SOFTWARE QUALITY METRICS

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SOFTWARE QUALITY METRICS

for

Object Oriented

System Environments

SATC-TR-95-1001

JUNE 1995

National Aeronautics and Space Administration

Goddard Space Flight Center, Greenbelt Maryland 20771

Software

Assurance

Technology

Center

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TABLE OF CONTENTS

I. Introduction

II. Metrics Overview

III. Object-Oriented Overview

IV. Metrics for Object-Oriented Systems

A. Metric Evaluation Criteria

B. Traditional Metrics for Object-Oriented Systems

1. Methods

Metric 1: Cyclomatic Complexity

Metric 2: Lines of Code

C. Object-Oriented Specific Metrics

1. Classes

a. Methods

Metric 3: Weighted Methods per Class (WMC)

b. Messages

Metric 4: Response for a Class (RFC)

c. Cohesion

Metric 5: Lack of Cohesion of Methods (LCOM)

d. Coupling

Metric 6: Coupling Between Object Classes (CBO)

2. Inheritance

Metric 7: Depth of Inheritance Tree (DIT)

Metric 8: Number of Children (NOC)

D. Example

E. Summary

1. Metric Summary

2. COTS for Recommended Object-Oriented Metrics

V. Conclusions

Appendix A: Comprehensive Listing of Object-Oriented Metrics

Appendix B: Object-Oriented Detailed Discussion

1. Object

a. States/Attributes

b. Operations

c. Object Example

2. Class

3. Inheritance

4. Messages

5. Cohesion

6. Polymorphism

7. Object-Oriented Languages

8. Terminology

Appendix C: Cots Packages

Appendix D: Object-Oriented References

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TABLES

Table 1: SATC Metrics for Object-oriented Systems

Table 2: Key Object-Oriented Definitions

Table 3: Summary of Recommended Object-Oriented Metrics

Table 4: Object-Oriented Metrics Supported by COTS

FIGURES

Figure 1: Pictorial Description of Key Object-Oriented Terms

Figure 2: Geometric Classes with Attribute, Operations and Methods

Figure 3: Pseudocode for Perimeter of an Equilateral Triangle

Figure 4: Notation of an Object

Figure 5: Sample Object

Figure 6: Conceptual View

Figure 7: Class with Objects

Figure 8: Inheritance Network

Figure 9: Message Passing

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Software Quality Metrics for Object-Oriented System Environments

I. INTRODUCTION

Object-oriented analysis and design are popular concepts in today’s software development environment. They

are often heralded as the silver bullet for solving software problems,; while in reality there is no silver bullet,

object-oriented has proved its value for systems that must be maintained and modified. Object-oriented

software development requires a different approach from more traditional functional decomposition and data

flow development methods. While the functional and data analysis approaches commence by considering the

systems behavior and/or data separately; object-oriented analysis approaches the problem by looking or system

entities that combine them. Object-oriented analysis and design focuses on objects as the primary agents

involved in a computation; each class of data and related operations are collected into a single system entity.

The concepts of software metrics are well established, and many metrics relating to product quality have been

developed and used. The SATC applies a model for evaluating software quality that has four goals:

(1) Stability of Requirements and Design, (2) Product Quality, (3) Testing Effectively, and

(4) Implementation Effectively. With object-oriented analysis and design methodologies gaining popularity, it

is time to start investigating object-oriented metrics with respect to these goals. We are interested in the

answer to the following questions:

· What concepts and structures in object-oriented affect the quality of the software?

· Can traditional metrics measure the critical object-oriented structures?

·

...