Trustworthy Systems Through Quantitative Software Engineering / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $15.84
Usually ships in 1-2 business days
(Save 89%)
Other sellers (Hardcover)
  • All (5) from $15.84   
  • New (2) from $116.06   
  • Used (3) from $15.84   
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any coupons and promotions
Seller since 2006

Feedback rating:



New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

Very Good
Former Library book. Great condition for a used book! Minimal wear. 100% Money Back Guarantee. Shipped to over one million happy customers. Your purchase benefits world literacy!

Ships from: Mishawaka, IN

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
Seller since 2005

Feedback rating:


Condition: Very Good
2005-10-19 Hardcover Very Good Clean, unmarked pages, minor wear to cover.

Ships from: Hoboken, NJ

Usually ships in 1-2 business days

  • Canadian
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
Seller since 2008

Feedback rating:


Condition: New
New Book. Shipped from UK within 4 to 14 business days. Established seller since 2000.

Ships from: Horcott Rd, Fairford, United Kingdom

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
Seller since 2008

Feedback rating:


Condition: New
Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.

Ships from: Westminster, MD

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
Seller since 2008

Feedback rating:


Condition: Like New
Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.

Ships from: Westminster, MD

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing All
Sort by


A benchmark text on software development and quantitative software engineering

"We all trust software. All too frequently, this trust is misplaced. Larry Bernstein has created and applied quantitative techniques to develop trustworthy software systems. He and C. M. Yuhas have organized this quantitative experience into a book of great value to make software trustworthy for all of us."
-Barry Boehm

Trustworthy Systems Through Quantitative Software Engineering proposes a novel, reliability-driven software engineering approach, and discusses human factors in software engineering and how these affect team dynamics. This practical approach gives software engineering students and professionals a solid foundation in problem analysis, allowing them to meet customers' changing needs by tailoring their projects to meet specific challenges, and complete projects on schedule and within budget.

Specifically, it helps developers identify customer requirements, develop software designs, manage a software development team, and evaluate software products to customer specifications. Students learn "magic numbers of software engineering," rules of thumb that show how to simplify architecture, design, and implementation.

Case histories and exercises clearly present successful software engineers' experiences and illustrate potential problems, results, and trade-offs. Also featuring an accompanying Web site with additional and related material, Trustworthy Systems Through Quantitative Software Engineering is a hands-on, project-oriented resource for upper-level software and computer science students, engineers, professional developers, managers, and professionals involved in software engineering projects.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

An Instructor Support FTP site is also available.

Read More Show Less

Editorial Reviews

From the Publisher
"In a study, the book was found to be successful at significantly increasing the students' willingness and competency in using good software engineering processes." (Computing, May 10, 2006)

"…the book is an excellent and very readable guide to the development of reliable software, augmented with humor, case studies, useful tidbits…highly recommended for all software engineers." (CHOICE, March 2006)

Read More Show Less

Product Details

  • ISBN-13: 9780471696919
  • Publisher: Wiley
  • Publication date: 10/5/2005
  • Series: Quantitative Software Engineering Series , #1
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 464
  • Product dimensions: 6.44 (w) x 9.35 (h) x 1.10 (d)

Meet the Author

LAWRENCE BERNSTEIN is the Series Editor for the Quantitative Software Engineering Series, published by Wiley. Professor Bernstein is currently Industry Research Professor at the Stevens Institute of Technology. He previously pursued a distinguished executive career at Bell Laboratories. He is a Fellow of IEEE and ACM.

C. M. YUHAS is a freelance writer who has published articles on network management in the IEEE Journal on Selected Areas in Communication and IEEE Network. She has a BA in English from Douglass College and an MA in communications from New York University.

Read More Show Less

Table of Contents




1. Think Like an Engineer—Especially for Software.

1.1 Making a Judgment.

1.2 The Software Engineer's Responsibilities.

1.3 Ethics.

1.4 Software Development Processes.

1.5 Choosing a Process.

1.5.1 No-Method "Code and Fix" Approach.

1.5.2 Waterfall Method.

1.5.3 Spiral Method: Planned Risk Assessment-Driven Process.

1.5.4 Development Plan Approach.

1.5.5 Planned Incremental Development Process.

1.5.6 Agile Process, a Apparent Oxymoron.

1.6 Re-emergence of Model-Based Software Development.

1.7 Process Evolution.

1.8 Organization Structure.

1.9 Principles of Sound Organizations.

1.10 Short Projects-4 to 6 Weeks.

1.10.1 Project 1: Automating Library Overdue Book Notices.

1.10.2 Project 2: Ajax Transporters, Inc. Maintenance Project.

1.11 Problems.

2. People, Process, Product, Project-The Big Four.

2.1 People: Cultivate the Guru and Support the Majority.

2.1.1   How to Recognize a Guru.

2.1.2 How to Attract a Guru to Your Project.

2.1.3 How to Keep Your Gurus Working.

2.1.4 How to Support the Majority.

2.2 Product: "Buy Me!".

2.2.1 Reliable Software Products.

2.2.2 Useful Software Products.

2.2.3 Good User Experience.

2.3.Process: "OK, How Will We Build This?".

2.3.1 Agile Processes.

2.3.2 Object Oriented Opportunities.

2.3.3 Meaningful Metrics.

2.4 Project: Making It Work.

2.5 Problems.

2.6 Case Studies.


3. Software Requirements.

3.1 What Can Go Wrong With Requirements.

3.2 The Formal Processes.

3.3 Robust Requirements.

3.4 Requirements Synthesis.

3.5 Requirements Specification.

3.6 Quantitative Software Engineering Gates.

3.7 SQFD Technology.

3.8 ICED-T Metrics.

3.8.1 ICED-T Insights.

3.8.2 Using the ICED-T Model.

3.9 Development Sizing and Scheduling with Function Points.

3.9.1 Function Point Analysis Experience.

3.9.2 NCSLOC vs Function Points.

3.9.3 Computing Simplified Function Points (sFP).

3.10 Case Study: The Case of the No-Show Service.

3.11 Problems.

4. Prototyping.

4.1 Make It Work; Then Make It Work Right.

4.1.1 How to Get at the Governing Requirements.

4.1.2 Rapid Application Prototype.

4.1.3 What's Soft is Hard.

4.2 So What Happens Monday Morning?.

4.2.1 What Needs to Be Prototyped?.

4.2.2 How Do You Build a Prototype?.

4.2.3 How Is the Prototype Used?.

4.2.4 What Happens to the Prototype?.

4.3 It Works, But Will It Continue to Work?.

4.4 Case Study: The Case of the Driven Development.

4.4.1 Significant Results.

4.4.2 Lessons Learned.

4.4.3 Additional Business Histories.

4.5 Why is Prototyping So Important?.

4.6 Prototyping Deficiencies.

4.7 Iterative Prototyping.

4.8 Case Study: The Case of the Famished Fish.

4.9 Problems.

5. Architecture.

5.1 Architecture Is a System's DNA.

5.2 Pity the Poor System Administrator.

5.3 Software Architecture Experience.

5.4 Process and Model.

5.5 Components.

5.5.1 Components as COTS.

5.5.2 Encapsulation and Abstraction.

5.5.3 Ready or Not, Objects Are Here.

5.6 UNIX.

5.7 TL1.

5.7.1 Mission.

5.7.2 Comparative Analysis.

5.7.3 Message Formatting.

5.7.4 TL1 Message Formulation.

5.7.5 Industry Support of TL1.

5.8 Documenting the Architecture.

5.8.1 Diary or Log Document.

5.8.2 Debriefing Document.

5.8.3 Users of Architecture Documentation.

5.9 Architecture Reviews.

5.10 Middleware.

5.11 How Many Times Before We Learn?.

5.11.1 Comair Cancels 1,100 Flights on Christmas 2004.

5.11.2 Air Traffic Shutdown in September 2004.

5.11.3 NASA Misses Mars, 2004.

5.11.4 Case Study: The Case of the Preempted Priorities.

5.12 Financial Systems Architecture.

5.12.1 Typical Business Processes.

5.12.2 Product-Related Layer in the Architecture.

5.12.3 Finding Simple Components.

5.13 Design and Architectural Process.

5.14 Problems.

6. Estimation, Planning and Investment.

6.1 Software Size Estimation.

6.1.1 Pitfalls and Pratfalls.

6.1.2 Software Size Metrics.

6.2 Function Points.

6.2.1 Fundamentals of Function Point Analysis.

6.2.2 Brief History.

6.2.3 Objectives of Function Point Analysis.

6.2.4 Characteristics of Quality Function Point Analysis.

6.3 Five Major Elements of Function Point Counting.

6.3.1 External Input (EI).

6.3.2 External Output (EO).

6.3.3 External Inquiry EQ).

6.3.4 Internal Logical File (ILF).

6.3.5 External Interface Files (EIF).

6.4 Each Element Can Be Simple, Average or Complex.

6.5 Sizing an Automation Project with FPA.

6.5.1 Advantages of Function Point Measurement.

6.5.2 Disadvantages of Function Point Measurement.

6.5.3 Results Common to FPA.

6.5.4 FPA Accuracy.

6.6 SLOC Metric.

6.6.1 Company Statistics.

6.6.2 Reuse.

6.6.3 Wide Band Delphi.

6.6.4 Disadvantages of SLOC.

6.7 Production Planning.

6.7.1 Productivity.

6.7.2 Mediating Culture.

6.7.3 Customer Relations.

6.7.4 Centralized Support Functions.

6.8 Investment.

6.8.1 Cost Estimation Models.

6.8.2 COCOMO.

6.8.3 Scheduling Tools-PERT, Gantt.

6.8.4 Project Manager's Job.

6.9 Problems.

7. Design for Trustworthiness.

7.1 Built-in Trustworthiness.

7.2 Software Reliability Overview.

7.3 Design Reviews.

7.3.1 Topics for the Design Review.

7.3.2 Case Study.

7.3.3 Interfaces.

7.3.4 Software Structure Influences Reliability.

7.3.5 Components.

7.3.6 Open & Closed Principle.

7.3.7 The Liskov Substitution Principle.

7.3.8 Comparing Object Oriented Programming with Componentry.

7.3.9 Politics of Reuse. Qualified Successes. Conditions Fostering Reuse. Reuse "As Is".

7.4 Design Principles.

7.4.1 Strong Cohesion.

7.4.2 Weak Coupling.

7.4.3 Information Hiding.

7.4.4 Inheritance.

7.4.5 Generalization/Abstraction.

7.4.6 Separation of Concerns.

7.4.7 Removal of Context.

7.5 Documentation.

7.6 Design Constraints That Make Software Trustworthy.

7.6.1 Simplify the Design.

7.6.2 Software Fault Tolerance.

7.6.3 Software Rejuvenation.

7.6.4 Hire Good People and Keep Them.

7.6.5 Limit the Language Features Used.

7.6.6 Limit Module Size and Initialize Memory.

7.6.7 Check the Design Stability.

7.6.8 Bound the Execution Domain.

7.6.9 Have Performance Budgets and Engineer.

7.6.10 Reduce Algorithm Complexity.

7.6.11 Factor and Refactor.

7.7 Problems.


8. Identifying and Managing Risk.

8.1 Undesirable Events.

8.2 Risk Management Paradigm.

8.3 Functions of Risk Management.

8.4 Risk Analysis.

8.5 Calculating Risk.

8.6 Using Risk Assessment in Project Development: The Spiral Method.

8.7 Containing Risks.

8.7.1 Incomplete and Fuzzy Requirements.

8.7.2 Schedule Too Short.

8.7.3 Not Enough Staff.

8.7.4 Morale of Key Staff Is Poor.

8.7.5 Stakeholders Are Losing Interest.

8.7.6 Untrustworthy Design.

8.7.7 Feature Set Is Not Economically Viable.

8.7.8 Feature Set Is Too Large.

8.7.9 Technology Is Immature.

8.7.10 Late Planned Deliveries of Hardware and Operating System.

8.8 Manage the Cost Risk to Avoid Outsourcing.

8.8.1 Technology Selection.

8.8.2 Tools.

8.8.3 Software Manufacturing.

8.8.4 Integration, Reliability and Stress Testing.

8.8.5 Computer Facilities.

8.8.6 Human Interaction Design and Documentation.

8.9 Software Project Management Audits.

8.10 Running an Audit.

8.11 Risks with Risk Management.

8.12 Problems.

9. Human Factors in Software Engineering.

9.1 A Click in the Right Direction.

9.2 Managing Things, Managing People.

9.2.1 Knowledge Workers.

9.2.2 Collaborative Management.

9.3 FAA Rationale for Human Factors Design.

9.4 Reach Out and Touch Something.

9.5 System Effectiveness in Human Factors Terms.

9.5.1 What to Look for in COTS.

9.5.2 Simple Guidelines for Managing Development.

9.6 How Much Should the System Do?.

9.6.1 Screen Icon Design.

9.6.2 Short- and Long-Term Memory.

9.7 Emerging Technology.

9.8 Pleasing the Client by Pleasing the Developers.

9.9 The Bell Laboratories Philosophy.

9.10 So You Want to Be a Manager.

9.11 Problems.

10. Implementation Details.

10.1   Structured Programming.

10.2   Rational Unified Process and Unified Modeling Language.

10.3   Measuring Complexity.

10.4   Coding Styles.

10.4.1 Data Structures.

10.4.2 Team Coding.

10.4.3 Code Reading.

10.4.4 Code Review.

10.4.5 Code Inspections.

10.5   A Must Read for Trustworth Software Engineers.

10.6   Coding for Parallelism.

10.7   Threats.

10.8   Open Source Software.

10.9   Problems.

11. Testing, Manufacturing and Configuration Management.

11.1 The Price of Quality.

11.1.1 Unit Testing.

11.1.2 Integration Testing.

11.1.3 System Testing.

11.1.4 Reliability Testing.

11.1.5 Stress Testing.

11.2 Robust Testing.

11.2.1 Robust Design.

11.2.2 Prototypes.

11.2.3 Identify Expected Results.

11.2.4 Orthogonal Array Test Sets (OATS).

11.3 Testing Techniques.

11.3.1 One-Factor-at-a-Time.

11.3.2 Exhaustive.

11.3.3 Deductive Analytical Method.

11.3.4 Random/Intuitive Method.

11.3.5 Orthogonal Array-Based.

11.3.6 Defect Analysis.

11.4 Case Study: Web Time Charging System (TCS).

11.5 Cooperative Testing.

11.6 Graphic Footprint.

11.7 Testing Strategy.

11.7.1 Test Incrementally.

11.7.2 Test Under No Load.

11.7.3 Test Under Medium Load.

11.7.4 Test Under Heavy Load.

11.7.5 Test Under Overload.

11.7.6 Test the Error Recovery Code.

11.7.7 Diabolic Testing.

11.7.8 Reliability Tests.

11.7.9 Footprint.


11.7.11 Regression.

11.8 Software Hot Spots.

11.9 Software Manufacturing Defined.

11.10 Configuration Management.

11.11 Outsourcing.

11.11.1 Test Modules.

11.11.2 Faster Iteration.

11.11.3 Meaningful Test Process Metrics.

11.12 Problems.

12. The Final Project: By Students, For Students.

12.1 How to Make the Course Work for You.

12.2 Sample Call for Projects.

12.3 A Real Student Project.

12.4 The Rest of the Story.

12.5 Our Hope.


Read More Show Less

Customer Reviews

Average Rating 5
( 2 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously
Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted February 27, 2006

    a wonderful text/reference book

    This book is about to deliver trustworthy systems through quantitative software engineering methodologies, which is unfortunately rare to be implemented well in the real world. I believe Professor Bernstein has placed 'trust' as the foremost aspect of this book is a landmark decision and it precisely describes the ultimate goal of software development--to make a system that is trusted by customers. As far as I can tell, all aspects and concerns in software development have been covered and provided with solutions and even real-life examples. The concepts of simplification, trustworthiness, risk assessment, and architecture are stressed. It is fun to read. Each aspect is clearly stated with background, objectives and how to achieve or avoid it. This book is well illustrated with graphs, charts and examples. Quantitative aspects are always easy to be mentioned but hard to be understood and implemented. Following this book, either developers or managers can analyze the project methodically throughout the full life-cycle of the software development to help to improve the system and project performance, especially, as emphasized in this book, at the planning and designing phase. This book is as well designed as it is well written. If there is anything that I think the author missed a bit, it would be the 'Magic Numbers', which is a writing trick for making important things stand out, by giving it a 'name' and putting it in a box. This is effective but when the quantity of 'Magic Numbers' gets accumulated, it makes it hard to find the ones that reader needs. However, this is only a minor issue. This book is written as a textbook. It is well suited for senior design semesters, as being used at Stevens Institute of Technology, for computer major students to gain experiences with teamwork skills, learn to tradeoff and communicate with other team members, learn to face conflicts and search for solutions. Most importantly, learn to find the good software engineering practice for their own project through quantitative analysis, which is provided in this book. It is also good for experienced software professionals and managers who's trying to understand software engineering technologies. I would very much recommend this book to everyone who is interested in Software Engineering.

    Was this review helpful? Yes  No   Report this review
  • Anonymous

    Posted November 4, 2005

    An Instant Classic

    This book is a must read for every professional having responsibility for some aspect of a software development project. It presents the tools and techniques necessary to develop software systems on time and within budget, using quantitative, well-defined techniques. These quantitative techniques are clearly described in the text. The information and insight that the authors ¿Magic Numbers¿ give us is worth the price of the book! ¿Magic Numbers¿ are rules of thumb (developed from analysis of many past software projects) that give numerical insight to many phases of the software development project. An additional important element is the discussion of ethical behavior in a variety of situations. The case studies presented serve as real life examples of the pressures and problems that can plague a software project. The several projects discussed with which I have first hand knowledge are perceptively and accurately portrayed. The writing is clear, to the point and engaging. This is the book I wish I had at the beginning of my career in software development. I feel it belongs in the library of all software professionals and students alike. I love this book!

    Was this review helpful? Yes  No   Report this review
Sort by: Showing all of 2 Customer Reviews

If you find inappropriate content, please report it to Barnes & Noble
Why is this product inappropriate?
Comments (optional)