ISE Software Engineering

Name: ISE Software Engineering
Author: Roger Pressman

A Practitioner's Approach

Specificaties

Paperback, 1408 blz. | Engels

McGraw-Hill Education | 9e druk, 2019

ISBN13: 9781260548006

Rubricering

Hoofdrubriek : Computer en informatica

McGraw-Hill Education 9e druk, 2019 9781260548006

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Samenvatting

For almost four decades, 'Software Engineering: A Practitioner's Approach' (SEPA) has been the world's leading textbook in software engineering.

The ninth edition represents a major restructuring and update of previous editions, solidifying the book's position as the most comprehensive guide to this important subject.

Specificaties

ISBN13:9781260548006

Trefwoorden:Software engineering

Taal:Engels

Bindwijze:paperback

Aantal pagina's:1408

Uitgever:McGraw-Hill Education

Druk:9

Verschijningsdatum:30-9-2019

Hoofdrubriek:IT-management / ICT

Inhoudsopgave

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