Page 205 - DCAP305_PRINCIPLES_OF_SOFTWARE_ENGINEERING

Unit 9: Metrics

• In one of the earliest work on information flow metrics, the complexity of a module is Notes
considered as depending on the intramodule complexity and the intermodule complexity.
• Software quality metrics focus on the quality aspects of the product, process, and project.
• Implement the defect arrival metric during the last phase of testing, augmented by a
qualitative indicator of the number of critical problems (or show stoppers) and the nature
of these problems.

• The product is shipped, a natural metric is the number of defects coming in from the field
over time.

• When a product size metric is available, the above metrics can be normalized to form
other metrics such as defect density curves over time, during testing or when the product
is in the field, and overall defect rate of the product, for a specific duration or for the
maintenance life of the product.
• Discussion of a few simple and useful metrics as the beginning of a good metrics practice
is from the quality perspective. For overall project management.

9.5 Keywords

Cohesion Metrics: Metrics can help software developers and managers assess the quality of
software and pinpoint trouble areas in their systems.
Control Flow Graphs: Control flow graphs describe the logic structure of software modules. A
module corresponds to a single function or subroutine in typical languages, has a single entry
and exit point.
Control Flow Paths: Cyclomatic complexity can be characterized as the number of elements of
a basis set of control flow paths through the module.

Cyclomatic Complexity: Cyclomatic complexity is software metric that provides a quantitative
measure of the logical complexity of a program.

Flow Graph Notation: The flow graph depicts logical control flow using a diagrammatic notation.
Each structured construct has a corresponding flow graph symbol.

1. Draw the control flow graph with complexity
2. Solve the problem of cohesion metrics with example.

9.6 Review Questions

1. What are the matrices?
2. Explain the cohesion metrics.

3. How many bugs can be expected?
4. Define control flow with complexity.

5. What do you understand by control flow with complexity 12?

6. Differentiate between control flow with complexity 6 and 12.
7. Discuss about control flow with complexity 17 and 27.

8. What are the network metrics?

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