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E-raamat: Systems and Software Engineering with Applications [Wiley Online]

  • Formaat: 464 pages
  • Ilmumisaeg: 27-Apr-2011
  • Kirjastus: Standards Information Network
  • ISBN-10: 1118098927
  • ISBN-13: 9781118098929
Teised raamatud teemal:
  • Wiley Online
  • Hind: 127,93 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
Systems and Software Engineering with ApplicationsSuurem pilt
  • Formaat: 464 pages
  • Ilmumisaeg: 27-Apr-2011
  • Kirjastus: Standards Information Network
  • ISBN-10: 1118098927
  • ISBN-13: 9781118098929
Teised raamatud teemal:
Wiley Online e-raamatudRohkem infot Wiley Online kohta
Raamatu kodulehekülg: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118098929
By way of this book, Norman Schneidewind has officially bridged the gap between the two disparate fields. Filled with many real-world examples drawn from industry and government, Systems and Software Engineering with Applications provides a new perspective for systems and software engineers to consider when developing optimal solutions. This unique approach to looking at the big picture when addressing system and software reliability can benefit students, practitioners, and researchers. Excel spreadsheets noted in the book are available on CD-Rom for an interactive learning experience. Read Systems and Software Engineering with Applications and learn how to: Quantitatively analyze the performance, reliability, maintainability, and availability of software in relation to the total system - Understand the availability of software in relation to the total system - Use standards as part of the solution - Evaluate and mitigate the risk of deploying software-based systems - Apply models dealing with the optimization of systems through quantitative examples provided to help you understand and interpret model results Some of the areas the book focuses on include: - Systems and software models, methods, tools, and standards - Quantitative methods to ensure reliability - Software reliability and metrics tools - Integrating testing with reliability - Cyber security prediction models - Ergonomics and safety in the workplace - Scheduling and cost control in systems and software.
Preface xix
Part 1 Systems and Software Engineering Models, Methods, Tools, and Standards
Chapter 1 Quantitative Methods to Ensure the Reliability, Maintainability, and Availability of Computer Hardware and Software
1(44)
Probability and Statistics
2(7)
Design of Experiments: ANOVA Randomized Block Model
9(1)
ANOVA Model
10(5)
Design of Experiments: One-way ANOVA
15(3)
Chebyshev's Theorem: The Rarity of Outliers
18(1)
Reliability and Failure Analysis
19(6)
Normal Distribution
25(2)
Multiple Component Reliability Analysis
27(4)
Computer System Availability and Maintenance
31(3)
Fault Tree Analysis
34(4)
Confidence Intervals Model
38(7)
Chapter 2 Overview of Software Reliability Engineering
45(18)
Scope of Software Reliability Problem
45(2)
What Is Software Reliability Engineering?
47(1)
Principles of Software Reliability Engineering
48(1)
Software Reliability Modeling
49(5)
Software Reliability Applications
54(1)
Software Reliability Data and Failure Scenarios
54(2)
Interpreting Software Reliability Predictions
56(2)
Failure Mode Effects Analysis
58(2)
Bayesian Analysis
60(3)
Chapter 3 Statistical Quality Control
63(14)
Statistical Quality Control
63(8)
Acceptance Sampling
71(2)
Binomial Distribution Method for Acceptance Sampling
73(1)
Single Sampling Plans for Consumer and Producer
74(1)
Double Sampling Plans for Consumer and Producer
75(2)
Chapter 4 Risk, Reliability, and Testing Case Study
77(26)
Overview of the Principles of Risk-Driven Reliability Model and Test Process
77(1)
Model and Process Basics
78(1)
Safety Critical Software Considerations
78(2)
Risk Analysis
80(2)
Reliability Analysis
82(1)
Predictions and Prediction Accuracy
83(1)
Tradeoff between Consumer's Risk and Producer's Risk
84(4)
Example Poisson Process Problem: First and Second Tests
88(11)
NASA Space Shuttle Application 94
99(4)
Chapter 5 Models for Systems and Software Engineering
103(26)
Learning Curve Models
103(5)
Learning Curve Exponential Model
108(3)
Software Production Time Model
111(1)
Software Production Regression Model
112(4)
Assessing the Effect of Defects and Complexity of Learning
116(1)
Queuing Analysis
117(2)
Single-Server Fault Detection and Correction Model with Exponentially Distributed Time between Arrivals and Service Times
119(3)
Multiple-Server Fault Detection and Correction Model with Exponentially Distributed Time between Arrivals and Service Times, and Finite Server Capacity
122(5)
Assessing Effectiveness of Fault Correction
127(2)
Chapter 6 Software Reliability Metrics
129(24)
Reliability Metric Assumptions
131(1)
New Software Reliability Metrics
132(5)
Modified Software Reliability Metrics
137(10)
Summary of Reliability Metric Results
147(1)
Conclusions
147(2)
Appendix
149(4)
Chapter 7 Software Reliability and Metrics Tools
153(34)
Background that Supports the Use of Tools
153(8)
Software Reliability Tools
161(2)
Software Reliability Prediction Results
163(5)
Software Metrics and Metrics Tools
168(4)
Appendix
172(15)
Chapter 8 Integrating Testing with Reliability
187(24)
Introduction
188(1)
Challenges to Efficient Testing
188(2)
Test Strategies
190(1)
Testing Process
191(3)
Integrated Testing and Reliability Model
194(1)
Constructing the Directed Graphs of Example Programs
195(1)
Test Strategy Evaluation
196(1)
Test Effectiveness
197(1)
Results of Test Strategies Evaluation
198(2)
Dynamic Testing Analysis
200(4)
Black-Box Testing Analysis
204(1)
Answers to Practical Questions
204(2)
Reliability Models that Combine Fault Correction with Testing
206(1)
Empirical Approaches to Testing
207(1)
Conclusions
208(3)
Chapter 9 Architecture, Performance, Reliability, and Availability
211(16)
Introduction
211(1)
Non-Parallel Computer Availability Model
212(1)
Parallel Computer Architectural Model
213(1)
Architectural Characteristics
214(1)
Integrating Reliability, Availability, and Performance
214(4)
Processor Performance Specifications and Architectural Data Values
218(1)
Comparing Computer Architectures
219(3)
Comparing Hardware and Software Reliability and Analyzing Incremental Performance
222(5)
Chapter 10 Internet Fault Tree Analysis for Reliability Estimation
227(18)
Introduction
227(1)
Fault Tree Analysis
228(2)
Model of FTA for Internet Services
230(4)
Event Failure Analysis
234(5)
Fault Tree for Analyzing Internet Service Failures
239(2)
Predicting Failure Rates with Fault Correction
241(4)
Chapter 11 Standard for Software Reliability
245(18)
Introduction
245(1)
Reliability Basics
246(1)
Hardware Reliability
247(1)
Software Reliability Engineering Risk Analysis
248(6)
Software Reliability Model Parameter Analysis
254(1)
Overview of Recommended Software Reliability Models
255(8)
Part 2 Applications of Systems and Software Engineering
Chapter 12 Simulation and Analytical Models: A Comparison
263(26)
Introduction
263(3)
Queuing Models f or Software Development
266(7)
Model Results
273(5)
Appendix
278(11)
Chapter 13 Object-Oriented Methods for Modeling Software Reliability
289(16)
Background on Object-Oriented Design
289(2)
O-O Concepts Applied to Software Reliability Model
291(5)
What Do O-O Designers say is Good Practice?
296(1)
Experience Using UML
297(1)
O-O Analysis
298(1)
Object-Oriented Design Process
299(1)
Implementing O-O Methods
300(1)
Conclusions About Applicability of O-O and UML to Mathematical Software
301(1)
Appendix
302(3)
Chapter 14 Cyber Security Prediction Models
305(28)
Introduction
306(1)
Cyber Security Strategies
306(1)
Cyber Security Threat to the Internet
307(1)
Internet Vulnerabilities
308(2)
Cyber Security Threat to Critical Infrastructure
310(1)
Cyber Security Issues
311(1)
Cyber Security Theory
311(1)
Importance of Cyber Security Models
311(1)
Cyber Security Model Validation
312(1)
Data Resources
312(1)
Relationship of Availability and Security
312(1)
Measurements in Cyber Security
312(1)
Risk Model
313(3)
Exponential Model #1
316(1)
Exponential Model #2
316(4)
Vulnerability Model
320(1)
Development of Confidence Intervals for CERT Vulnerability Count
321(2)
Intrusion Model
323(2)
Relative Measures of Effectiveness
325(1)
Time Duration of Intrusions Model
326(7)
Part 3 Systems and Software Engineering in the Workplace
Chapter 15 Ergonomics and Safety in the Workplace
333(12)
Application of the National Institute of Occupational Safety and Health (NIOSH) Formula
334(2)
Work Model
336(2)
OSHA Permissible Noise Levels (PELS)
338(1)
Cumulative Trauma Disorders of the Upper Extremities
339(1)
Rapid Upper Limb Assessment (RULA)
339(1)
Definition of Anthropometric
340(1)
Human-Machine Interface (HMI)
340(1)
Site Selection Factors
341(4)
Chapter 16 Facility Layout and Location Models
345(30)
Introduction
346(1)
Determinants of Facility Layout and Location
346(2)
Facility Layout and Location Model Development
348(6)
Heuristic for Achieving Closeness of Facilities
354(1)
Complexity of Connectivity
355(4)
Centroid Method for Facility Location Analysis
359(4)
REL Chart for Layout and Location Design
363(1)
From To Charts for Layout Design
364(1)
Component Routing and Assignment Analysis
365(2)
Facility Location Analysis with Weighted Scoring
367(1)
Facility Capacity Analysis
368(3)
Least-Cost Assignment Methods
371(4)
Chapter 17 Inventory Control
375(14)
Basic Economic Order Quantity (EOQ) Model
375(2)
Inventory with Demand and Production Runs But No Safety Stock (Case Study)
377(5)
Inventory with Demand, Production Runs, and Safety Stock
382(7)
Part 4 Scheduling and Cost Control in Systems and Software
Chapter 18 Scheduling
389(16)
Job-Scheduling Model
389(4)
Workflow Model
393(6)
Critical-Path Method (CPM) of Scheduling
399(2)
Program Evaluation and Review Technique (PERT)
401(4)
Chapter 19 Forecasting Models
405(10)
Exponential Smoothing Forecasting Model (ESM)
405(2)
Moving Average Model (MAM)
407(1)
Simple ARIMA Model
407(1)
Model Limitation
408(1)
Regression Model
408(1)
Failure Data Used in Examples
408(1)
Relative Error
409(1)
Forecast Results
409(1)
NASA Space Shuttle Software Release OI5
410(5)
Chapter 20 Cost Analysis
415(16)
Introduction
415(1)
Present Value Model: Exponential Growth
416(2)
Finding the Rate of Return on an Investment
418(3)
Identifying the Payback Period
421(1)
Asset Comparison
422(3)
Computing Annual Benefits
425(1)
Maintenance and Salvage Costs Calculations
426(1)
Activity-Based Costing (ABC)
426(1)
Analysis of Costs
427(2)
Standard Costs
429(1)
Product and Standard Costing
429(1)
Lagging and Leading Indicators
429(1)
Performance Metrics
429(1)
Break-Even Analysis
430(1)
Index 431
Dr. Norman F. Schneidewind is Professor Emeritus of Information Sciences in the Department of Information Sciences and the Software Engineering Group at the Naval Postgraduate School. He is now doing research and publishing in software reliability and metrics with his consulting company Computer Research. Dr. Schneidewind is a Fellow of the IEEE, contributions to software measurement models in reliability and metrics, and for leadership in advancing the field of software maintenance. In 2001, he received the IEEE Reliability Engineer of the Year award from the IEEE Reliability Society. In 1993 and 1999, he received awards for Outstanding Research Achievement by the Naval Postgraduate School. Dr. Schneidewind was selected for an IEEE USA Congressional Fellowship for 2005 and worked with the Committee on Homeland Security and Government Affairs, United States Senate, focusing on homeland security and cyber security.
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