Always Learning

Metrics and Models in Software Quality Engineering, 2/E
Stephen H. Kan

ISBN-10: 0201729156
ISBN-13:  9780201729153

Publisher:  Addison-Wesley Professional
Copyright:  2003
Format:  Cloth; 560 pp
Published:  09/16/2002
Status: Instock


Customers outside the U.S., click here.


Print this content

In this section:


Table of Contents



Foreword to the Second Edition.


Foreword to the First Edition


Preface.


1. What Is Software Quality?

Quality: Popular Views.

Quality: Professional Views.

The Role of the Customer.

Software Quality.

Total Quality Management.



2. Software Development Process Models.

The Waterfall Development Model.

The Prototyping Approach.

The Spiral Model.

The Iterative Development Process Model.

The Object-Oriented Development Process.

The Cleanroom Methodology.

The Defect Prevention Process.

Process Maturity Framework and Quality Standards.

The SEI Process Capability Maturity Model.

The SPR Assessment.

The Malcolm Baldrige Assessment.

ISO 9000.



3. Fundamentals in Measurement Theory.

Definition, Operational Definition, and Measurement.

Level of Measurement.

Some Basic Measures.

Reliability and Validity.

Measurement Errors.

Assessing Reliability.

Correction for Attenuation.

Be Careful with Correlation.

Criteria for Causality.



4. Software Quality Metrics Overview.

Product Quality Metrics.

The Defect Density Metric.

Customer Problems Metric.

Customer Satisfaction Metrics.

In-Process Quality Metrics.

Defect Density During Machine Testing.

Defect Arrival Pattern During Machine Testing.

Phase-Based Defect Removal Pattern.

Defect Removal Effectiveness.

Metrics for Software Maintenance.

Fix Backlog and Backlog Management Index.

Fix Response Time and Fix Responsiveness.

Percent Delinquent Fixes.

Fix Quality.

Examples of Metrics Programs.

Motorola.

Hewlett-Packard.

IBM Rochester.

Collecting Software Engineering Data.



5. Applying the Seven Basic Quality Tools in Software Development.

Ishikawa's Seven Basic Tools.

Checklist.

Pareto Diagram.

Histogram.

Run Charts.

Scatter Diagram.

Control Chart.

Cause-and-Effect Diagram.

Relations Diagram.



6. Defect Removal Effectiveness.

Literature Review.

A Closer Look at Defect Removal Effectiveness.

Defect Removal Effectiveness and Quality Planning.

Phase-Based Defect Removal Model.

Some Characteristics of a Special Case Two-Phase Model.

Cost Effectiveness of Phase Defect Removal.

Defect Removal Effectiveness and Process Maturity Level.



7. The Rayleigh Model.

Reliability Models.

The Rayleigh Model.

Basic Assumptions.

Implementation.

Reliability and Predictive Validity.



8. Exponential Distribution and Reliability Growth Models.

The Exponential Model.

Reliability Growth Models.

Jelinski-Moranda Model.

Littlewood Models.

Goel-Okumoto Imperfect Debugging Model.

Goel-Okumoto Nonhomogeneous Poisson Process Model.

Musa-Okumoto Logarithmic Poisson Execution Time Model.

The Delayed S and Inflection S Models.

Model Assumptions.

Criteria for Model Evaluation.

Modeling Process.

Test Compression Factor.

Estimating the Distribution of Total Defects Over Time.



9. Quality Management Models.

The Rayleigh Model Framework.

The Code Integration Pattern.

The PTR Submodel.

The PTR Arrival/Backlog Projection Model.

Reliability Growth Models.

Criteria for Model Evaluation.

In-Process Metrics and Reports.

Orthogonal Defect Classification.



10. In-Process Metrics for Software Testing.

In-Process Metrics for Software Testing.

Test Progress S Curve.

Testing Defect Arrivals Over Time.

Testing Defect Backlog Over Time.

Product Size Over Time.

CPU Utilization During Test.

System Crashes and Hangs.

Mean Time to Unplanned IPL.

Critical Problems: Show Stoppers.

In-Process Metrics and Quality Management.

Effort/Outcome Model.

Possible Metrics for Acceptance Testing to Evaluate Vendor-Developed Software.

How Do You Know Your Product Is Good Enough to Ship.



11. Complexity Metrics and Models.

Lines of Code.

Halstead's Software Science.

Cyclomatic Complexity.

Syntactic Constructs.

Structure Metrics.

An Example of Module Design Metrics in Practice.



12. Metrics and Lessons Learned for Object-Oriented Projects.

Object-Oriented Concepts and Constructs.

Design and Complexity Metrics.

Lorenz Metrics and Rules of Thumb.

Some Metrics Examples.

The CK OO Metrics Suite.

Validation Studies and Further Examples.

Productivity Metrics.

Quality and Quality Management Metrics.

Lessons Learned for OO Projects.



13. Availability Metrics.

Definition and Measurements of System Availability.

Reliability, Availability, and Defect Rate.

Collecting Customer Outage Data for Quality Improvement.

In-Process Metrics for Outage and Availability.



14. Measuring and Analyzing Customer Satisfaction.

Customer Satisfaction Surveys.

Methods of Survey Data Collection.

Sampling Methods.

Sample Size.

Analyzing Satisfaction Data.

Specific Attributes and Overall Satisfaction.

Satisfaction with Company.

How Good Is Good Enough?



15. Conducting In-Process Quality Assessments.

The Preparation Phase.

What Data Should I Look At?

Don't Overlook Qualitative Data

The Evaluation Phase.

Quantitative Data

Qualitative Data

Evaluation Criteria

The Summarization Phase.

Summarization Strategy.

The Overall Assessment

Recommendations and Risk Mitigation.



16. Conducting Software Project Assessments.

Audit and Assessment.

Software Process Maturity Assessment and Software Project Assessment.

Software Process Assessment Cycle.

A Proposed Software Project Assessment Method.

Preparation Phase.

Facts Gathering Phase 1.

Questionnaire Customization and Finalization.

Facts Gathering Phase.

Possible Improvement Opportunities and Recommendations.

Team Discussions of Assessment Results and Recommendations.

Assessment Report.

Summary.



17. Dos and Don'ts of Software Process Improvement.

Measuring Process Maturity.

Measuring Process Capability.

Staged versus Continuous--Debating Religion.

Measuring Levels Is Not Enough.

Establishing the Alignment Principle.

Take Time Getting Faster.

Keep It Simple—or Face Decomplexification.

Measuring the Value of Process Improvement.

Measuring Process Adoption.

Measuring Process Compliance.

Celebrate the Journey, Not Just the Destination.



18. Using Function Point Metrics to Measure Software Process Improvement.

Software Process Improvement Sequences.

Stage 0: Software Process Assessment and Baseline.

Stage 1: Focus on Management Technologies.

Stage 2: Focus on Software Processes and Methodologies.

Stage 3: Focus on New Tools and Approaches.

Stage 4: Focus on Infrastructure and Specialization.

Stage 5: Focus on Reusability.

Stage 6: Focus on Industry Leadership.

Process Improvement Economics.

Measuring Process Improvements at Activity Levels.



19. Concluding Remarks.

Data Quality Control.

Getting Started with a Software Metrics Program.

Software Quality Engineering Modeling.

Statistical Process Control in Software Development.

Measurement and the Future.



Appendix: A Project Assessment Questionnaire


Index. 0201729156T09052002.



Back to top

Print this content

In this section:


Sample Chapter

View a Sample Chapter PDF:/samplechapter/0201729156.pdf


Author Bios

Stephen H. Kan is Senior Technical Staff Member (STSM) and a technical manager in programming for IBM in Rochester, Minnesota. As process manager of the quality management process in product development for IBM's eServer iSeries software development, his responsibilities include quality goal setting, supplier quality requirements, quality plans, in-process metrics, field quality status, and quality and project assessments. Dr. Kan has been a faculty member of the Master of Science in Software Engineering program at the University of Minnesota since 1998. He is certified by the American Society for Quality as a Quality Engineer, a Reliability Engineer, and a Quality Manager, and by the Project Management Institute as a Project Management Professional.



0201729156AB08212002


Backcover Copy

"This is the single best book on software quality engineering and metrics that I've encountered."
--Capers Jones, from the Foreword

Metrics and Models in Software Quality Engineering, Second Edition, is the definitive book on this essential topic of software development. Comprehensive in scope with extensive industry examples, it shows how to measure software quality and use measurements to improve the software development process. Four major categories of quality metrics and models are addressed: quality management, software reliability and projection, complexity, and customer view. In addition, the book discusses the fundamentals of measurement theory, specific quality metrics and tools, and methods for applying metrics to the software development process.

New chapters bring coverage of critical topics, including:

  • In-process metrics for software testing
  • Metrics for object-oriented software development
  • Availability metrics
  • Methods for conducting in-process quality assessments and software project assessments
  • Dos and Don'ts of Software Process Improvement, by Patrick O'Toole
  • Using Function Point Metrics to Measure Software Process Improvement, by Capers Jones

In addition to the excellent balance of theory, techniques, and examples, this book is highly instructive and practical, covering one of the most important topics in software development--quality engineering.



0201729156B08282002

Back to top

Log in to the Instructor Resource Center

Login name: 

  Password: 

Forgot login/password?  |  Need to redeem an access code?

        

Instructor Resource Center File Download

This work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. Dissemination or sale of any part of this work (including on the World Wide Web) will destroy the integrity of the work and is not permitted. The work and materials from this site should never be made available to students except by instructors using the accompanying text in their classes. All recipients of this work are expected to abide by these restrictions and to honor the intended pedagogical purposes and the needs of other instructors who rely on these materials.

Cancel     I accept, proceed with download

Print this content

Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students contact your Pearson Higher Education representative.

Back to top