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Informationen zum Autor 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. Klappentext 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 BoehmTrustworthy 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. Zusammenfassung This text provides quantitative analysis for software engineering practices in order to build reliable software products. Readers learn from discussions of real on-the-job experiences how important it is to plan, measure, and assess each stage of development. Illuminated with case studies, the book concentrates on problem analysis. Inhaltsverzeichnis Preface xvii Acknowledgment xxv Part 1 Getting Started 1 1. Think Like an Engineer-Especially for Software 3 1.1 Making a Judgment 4 1.2 The Software Engineer's Responsibilities 6 1.3 Ethics 6 1.4 Software Development Processes 11 1.5 Choosing a Process 12 1.5.1 No-Method "Code and Fix" Approach 15 1.5.2 Waterfall Model 16 1.5.3 Planned Incremental Development Process 18 1.5.4 Spiral Model: Planned Risk Assessment-Driven Process 18 1.5.5 Development Plan Approach 23 1.5.6 Agile Process: an Apparent Oxymoron 25 1.6 Reemergence of Model-Based Software Development 26 1.7 Process Evolution 27 1.8 Organization Structure 29 1.9 Principles of Sound Organizations 31 1.10 Short Projects-4 to 6 Weeks 33 1.10.1 Project 1: Automating Library Overdue Book Notices 33 1.10.2 Project 2: Ajax Transporters, Inc. Maintenance Project 34 1.11 Problems 35 2. People, Product, Process, Project-The Big Four 39 2.1 People: Cultivate the Guru and Support the Majority 40 2.1.1 How to Recognize a Guru 41 2.1.2 How to Attract a Guru to Your Project 42 2.1....
List of contents
Preface.
Acknowledgment.
PART 1: GETTING STARTED.
1. Think Like an Engineer--Especially for Software.
2. People, Process, Product, Project-The Big Four.
PART 2: ETHICS AND PROFESSIONALISM.
3. Software Requirements.
4. Prototyping.
5. Architecture.
6. Estimation, Planning and Investment.
7. Design for Trustworthiness.
PART 3: TAKING THE MEASURE OF THE SYSTEM.
8. Identifying and Managing Risk.
9. Human Factors in Software Engineering.
10. Implementation Details.
11. Testing, Manufacturing and Configuration Management.
12. The Final Project: By Students, For Students.
Index.
Report
"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 Reviews.com , 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)