, R(t), plus the probability of failure, F(t), is always unity. Expressed as a formula : F(t) + R(t) = 1 or, F(t)=1 - R(t).

# Mean time between failure (MTBF)

# Mean time to repair (MTTR)

# Reliability ratio (MTBF / MTTR)

18

Defect Ratios

# Defects found after product delivery per function point.

# Defects found after product delivery per LOC

# Pre-delivery defects: annual post-delivery defects

# Defects per function point of the system modifications

19

Number of Tests per Unit Size

Number of test cases per KLOC/FP

20

Acceptance Criteria Tested

Acceptance criteria tested / total acceptance criteria

21

Defects Per Size

Defects detected / system size

22

Testing Cost

Cost of testing / total cost *100

23

Cost to locate defect

Cost of testing / the number of defects located

24

Achieving Budget

Actual cost of testing / Budgeted cost of testing

25

Defects detected in testing

Defects detected in testing / total system defects

26

Defects detected in production

Defects detected in production/system size

27

Quality of Testing

No of defects found during Testing/(No of defects found during testing + No of acceptance defects found after delivery) *100

28

Effectiveness of testing to business

= Loss due to problems / total resources processed by the system

29

System complaints

Number of third party complaints / number of transactions processed

30

Scale of Ten

Assessment of testing by giving rating in scale of 1 to 10

31

Source Code Analysis

Number of source code statements changed / total number of tests

32

Test Planning Productivity

No of Test cases designed / Actual Effort for Design and Documentation

33

Test Execution Productivity

No of Test cycles executed / Actual Effort for testing

About the Authors: Kushal Kar & Swastika Nandi – QA Analysts, are the guest publishers of the article & are solely responsible for the ownership of its contents.

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