Web Engineering

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Web Engineering / Emilia Mendes, Nile Mosley

資料種別:

電子ブック

出版情報:

Springer eBooks Computer Science
Springer Berlin Heidelberg, 2006

著者名:

ISBN:

9783540281962 [3540281967]
9783540282181 [3540282181]
9783642066450 [3642066453]

書誌ID:

OB00349977

子書誌情報

フルテキスト

所蔵情報

書誌詳細

主題:

Information Technology - Software Engineering

言語:

英語

目次情報:

The Need for Web Engineering: An Introduction / 1：

Introduction / 1.1：

Web Applications Versus Conventional Software / 1.2：

Web Hypermedia, Web Software, or Web Application? / 1.2.1：

Web Development vs. Software Development / 1.2.2：

The Need for an Engineering Approach / 1.3：

Empirical Assessment / 1.4：

Conclusions / 1.5：

Acknowledgements

References

Authors' Biographies

Web Effort Estimation / 2：

Effort Estimation Techniques / 2.1：

Expert Opinion / 2.2.1：

Algorithmic Techniques / 2.2.2：

Artificial Intelligence Techniques / 2.2.3：

Measuring Effort Prediction Power and Accuracy / 2.3：

Measuring Predictive Power / 2.3.1：

Measuring Predictive Accuracy / 2.3.2：

Which Is the Most Accurate Prediction Technique? / 2.4：

Case Study / 2.5：

Data Validation / 2.5.1：

Variables and Model Selection / 2.5.2：

Extraction of effort Equation / 2.5.3：

Model Validation / 2.5.4：

Web Productivity Measurement and Benchmarking / 2.6：

Productivity Measurement Method / 3.1：

Productivity Measure Construction / 3.3：

Productivity Analysis / 3.3.2：

Web Quality / 3.4：

Different Perspectives of Quality / 4.1：

Standards and Quality / 4.2.1：

Quality Versus Quality in Use / 4.2.2：

Quality and User Standpoints / 4.2.3：

What is Web Quality? / 4.2.4：

Evaluating Web Quality using WebQEM / 4.3：

Quality Requirements Definition and Specification / 4.3.1：

Elementary Measurement and Evaluation / 4.3.2：

Global Evaluation / 4.3.3：

Conclusions and Recommendations / 4.3.4：

Automating the Process using WebQEM_Tool / 4.3.5：

Case Study: Evaluating the Quality of Two Web Applications / 4.4：

External Quality Requirements / 4.4.1：

Designing and Executing the Elementary Evaluation / 4.4.2：

Designing and Executing the Partial/Global Evaluation / 4.4.3：

Analysis and Recommendations / 4.4.4：

Concluding Remarks / 4.5：

Web Usability: Principles and Evaluation Methods / 5：

Usability in the Software Lifecycle / 5.1：

Chapter Organisation / 5.1.2：

Defining Web Usability / 5.2：

Usability and Accessibility / 5.2.1：

Web Usability Criteria / 5.3：

Content Visibility / 5.3.1：

Ease of Content Access / 5.3.2：

Ease of Content Browsing / 5.3.3：

Evaluation Methods / 5.4：

User Testing / 5.4.1：

Inspection Methods / 5.4.2：

Automatic Tools To Support Evaluations / 5.5：

Evaluation of the DEI Application / 5.6：

Design Inspection / 5.6.1：

Web Usage Analysis / 5.6.2：

Web System Reliability and Performance / 5.7：

Web Application Services / 6.1：

Web Resource Classification / 6.2.1：

Web Application's Bearing on System Resources / 6.2.2：

Workload Models and Performance Requirements / 6.2.3：

Applications Predominantly Dynamic / 6.3：

Dynamic Request Service / 6.3.1：

Software Technologies for the Application Logic / 6.3.2：

System Platforms / 6.3.3：

Testing Loop Phase / 6.4：

Representation of the Workload Model / 6.4.1：

Traffic Generation / 6.4.2：

Data Collection and Analysis / 6.4.3：

Performance Improvements / 6.5：

System Tuning / 6.5.1：

System Scale-up / 6.5.2：

System Scale-out / 6.5.3：

Service Characterisation and Design / 6.6：

System Consolidation and Performance Improvement / 6.6.2：

Web Application Testing / 6.7：

Web Application Testing: Challenges and Perspectives / 7.1：

Testing the Non-functional Requirements of a Web Application / 7.2.1：

Testing the Functional Requirements of a Web Application / 7.2.2：

Web Application Representation Models / 7.3：

Unit Integration and System Testing of a Web Application / 7.4：

Unit Testing / 7.4.1：

Integration Testing / 7.4.2：

System Testing / 7.4.3：

Strategies for Web Application Testing / 7.5：

White Box Strategies / 7.5.1：

Black Box Strategies / 7.5.2：

Grey Box Testing Strategies / 7.5.3：

User Session Based Testing / 7.5.4：

Tools for Web Application Testing / 7.6：

A Practical Example of Web Application Testing / 7.7：

An Overview of Process Improvement in Small Settings / 7.8：

Why Do Organisations Initiate SPI Efforts? / 8.1：

Process Improvement Cycle / 8.1.2：

Process Assessments / 8.1.3：

Implementation in Small Settings / 8.2：

Availability of Funds / 8.2.1：

Resources For Process Improvement / 8.2.2：

Process Model / 8.2.3：

Training / 8.2.4：

Relevance of Practices in Assessment Models / 8.2.5：

Changing Behaviour / 8.2.6：

Piloting Practices / 8.2.7：

Where To Start / 8.2.8：

Author's Biography / 8.3：

Conceptual Modelling of Web Applications: The OOWS Approach / 9：

A Method to Model Web Applications / 9.1：

OO-Method Conceptual Modelling / 9.2.1：

OOWS: Extending Conceptual Modelling to Web Environments / 9.2.2：

A Strategy To Develop the Web Solution / 9.3：

Case Study: Valencia CF Web Application / 9.4：

Model-Based Web Application Development / 9.5：

The OOHDM approach - An Overview / 10.1：

Requirements Gathering / 10.1.1：

Conceptual Design / 10.1.2：

Navigational Design / 10.1.3：

Abstract Interface Design / 10.1.4：

Implementation / 10.1.5：

Building an Online CD Store with OOHDM / 10.2：

Conceptual Modelling / 10.2.1：

Navigation Design / 10.2.3：

From Design to Implementation / 10.2.4：

Discussion and Lessons Learned / 10.4：

Authors' Biography / 10.5：

W2000: A Modelling Notation for Complex Web Applications / 11：

Modelling Elements / 11.1：

Models / 11.3：

Adaptability / 11.3.1：

Tool Support / 11.3.2：

Example Application / 11.4：

Information Model / 11.4.1：

Navigation Model / 11.4.2：

Presentation Model / 11.4.3：

Service Model / 11.4.4：

Conclusions and Future Work / 11.5：

What You Need To Know About Statistics / 12：

Describing Individual Variables / 12.1：

Types of Variables / 12.1.1：

Descriptive Statistics / 12.1.2：

The Normal Distribution / 12.2：

Overview of Sampling Theory / 12.3：

Other Probability Distributions / 12.4：

Identifying Relationships in the Data / 12.5：

Chi-Square Test for Independence / 12.5.1：

Correlation Analysis / 12.5.2：

Regression Analysis / 12.5.3：

Analysis of Variance (ANOVA) / 12.5.4：

Comparing Two Estimation Models / 12.5.5：

Final Comments / 12.5.6：

Empirical Research Methods in Web and Software Engineering / 13：

Overview of Empirical Methods / 13.1：

Empirical Methods in an Improvement Context / 13.3：

Controlled Experiments / 13.4：

Design / 13.4.1：

Operation / 13.4.3：

Analysis and Interpretation / 13.4.4：

Case Study Arrangements / 13.5：

Confounding Factors and Other Aspects / 13.5.3：

Survey / 13.6：

Survey Characteristics / 13.6.1：

Survey Purposes / 13.6.2：

Data Collection / 13.6.3：

Post-mortem Analysis / 13.7：

Summary / 13.8：

Authors Biographies

The Need for Web Engineering: An Introduction / 1：

Introduction / 1.1：

Web Applications Versus Conventional Software / 1.2：

Web Hypermedia, Web Software, or Web Application? / 1.2.1：

Web Development vs. Software Development / 1.2.2：

The Need for an Engineering Approach / 1.3：

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