ISE Software Engineering: A Practitioner's Approach - Bruce Maxim

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Auteur(s) : Bruce Maxim - Roger Pressman

Editeur : Mcgraw-Hill Education

Langue : Anglais

Parution : 01/09/2019

Format : Moyen, de 350g à 1kg

Nombre de pages : 1408

Expédition : 810

Dimensions : 22.1 x 16.9 x 2.3

ISBN : 9781260548006

Résumé :

1) Software and Software Engineering

Part One - The Software Process

2) Process Models

3) Agility and Process

4) Recommended Process Model

5) Human Aspects of Software Engineering

Part Two - Modeling

6) Principles That Guide Practice

7) Understanding Requirements

8) Requirements Modeling - A Recommended Approach

9) Design Concepts

10) Architectural Design - A Recommended Approach

11) Component-Level Design

12) User Experience Design

13) Design for Mobility

14) Pattern-Based Design

Part Three - Quality and Security

15) Quality Concepts

16) Reviews - A Recommended Approach

17) Software Quality Assurance

18) Software Security Engineering

19) Software Testing - Component Level

20) Software Testing - Integration Level

21) Software Testing - Specialized Testing for Mobility

22) Software Configuration Management

23) Software Metrics and Analytics

Part Four - Managing Software Projects

24) Project Management Concepts

25) Creating a Viable Software Plan

26) Risk Management

27) A Strategy for Software Support

Part Five - Advanced Topics

28) Software Process Improvement

29) Emerging Trends in Software Engineering

30) Concluding Comments

Appendix I - An Introduction to UML

Appendix II - Data Science for Software Engineers

...

Biographie:

1) Software and Software Engineering

Part One - The Software Process

2) Process Models

3) Agility and Process

4) Recommended Process Model

5) Human Aspects of Software Engineering

Part Two - Modeling

6) Principles That Guide Practice

7) Understanding Requirements

8) Requirements Modeling - A Recommended Approach

9) Design Concepts

10) Architectural Design - A Recommended Approach

11) Component-Level Design

12) User Experience Design

13) Design for Mobility

14) Pattern-Based Design

Part Three - Quality and Security

15) Quality Concepts

16) Reviews - A Recommended Approach

17) Software Quality Assurance

18) Software Security Engineering

19) Software Testing - Component Level

20) Software Testing - Integration Level

21) Software Testing - Specialized Testing for Mobility

22) Software Configuration Management

23) Software Metrics and Analytics

Part Four - Managing Software Projects

24) Project Management Concepts

25) Creating a Viable Software Plan

26) Risk Management

27) A Strategy for Software Support

Part Five - Advanced Topics

28) Software Process Improvement

29) Emerging Trends in Software Engineering

30) Concluding Comments

Appendix I - An Introduction to UML

Appendix II - Data Science for Software Engineers

Sommaire:

1) Software and Software Engineering

Part One - The Software Process

2) Process Models

3) Agility and Process

4) Recommended Process Model

5) Human Aspects of Software Engineering

Part Two - Modeling

6) Principles That Guide Practice

7) Understanding Requirements

8) Requirements Modeling - A Recommended Approach

9) Design Concepts

10) Architectural Design - A Recommended Approach

11) Component-Level Design

12) User Experience Design

13) Design for Mobility

14) Pattern-Based Design

Part Three - Quality and Security

15) Quality Concepts

16) Reviews - A Recommended Approach

17) Software Quality Assurance

18) Software Security Engineering

19) Software Testing - Component Level

20) Software Testing - Integration Level

21) Software Testing - Specialized Testing for Mobility

22) Software Configuration Management

23) Software Metrics and Analytics

Part Four - Managing Software Projects

24) Project Management Concepts

25) Creating a Viable Software Plan

26) Risk Management

27) A Strategy for Software Support

Part Five - Advanced Topics

28) Software Process Improvement

29) Emerging Trends in Software Engineering

30) Concluding Comments

Appendix I - An Introduction to UML

Appendix II - Data Science for Software Engineers