What is Defect Density? Formula to calculate with Example
What is Defect Density?
Defect Density is the number of defects confirmed in software/module during a specific period of operation or development divided by the size of the software/module. It enables one to decide if a piece of software is ready to be released.
Defect density is counted per thousand lines of code also known as KLOC.
How to calculate Defect Density
A formula to measure Defect Density:
Defect Density = Defect count/size of the release
Size of release can be measured in terms of a line of code (LoC).
Defect Density Example
Suppose, you have 3 modules integrated into your software product. Each module has the following number of bugs discovered-
- Module 1 = 10 bugs
- Module 2 = 20 bugs
- Module 3 = 10 bugs
Total bugs = 10+20+10 =40
The total line of code for each module is
- Module 1 = 1000 LOC
- Module 2 = 1500 LOC
- Module 3 = 500 LOC
Total Line of Code = 1000+1500+500 = 3000
Defect Density is calculated as:
Defect Density = 40/3000 = 0.013333 defects/loc = 13.333 defects/Kloc
A standard for defect density
However, there is no fixed standard for bug density, studies suggest that one Defect per thousand lines of code is generally considered as a sign of good project quality.
Factors that affect the defect density metrics
- Code complexity
- The type of defects taken into account for the calculation
- Time duration which is considered for Defect density calculation
- Developer or Tester skills
Advantages of defect density
- It helps to measure the testing effectiveness
- It helps to differentiate defects in components/software modules
- It is useful in identifying the areas for correction or improvement
- It is useful in pointing towards high-risk components
- It helps in identifying the training needs to various resources
- It can be helpful in estimating the testing and rework due to bugs
- It can estimate the remaining defects in the software
- Before the release, we can determine whether our testing is sufficient
- We can ensure a database with a standard defect density